Dissertations / Theses: 'Affective intelligence'

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Yates, Heath. "Affective Intelligence in Built Environments." Diss., Kansas State University, 2018. http://hdl.handle.net/2097/38790.

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Doctor of Philosophy Department of Computer Science William H. Hsu The contribution of the proposed dissertation is the application of affective intelligence in human-developed spaces where people live, work, and recreate daily, also known as built environments. Built environments have been known to influence and impact individual affective responses. The implications of built environments on human well-being and mental health necessitate the need to develop new metrics to measure and detect how humans respond subjectively in built environments. Detection of arousal in built environments given biometric data and environmental characteristics via a machine learning-centric approach provides a novel and new capability to measure human responses to built environments. Work was also conducted on experimental design methodologies for multiple sensor fusion and detection of affect in built environments. These contributions include exploring new methodologies in applying supervised machine learning algorithms, such as logistic regression, random forests, and artificial neural networks, in the detection of arousal in built environments. Results have shown a machine learning approach can not only be used to detect arousal in built environments but also for the construction of novel explanatory models of the data.

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Yacoubi, Alya. "Vers des agents conversationnels capables de réguler leurs émotions : un modèle informatique des tendances à l’action." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS378/document.

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Les agents virtuels conversationnels ayant un comportement social reposent souvent sur au moins deux disciplines différentes : l’informatique et la psychologie. Dans la plupart des cas, les théories psychologiques sont converties en un modèle informatique afin de permettre aux agents d’adopter des comportements crédibles. Nos travaux de thèse se positionnent au croisement de ces deux champs disciplinaires. Notre objectif est de renforcer la crédibilité des agents conversationnels. Nous nous intéressons aux agents conversationnels orientés tâche, qui sont utilisés dans un contexte professionnel pour produire des réponses à partir d’une base de connaissances métier. Nous proposons un modèle affectif pour ces agents qui s’inspire des mécanismes affectifs chez l’humain. L’approche que nous avons choisie de mettre en œuvre dans notre modèle s’appuie sur la théorie des Tendances à l’Action en psychologie. Nous avons proposé un modèle des émotions en utilisant un formalisme inspiré de la logique BDI pour représenter les croyances et les buts de l’agent. Ce modèle a été implémenté dans une architecture d’agent conversationnel développée au sein de l’entreprise DAVI. Afin de confirmer la pertinence de notre approche, nous avons réalisé plusieurs études expérimentales. La première porte sur l’évaluation d’expressions verbales de la tendance à l’action. La deuxième porte sur l’impact des différentes stratégies de régulation possibles sur la perception de l’agent par l’utilisateur. Enfin, la troisième étude porte sur l’évaluation des agents affectifs en interaction avec des participants. Nous montrons que le processus de régulation que nous avons implémenté permet d’augmenter la crédibilité et le professionnalisme perçu des agents, et plus généralement qu’ils améliorent l’interaction. Nos résultats mettent ainsi en avant la nécessité de prendre en considération les deux mécanismes émotionnels complémentaires : la génération et la régulation des réponses émotionnelles. Ils ouvrent des perspectives sur les différentes manières de gérer les émotions et leur impact sur la perception de l’agent Conversational virtual agents with social behavior are often based on at least two different disciplines : computer science and psychology. In most cases, psychological findings are converted into computational mechanisms in order to make agents look and behave in a believable manner. In this work, we aim at increasing conversational agents’ belivielibity and making human-agent interaction more natural by modelling emotions. More precisely, we are interested in task-oriented conversational agents, which are used as a custumer-relationship channel to respond to users request. We propose an affective model of emotional responses’ generation and control during a task-oriented interaction. Our proposed model is based, on one hand, on the theory of Action Tendencies (AT) in psychology to generate emotional responses during the interaction. On the other hand, the emotional control mechanism is inspired from social emotion regulation in empirical psychology. Both mechanisms use agent’s goals, beliefs and ideals. This model has been implemented in an agent architecture endowed with a natural language processing engine developed by the company DAVI. In order to confirm the relevance of our approach, we realized several experimental studies. The first was about validating verbal expressions of action tendency in a human-agent dialogue. In the second, we studied the impact of different emotional regulation strategies on the agent perception by the user. This study allowed us to design a social regulation algorithm based on theoretical and empirical findings. Finally, the third study focuses on the evaluation of emotional agents in real-time interactions. Our results show that the regulation process contributes in increasing the credibility and perceived competence of agents as well as in improving the interaction. Our results highlight the need to take into consideration of the two complementary emotional mechanisms : the generation and regulation of emotional responses. They open perspectives on different ways of managing emotions and their impact on the perception of the agent

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Hayes, Sarah Ann. "Effects of Ability Emotional Intelligence and Sadness on Affective Forecasts about Physical." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1556308763694415.

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Curran, Michael D. "Affective Intelligence, The Political Persuasion Process, And Outcome Intent: An Experimental Test." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195585.

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Political communication scholars aim to understand the effect of messages on political attitudes and behavior. Past scholarship has identified three sources of influence in forming attitudes and behavior: affective, cognitive, and personality factors. While much attention has been paid to the impact of each single factor, little research has attempted to integrate them. Using the Affective Intelligence model as a theoretical point of departure (Marcus, & MacKuen, 1993; Marcus et al., 2000), this dissertation explored the simultaneous--and, in some cases, interactive relationships--between these attitudinal and behavioral influences. An experiment was conducted to answer three questions: first, do the causal claims made by Marcus and colleagues regarding the impact of emotion on political attitudes and behavior hold-up outside the realm of survey research? Second, what role does cognitive appraisals of messages play in the political persuasion process? Finally, does political efficacy moderate the relationships between induced emotional response, cognitive appraisals of messages, and political attitudes and behavior? Alternatively stated, does political efficacy link these factors together?The results of this study should be carefully interpreted as the causal instrument underlying manipulated attitudes was not transparent. The desired experimental manipulation--induced anxiety--was not unidimensional. While inductions did induce negative affect, they simultaneously induced positive affect. Within the confines of this document, this result is discussed at length and numerous possible explanations are offered.Structural equation modeling indicated that affect had a small impact on political attitudes and behavior. Likewise, the impact of cognitive appraisals of messages on attitudes and behavior was small. Alternatively, internal efficacy had a substantial main effect--not an interactive effect--on political attitudes and behavior.In summary, the results demonstrated the power of personality in predicting political attitudes and behavior. By trait, some individuals are more politically efficacious than others. Those with higher levels of internal efficacy tended to identify experimental messages as relevant to the attitudes they held, indicating that confidence in one's ability to comprehend politics and understand political happenings leads to identifying message content as applicable or appropriate. Additionally, these same individuals were likely to seek out more information about politics.

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Sasa, Yuko. "Intelligence Socio-Affective pour un Robot : primitives langagières pour une interaction évolutive d'un robot de l’habitat intelligent." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM041/document.

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Le Traitement Automatique de la Parole (TAP) s’intéresse de plus en plus et progresse techniquement en matière d’étendue de vocabulaire, de gestion de complexité morphosyntaxique, de style et d’esthétique de la parole humaine. L’Affective Computing tend également à intégrer une dimension « émotionnelle » dans un objectif commun au TAP visant à désambiguïser le langage naturel et augmenter la naturalité de l’interaction personne-machine. Dans le cadre de la robotique sociale, cette interaction est modélisée dans des systèmes d’interaction, de dialogue, qui tendent à engendrer une dimension d’attachement dont les effets doivent être éthiquement et collectivement contrôlés. Or la dynamique du langage humain situé met à mal l’efficacité des systèmes automatiques. L’hypothèse de cette thèse propose dans la dynamique des interactions, il existerait une « glu socio-affective » qui ferait entrer en phases synchroniques deux individus dotés chacun d’un rôle social impliqué dans une situation/contexte d’interaction. Cette thèse s'intéresse à des dynamiques interactionnelles impliquant spécifiquement des processus altruistes, orthogonale à la dimension de dominance. Cette glu permettrait ainsi de véhiculer les événements langagiers entre les interlocuteurs, en modifiant constamment leur relation et leur rôle, qui eux même viennent à modifier cette glu, afin d’assurer la continuité de la communication. La seconde hypothèse propose que la glu socio-affective se construise à partir d’une « prosodie socio-affective pure » que l’on peut retrouver dans certaines formes de micro-expressions vocales. L’effet de ces événements langagiers serait alors graduel en fonction du degré de contrôle d’intentionnalité communicative qui s’observerait successivement par des primitives langagières : 1) des bruits de bouche (non phonétiques, non phonologiques), 2) des sons prélexicaux, 3) des interjections/onomatopées, 4) des imitations à contenu lexical contrôlé. Une méthodologie living-lab est ainsi développée au sein de la plateforme Domus, sur des boucles agiles et itératives co-construites avec les partenaires industriels et sociétaux. Un Magicien d’Oz – EmOz – est utilisé afin de contrôler les primitives vocales comme unique support langagier d’un robot majordome d’un habitat intelligent interagissant avec des personnes âgées en isolement relationnel. Un large corpus, EmOz Elderly Expressions –EEE– est ainsi recueilli. Cet isolement relationnel permet méthodologiquement d’appréhender les dimensions de la glu socio-affective, en introduisant une situation contrastive dégradée de la glu. Les effets des primitives permettraient alors d’observer les comportements de l’humain à travers des indices multimodaux. Les enjeux sociétaux abordés par la gérontechnologie montrent que l’isolement est un facteur de fragilisation où la qualité de la communication délite le maillage relationnel des personnes âgées alors que ces liens sont bénéfiques à sa santé et son bien-être. L’émergence de la robotique d’assistance en est une illustration. Le système automatisé qui découlera des données et des analyses de cette étude permettrait alors d’entraîner les personnes à solliciter pleinement leurs mécanismes de construction relationnelle, afin de redonner l’envie de communiquer avec leur entourage humain. Les analyses du corpus EEE recueilli montrent une évolution de la relation à travers différents indices interactionnels, temporellement organisés. Ces paramètres visent à être intégrés dans une perspective de système de dialogue incrémental – SASI. Les prémisses de ce système sont proposées dans un prototype de reconnaissance de la parole dont la robustesse ne dépendra pas de l’exactitude du contenu langagier reconnu, mais sur la reconnaissance du degré de glu, soit de l’état relationnel entre les locuteurs. Ainsi, les erreurs de reconnaissance tendraient à être compensées par l’intelligence socio-affective adaptative de ce système dont pourrait être doté le robot The Natural Language Processing (NLP) has technically improved regarding human speech vocabulary extension, morphosyntax scope, style and aesthetic. Affective Computing also tends to integrate an “emotional” dimension with a common goal shared with NLP which is to disambiguate the natural language and increase the human-machine interaction naturalness. Within social robotics, the interaction is modelled in dialogue systems trying to reach out an attachment dimension which effects need to an ethical and collective control. However, the situated natural language dynamics is undermining the automated system’s efficiency, which is trying to respond with useful and suitable feedbacks. This thesis hypothesis supposes the existence of a “socio-affective glue” in every interaction, set up in between two individuals, each with a social role depending on a communication context. This glue is so the consequence of dynamics generated by a process which mechanisms rely on an altruistic dimension, but independent of dominance dimension as seen in emotions studies. This glue would allow the exchange of the language events between interlocutors, by regularly modifying their relation and their role, which is changing themselves this glue, to ensure the communication continuity. The second hypothesis proposes the glue as built by “socio-affective pure prosody” forms that enable this relational construction. These cues are supposed to be carried by hearable and visible micro-expressions. The interaction events effect would also be gradual following the degree of the communication’s intentionality control. The graduation will be continuous through language primitives as 1) mouth noises (neither phonetics nor phonological sounds), 2) pre-lexicalised sounds, 3) interjections and onomatopoeias, 4) controlled command-based imitations with the same socio-affective prosody supposed to create and modify the glue. Within the Domus platform, we developed an almost living-lab methodology. It functions on agile and iterative loops co-constructed with industrial and societal partners. A wizard of oz approach – EmOz – is used to control the vocal primitives proposed as the only language tools of a Smart Home butler robot interacting with relationally isolated elderly. The relational isolation allows the dimensions the socio-affective glue in a contrastive situation where it is damaged. We could thus observe the primitives’ effects through multimodal language cues. One of the gerontechnology social motivation showed the isolation to be a phenomenon amplifying the frailty so can attest the emergence of assistive robotics. A vicious circle leads by the elderly communicational characteristics convey them to some difficulties to maintain their relational tissue while their bonds are beneficial for their health and well-being. If the proposed primitives could have a real effect on the glue, the automated system will be able to train the persons to regain some unfit mechanisms underlying their relational construction, and so possibly increase their desire to communicate with their human social surroundings. The results from the collected EEE corpus show the relation changes through various interactional cues, temporally organised. These denoted parameters tend to build an incremental dialogue system in perspectives – SASI. The first steps moving towards this system reside on a speech recognition prototype which robustness is not based on the accuracy of the recognised language content but on the possibility to identify the glue degree (i.e. the relational state) between the interlocutors. Thus, the recognition errors avoid the system to be rejected by the user, by tempting to be balanced by this system’s adaptive socio-affective intelligence

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Sellars, Maura, and res cand@acu edu au. "The Affective Component in Effective Education." Australian Catholic University. School of Education, 2003. http://dlibrary.acu.edu.au/digitaltheses/public/adt-acuvp103.11092006.

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This study investigated eight and nine year old children’s capabilities to develop skills in the intrapersonal intelligence domain as defined by Howard Gardner. A group of twenty-seven, seven to nine year olds were introduced to a program specifically designed to foster their self-knowledge as learners and their self-management skills in the English learning environment. The students were introduced to activities that would help them to identify their own relative strengths and limitations and use this knowledge to negotiate a learning environment that would best suit their own learning needs. This program included developing skills in goal setting and identification of personal learning strategies. It also sought to improve work habits and student on- task behaviours and encourage self-monitoring, self-evaluation and self-reflection. The results obtained evidenced a considerable improvement in the students’ self knowledge and how this impacted on their perceptions of themselves as learners. The students grew increasingly aware of their own relative strengths and used this information to negotiate their learning environment, to identify strategies that worked for them and to take increasingly more responsibility for their own learning. As a result of the findings of this study, there are clear implications that if students are provided with opportunities to develop accurate intrapersonal intelligence, this improved awareness of ‘self’ can have an impact on successful learning. This study indicates that if teachers provide students with opportunities to investigate and learn about themselves as learners, to build skills in goal setting and to identify personal learning strategies, then an increase in self-knowledge and self-management will impact positively on the students’ capacity to learn successfully. Consequently, programs and strategies designed to promote students’ intrapersonal intelligence may become a valuable part of school practice and curricula.

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Johansson, Anja. "Affective Decision Making in Artificial Intelligence : Making Virtual Characters With High Believability." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84700.

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Artificial intelligence is often used when creating believable virtual characters in games or in other types of virtual environments. The intelligent behavior these characters show to the player is often flawed, leading to a worse gameplay experience. In particular, there is often little or no emotional impact on the decision making of the characters. This thesis focuses on extending decision-making and pathfinding mechanisms for virtual characters, with a particular focus on the use of emotions. The thesis is divided into three parts. The first part is an introductory study concerning the requirements designing a believable virtual character places on the architecture used. Gameplay design patterns are used as a tool to analyze the proposed agent architecture and discussions are presented regarding the necessary properties of such an architecture with respect to gameplay. The second part extends two action selection mechanisms to include emotional impact. In particular, behavior networks are extended to take complex emotional impact into account, including emotional parameters, emotional goals, and emotional influences.Moreover, time-discounting is introduced into behavior networks as a factor in the decision making. The time-discounting is also under emotional influence. The second action selection mechanism extended to use emotional impact is behavior trees. Since behavior trees are widely used by game designers, allowing full control over the characters’ behaviors, the work in this thesis proposes a new type of emotional selector which only affects a part ofthe behavior tree, leaving the control in the hands of the designer. The third part focuses on more complex pathfinding where more factors than finding the shortest collisionfree path through an environment are considered. A new type of visibility map is introduced. Using the knowledge of the virtual character about previous enemy positions, a more accurate visibility map is created. The visibility map is used for covert pathfinding, where the character tries to find a path through an environment while trying to minimize the risk of being seen by the enemy. Finally, a new kind of pathfinding, emotional pathfinding, is introduced, based on the use of emotion maps. Humans often have emotional attachment to geographical locations because they have previously felt emotions at those locations. This approach takes advantage of this knowledge and enables a virtual character to find a path through an environment that is as emotionally pleasant as possible.

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Abd, Gaus Yona Falinie. "Artificial intelligence system for continuous affect estimation from naturalistic human expressions." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/16348.

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The analysis and automatic affect estimation system from human expression has been acknowledged as an active research topic in computer vision community. Most reported affect recognition systems, however, only consider subjects performing well-defined acted expression, in a very controlled condition, so they are not robust enough for real-life recognition tasks with subject variation, acoustic surrounding and illumination change. In this thesis, an artificial intelligence system is proposed to continuously (represented along a continuum e.g., from -1 to +1) estimate affect behaviour in terms of latent dimensions (e.g., arousal and valence) from naturalistic human expressions. To tackle the issues, feature representation and machine learning strategies are addressed. In feature representation, human expression is represented by modalities such as audio, video, physiological signal and text modality. Hand- crafted features is extracted from each modality per frame, in order to match with consecutive affect label. However, the features extracted maybe missing information due to several factors such as background noise or lighting condition. Haar Wavelet Transform is employed to determine if noise cancellation mechanism in feature space should be considered in the design of affect estimation system. Other than hand-crafted features, deep learning features are also analysed in terms of the layer-wise; convolutional and fully connected layer. Convolutional Neural Network such as AlexNet, VGGFace and ResNet has been selected as deep learning architecture to do feature extraction on top of facial expression images. Then, multimodal fusion scheme is applied by fusing deep learning feature and hand-crafted feature together to improve the performance. In machine learning strategies, two-stage regression approach is introduced. In the first stage, baseline regression methods such as Support Vector Regression are applied to estimate each affect per time. Then in the second stage, subsequent model such as Time Delay Neural Network, Long Short-Term Memory and Kalman Filter is proposed to model the temporal relationships between consecutive estimation of each affect. In doing so, the temporal information employed by a subsequent model is not biased by high variability present in consecutive frame and at the same time, it allows the network to exploit the slow changing dynamic between emotional dynamic more efficiently. Following of two-stage regression approach for unimodal affect analysis, fusion information from different modalities is elaborated. Continuous emotion recognition in-the-wild is leveraged by investigating mathematical modelling for each emotion dimension. Linear Regression, Exponent Weighted Decision Fusion and Multi-Gene Genetic Programming are implemented to quantify the relationship between each modality. In summary, the research work presented in this thesis reveals a fundamental approach to automatically estimate affect value continuously from naturalistic human expression. The proposed system, which consists of feature smoothing, deep learning feature, two-stage regression framework and fusion using mathematical equation between modalities is demonstrated. It offers strong basis towards the development artificial intelligent system on estimation continuous affect estimation, and more broadly towards building a real-time emotion recognition system for human-computer interaction.

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Baillie, Penny. "The synthesis of emotions in artificial intelligences: an affective agent architecture for intuitive reasoning in artificial intelligences." University of Southern Queensland, Faculty of Business, 2002. http://eprints.usq.edu.au/archive/00001408/.

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[Abstract]: This dissertation addresses several highly-critical issues in affective computing and agent architecture design including knowledge representation, motivation, emotion appraisal and affective decision making. The approach presented integrates motivational drives, goals and associated behaviours via a multi-dimensional Affective Space. The research focuses on an emotionally motivated artificial intelligence (EMAI) architecture. This architecture dispenses with the ideas implemented in contemporary affective agent architectures where individual emotional states are modelled as individual variables, integrated and processed using complex algorithms. Contemporary approaches required significant programming effort to modify them for domains outside their realm, integration of new emotional states and high-level complex affective decision making. Unlike contemporary affective agent architectures, the EMAI architecture reasons using a multi-dimensional decision making process where emotional states are modelled as coexisting locations in a six-dimensional affective continuum called the Affective Space. Through use of the Affective Space, an EMAI agent can predict the effect that certain behaviours will have on its emotional state and in turn decide how to behave. Furthermore, the agent can use the emotions produced from its behaviour to update its beliefs about particular events and entities. The nature of the Affective Space also allows an EMAI agent to deal with processes related to emotion synthesis in a more effective manner than contemporary architectures. These processes include the natural diminishing of an emotional state's strength over time, the way in which emotions can influence an agent's perspective of a situation and the way in which an agent can migrate from one emotional state to another. This dissertation contributes crucial and unique concepts and formalisations of emotion based intelligence for agent construction to the domain of Artificial Intelligence (in particular Affective Computing). It introduces a unique process for emotionally motivated decision making based on holistic and atomic appraisals made with respect to events. The thesis contained within has been supported through experimentation that has confirmed the effectiveness of the emotion synthesis technique in the EMAI architecture and how this is used to produce intelligent agents capable of emotional reasoning and decision making.

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Neto, Ary Fagundes Bressane. "Uma arquitetura para agentes inteligentes com personalidade e emoção." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-28072010-121443/.

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Uma das principais motivações da Inteligência Artificial no contexto dos sistemas de entretenimento digital é criar personagens adaptáveis a novas situações, pouco previsíveis, com aprendizado rápido, memória de situações passadas e uma grande diversidade de comportamentos consistente e convincente ao longo do tempo. De acordo com recentes estudos desenvolvidos nos campos da Neurociência e da Psicologia, a capacidade de resolução de problemas não está unicamente atrelada à facilidade na manipulação de símbolos, mas também à exploração das características do ambiente e à interação social, que pode ser expressa na forma de fenômenos emocionais. Os resultados desses estudos confirmam o papel fundamental que cumprem a personalidade e as emoções nas atividades de percepção, planejamento, raciocínio, criatividade, aprendizagem, memória e tomada de decisão. Quando módulos para a manipulação de personalidade e emoções são incorporados à teoria de agentes, é possível a construção de Agentes com Comportamento Convincente (Believable Agents). O objetivo principal deste trabalho é desenvolver e implementar uma arquitetura de agentes inteligentes para construir personagens sintéticos cujos estados afetivos influenciam em suas atividades cognitivas. Para o desenvolvimento de tal arquitetura utilizou-se o modelo BDI (Beliefs, Desires e Intentions) como base e aos módulos existentes em uma implementação desse modelo foi incluído um Módulo Afetivo. Esse Módulo Afetivo é constituído por três submódulos (Personalidade, Humor e Emoção) e deve impactar nas atividades cognitivas de percepção, memória e tomada de decisão do agente. Duas provas de conceito (experimentos) foram construídas : a simulação do problema do ``Dilema do Prisioneiro Iterado\'\' e a versão computadorizada do ``Jogo da Memória\'\'. A construção desses experimentos permitiu avaliar empiricamente a influência da personalidade, humor e emoção nas atividades cognitivas dos agentes, e consequentemente no seu comportamento. Os resultados evidenciam que a utilização da nova arquitetura permite a construção de agentes com comportamentos mais coerentes, adaptativos e cooperativos quando comparados aos de agentes construídos com arquiteturas cujas atividades cognitivas não consideram o estado afetivo, e também produz um comportamento mais próximo de um agente humano que de um comportamento ótimo ou aleatório. Essa evidência de sucesso, apresentada nos resultados, mostra que os agentes construídos com a arquitetura proposta nessa dissertação indicam um avanço na direção do desenvolvimento dos Agentes com Comportamento Convincente. One of the main motivations of Artificial Intelligence in the context of the digital entertainment systems is to create characters that are adaptable to new situations, unpredictable, fast learners, enable with memory of past situations and a variety of consistent and convincing behavior over time. According to recent studies conducted in the fields of Neuroscience and Psychology, the ability to solve problems is not only related to the capacity to manipulate symbols, but also to the ability to explore the environment and to engage into social interaction, which can be expressed as emotional phenomena. The results of these studies confirm the key role the personality and emotions play in the activities of perception, attention, planning, reasoning, creativity, learning, memory and decision making. When modules for handling personality and emotion, are incorporated in a theory of agents, it is possible to build Believable Agents. The main objective of this work is to develop and implement an intelligent agent architecture to build synthetic characters whose affective states influence their cognitive activities. To develop such architecture the BDI model (Beliefs, Desires and Intentions) was used as a basis, to which an Affective Module was included. The Affective Module consists of three sub-modules (Personality, Mood and Emotion), which influence the cognitive activities of perception, memory and decision making. Finally, two proofs of concept were built: the simulation of the problem of ``Iterated Prisoner\'s Dilemma\'\' and the computerized version of the ``Memory Game.\'\' The construction of these experiments allowed to evaluate empirically the influence of personality, mood and emotion in cognitive activities of agents and consequently in their behavior. The results show that using the proposed architecture one can build agents with more consistent, adaptive and cooperative behaviors when compared to agents built with architectures whose affective states do not influence their cognitive activities. It also produces a behavior that is closer to a human user than that of optimal or random behavior. This evidence of success, presented in the obtained results, show that agents built with the proposed architecture indicate an advance towards the development of Believable Agents.

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Gueldner, Barbara Ann. "The effectiveness of a social-emotional learning program with middle school students in a general education setting and the impact of consultation support using performance methods /." view abstract or download file of text, 2007. http://proquest.umi.com/pqdweb?did=1453185351&sid=1&Fmt=2&clientId=11238&RQT=309&VName=PQD.

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Thesis (Ph. D.)--University of Oregon, 2007. Typescript. Includes vita and abstract. Includes bibliographical references (leaves 157-164). Also available for download via the World Wide Web; free to University of Oregon users.

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Goode, Kim Patricia. "Enhancing the affective domain in order to reduce fear of death in first-year student nurses." Thesis, University of Hertfordshire, 2015. http://hdl.handle.net/2299/17172.

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This study seeks to investigate fear of death in first-year student nurses. It considers how this might be ameliorated through teaching and learning interventions that involve addressing emotional and spiritual intelligence within the affective domain. Fear of death, for this study, is defined as fear of death and of caring for dying people and their families. A pragmatic paradigm and a mixed method approach were used to explore the feelings and experiences of newly recruited student nurses in relation to fear of death and the care of the dying person and their families. Quantitative and qualitative methods were used to examine the impact of two different interventions intended to reduce the fear of death. A questionnaire was used to measure aspects of fear of death. The students were then randomly allocated to three groups. The members of two of the groups experienced an intervention, either a psychological self-help programme called 'Do Something Different', (Fletcher and Pine, 2009) or a weekly group meeting that explored relationships and the use of spiritual strategies based on Family Constellation theory (Hellinger, 2006). The third group acted as a control. After a period of time in clinical practice, the questionnaire was administered again and the results analysed and interpreted. The relationship between the students' fear of death and their age, previous experiences, ethnicity and spiritual beliefs was explored. Findings indicate that the interventions had a positive influence on reducing the students' fear of death. The qualitative part of the study involved semi-structured interviews with fifteen of the students who had completed both questionnaires. Their experiences of preparation for caring for dying people and of being in an intervention group were discussed. The interviews were analysed using interpretive phenomenological analysis (IPE). Influencing factors from home, such as cultural issues, and from within the clinical context, such as mentorship, were identified. The thesis contributes to nursing education and practice by showing that early preparation for caring for dying people can be effective in reducing fear of death. Results demonstrate that there is value in using strategies to help the student to develop emotional and spiritual intelligence in order to prepare for aspects of dying, before they experience the death of a patient. This preparation enhances the quality of the therapeutic relationship between student and patient. Another outcome is that students need a particular quality of support, at home and in clinical practice and that there are particular implications for Black, Asian and Minority Ethnic (BAME) students. Mentors of students need to be trained to be sensitive to the students' needs when caring for people who are dying. Greater attention to preparation for death and care of the dying is likely to enhance the provision of end of life care and may also reduce attrition in first-year student nurses.

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Rankin, Robert F. "Emotional intelligence : attrition and attainment in nursing and midwifery education." Thesis, University of Stirling, 2009. http://hdl.handle.net/1893/2321.

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Attrition in Higher Education continues to present academics, researchers and professionals with an ongoing dilemma. Achieving a fair balance between the academic rigour of meritocracy and the wider access agenda of social inclusion, demands that entrance criteria incorporates measures beyond the traditional prior academic attainment. Emotional Intelligence has been presented in the literature as a valid and reliable predictor of retention and performance in industry and researchers have suggested that similar benefits may be found in education. In this dissertation, the construct of Emotional Intelligence was explored, reviewing contemporary models and their respective measurement tools. A self report tool for measuring ‘trait’ Emotional Intelligence was selected from the review and used to examine the predictive relationship between emotional intelligence and the outcomes at the end of the first year of undergraduate nurse education namely: clinical practice performance; academic performance and course attrition by nursing and midwifery students. The sample group consisted of a cohort of student nurses and midwives (N = 178) who commenced their training in 2007. A significant predictive relationship was found between emotional intelligence and clinical practice performance (r = 0.75, N = 116, p < 0.05); emotional intelligence and academic performance (r = 0.16, N = 168, p < 0.05) and emotional intelligence and attrition (r = 0.31, N = 178, p < 0.05). Age was also found to predict attrition (r = 0.25, N = 178, p < 0.05) while prior academic attainment was found to predict academic performance (r = 0.20, N = 168, p < 0.05). The dissertation proposes the inclusion of measures of emotional intelligence as an aid to recruitment and selection processes in nurse and midwifery education. It also recommends that other practice based vocational programmes, within the higher education sector, consider exploring emotional intelligence in their recruitment and selection processes.

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Leonhardt, Michelle Denise. "Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/49756.

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Embodied Conversational Agents (ECAs) are intelligent software entities with an embodiment used to communicate with users, using natural language. Their purpose is to exhibit the same properties as humans in face-to-face conversation, including the ability to produce and respond to verbal and nonverbal communication. Researchers in the field of ECAs try to create agents that can be more natural, believable and easy to use. Designing an ECA requires understanding that manner, personality, emotion, and appearance are very important issues to be considered. In this thesis, we are interested in increasing believability of ECAs by placing personality at the heart of the human-agent verbal interaction. We propose a model relating personality facets and hidden communication goals that can influence ECA behaviors. Moreover, we apply our model in agents that interact in a puzzle game application. We develop five distinct personality oriented agents using an expressive communication language and a plan-based BDI approach for modeling and managing dialogue according to our proposed model. In summary, we present and test an innovative approach to model mental aspects of ECAs trying to increase their believability and to enhance human-agent affective communication. With this research, we hope to improve the understanding on how ECAs with expressive and affective characteristics can establish and maintain long-term human-agent relationships.

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Wahl, Angela Rae. "The influence of emotional intelligence of managers on job insecurity and coping behaviour / Angela Rae Wahl." Thesis, North-West University, 2011. http://hdl.handle.net/10394/10396.

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Job insecurity in the current global climate has escalated and more organisations are engaged in downsizing and restructuring in an attempt to survive under difficult economic conditions. At the same time, organisations are also exposed to structural reforms and international competition leading to transformations in the labour market. Jordan, Ashkanasy and Hartel (2002) developed a model to explain the effect of job insecurity on employees’ coping behaviour. In their two stage model they propose that perceptions of job insecurity could lead to lower affective organisational commitment and higher job-related stress which in turn could lead to negative coping behaviour. They then include emotional intelligence - a moderator linking the above-mentioned constructs. The main objective of this study was to investigate whether this model will be applicable to a national soft drink company in South Africa. A literature review was conducted to determine how emotional intelligence, job insecurity, affective organisational commitment, job-related stress, and coping behaviour were conceptualised. The relationships between these constructs and the role of emotional intelligence as moderator were also determined. This was done to investigate the model of Jordan et al. (2002). A cross-sectional research design was used for the purpose of this study. Managers of a national soft drink company were the participants. The Emotional Intelligence Scale (EIS) (Schutte et al., 1998); the Job Insecurity Questionnaire (JIQ) of De Witte, (2000); the Organisational Commitment Questionnaire of Meyer and Allen (1997); the COPE Questionnaire of Carver, Scheier and Weintraub (1989); and the Experience of Work and Life Circumstances Questionnaire (WLQ) of Van Zyl and Van der Walt (1991), including the biographical questionnaire, were utilised. The SPSS programme was used to perform the statistical analysis and descriptive statistics were used to analyse the data. Cronbach alpha coefficients were used to assess the reliability; and explorative factor analysis was conducted to assess the validity of the measuring instruments. Pearson’s product-moment coefficients were used to specify the relationships between the variables. Multiple regression analysis was used to determine the moderating influence of emotional intelligence. It was determined that, in this specific research group, job insecurity has a negative correlation with affective organisational commitment, but job insecurity has a positive correlation with job-related tension. A positive correlation was found between job-related tension and negative coping behaviours, such as denial, behavioural disengagement, mental disengagement or alcohol-drug disengagement. A negative correlation was found between job-related tension and affective organisational commitment. Furthermore, job insecurity was found to have a negative correlation with affective organisational commitment. Lastly, problem-focused coping has a positive relationship with emotion-focused coping. All of these correlations were statistically and practically significant. Multiple regression analyses were performed to determine the moderating effect of emotional intelligence as mentioned above. The results indicated emotional intelligence does not moderate any of the relationships between the constructs. Conclusions and limitations of this research and recommendations for the national soft drink organisation as well as for future research were made. MA, Industrial Psychology, North-West University, Vaal Triangle Campus, 2011

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Paleari, Marco. "Informatique Affective : Affichage, Reconnaissance, et Synthèse par Ordinateur des Émotions." Phd thesis, Télécom ParisTech, 2009. http://pastel.archives-ouvertes.fr/pastel-00005615.

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L'informatique Affective regarde la computation que se rapporte, surgit de, ou influence délibérément les émotions et trouve son domaine d'application naturel dans les interactions homme-machine a haut niveau d'abstraction. L'informatique affective peut être divisée en trois sujets principaux, à savoir: l'affichage,l'identification, et la synthèse. La construction d'une machine intelligente capable dinteragir'de façon naturelle avec son utilisateur passe forcement par ce trois phases. Dans cette thèse nous proposions une architecture basée principalement sur le modèle dite "Multimodal Affective User Interface" de Lisetti et la théorie psychologique des émotions nommé "Component Process Theory" de Scherer. Dans nos travaux nous avons donc recherché des techniques pour l'extraction automatique et en temps-réel des émotions par moyen des expressions faciales et de la prosodie vocale. Nous avons aussi traité les problématiques inhérentes la génération d'expressions sur de différentes plateformes, soit elles des agents virtuel ou robotique. Finalement, nous avons proposé et développé une architecture pour des agents intelligents capable de simuler le processus humaine d'évaluation des émotions comme décrit par Scherer.

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Nakayama, Nicole Jené. "An investigation of the impact of the Strong Kids curriculum on social-emotional knowledge and symptoms of elementary aged students in a self-contained special education setting /." Connect to title online (ProQuest), 2008. http://proquest.umi.com/pqdweb?did=1690950781&sid=1&Fmt=2&clientId=11238&RQT=309&VName=PQD.

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Jauniaux, Josiane. "L'interrelation entre l'empathie et la régulation émotionnelle : corrélats neuronaux et autonomiques." Doctoral thesis, Université Laval, 2020. http://hdl.handle.net/20.500.11794/66984.

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L’empathie et la régulation émotionnelle sont des processus vitaux au fonctionnement socioémotionnel sain. Le terme « empathie » réfère à la capacité de partager et comprendre les émotions d’autrui. La régulation émotionnelle se définit quant à elle par la capacité de moduler ses propres états émotionnels. En neurosciences, bien qu’il ait été proposé d’un point de vue théorique que l’empathie et la régulation émotionnelle soient intimement liées, ces deux entités sont actuellement étudiés en vase clos. Par ailleurs, la littérature scientifique regorge d’études en neuro-imagerie fonctionnelle examinant les corrélats cérébraux de l’empathie pour la douleur. Or, l’empathie est une fonction sociale polyvalente se déployant dans une vaste étendue d’interactions socioémotionnelles. Tout comme la régulation émotionnelle, la valence émotionnelle demeure rarement examinée dans le contexte de l’empathie et l’interrelation entre la régulation et la valence émotionnelle est inexplorée. La thèse a pour objectif d’examiner la relation entre l’empathie, la régulation émotionnelle et la valence émotionnelle, de même que les corrélats neurophysiologiques sous-jacents. Un premier article de revue narrative décrit les régions cérébrales clés impliquées dans l’empathie pour la douleur, qui incluent notamment le cortex cingulaire antérieur médian et l’insula antérieure. Cet article a aussi permis de dégager de la littérature des facteurs régulant la réponse cérébrale associés à l’empathie pour la douleur. Ceux-ci incluent différents stimuli visuels, dont des membres du corps en douleur ou des expressions faciales de douleur. Ces derniers influencent les processus perceptuels de régulation. Les instructions offertes aux participants constituent un autre facteur pouvant influencer la réponse cérébrale, notamment leur orientation (vers soi ou vers autrui). Celles-ci influencent les processus cognitifs de régulation. Dans le deuxième article, une méta-analyse quantitative des études en neuroimagerie fonctionnelle sur l’observation de la douleur est présentée. Celle-ci révèle un réseau central d’activation associé à l’empathie pour la douleur (cortex cingulaire antérieur médian, insula antérieure). Ce réseau s’activerait indépendamment des processus perceptuels et cognitifs de régulation. On démontre également que différents processus perceptuels sont associés spécifiquement à des activations dans les régions sensorimotrices (observation de membres du corps en douleur) et à des activations dans une région impliquée dans l’imitation d’action et la communication non-verbale (observation d’expressions faciales de douleur). Différents processus cognitifs de régulation sont associés spécifiquement à l’activation d’une région impliquée dans l’intéroception et la conscience de soi (perspective orientée vers soi) ou à l’activation de régions impliquées dans le réseau attentionnel (perspective orientée vers le stimulus). Dans le but d’examiner expérimentalement l’effet de la régulation émotionnelle sur l’empathie, une étude psychophysiologique a été ensuite menée. Un nouveau paradigme expérimental a été développé. Lors du visionnement de vidéos illustrant des scènes d’interactions socioémotionnelles, des participants étaient invités à réguler leurs émotions par la réévaluation cognitive. L’empathie situationnelle, l’activité électrodermale et cardiaque ont été mesurées. Les résultats démontrent que la régulation émotionnelle module l’empathie situationnelle et qu’elle est associée à une augmentation de la variabilité du rythme cardiaque. Ces résultats suggèrent que la régulation émotionnelle est sous-tendue par l’implication du système parasympathique dans l’empathie. Aussi, l’observation d’émotions positives en comparaison à des émotions négatives est associée à moins d’empathie situationnelle en parallèle à une légère augmentation de la variabilité du rythme cardiaque. Ces résultats suggèrent une plus grande implication des processus de régulation lors de iii l’empathie pour les émotions positives. En somme, cette étude démontre que les processus de régulation dans l’empathie seraient sous-tendus préférentiellement par le système parasympathique. Elle soulève par ailleurs que la valence émotionnelle est un paramètre important à considérer dans l’étude de l’empathie, puisqu’elle influence différemment les réponses subjectives et autonomiques associées. En plus d’offrir une vision plus intégrative de la relation entre l’empathie et la régulation émotionnelle elle soutient empiriquement leur lien. Les données de celle-ci démontrent que l’empathie est un phénomène dynamique pouvant être influencé par les processus perceptuels et cognitifs de régulation, lesquels influenceront différemment la réponse cérébrale et autonomique. En définitive, cette thèse contribuera à développer des modèles plus nuancés reliant l’empathie et la régulation émotionnelle ainsi que les bases neurophysiologiques qui y sont associées. Empathy and emotion regulation are vital processes for healthy socioemotional functioning. Empathy refers to the ability to share and understand others’ emotions while emotion regulation is defined as by the ability to modulate one owns’ emotional state. It is commonly described, from a theoretical perspective, that empathy and emotion regulation are intimately related. However, empathy and emotion regulation have been largely studied separately. In addition, the vast majority of the neuroscience literature on empathy is based on functional neuroimaging studies of vicarious pain. Empathy is although a versatile social function deployed in a large range of socio-emotional interactions. Like emotion regulation, emotional valence is rarely examined in the context of empathy and the relation between emotion regulation and emotional valence during empathy is currently unexplored. The objective of this thesis was to examine the relation between empathy, emotion regulation, and emotional valence, as well as their underlying neurophysiological correlates. In a narrative review article, the key brain regions involved in pain empathy are described, which includes the median anterior cingulate cortex and the anterior insula. In addition, factors that regulate the brain response during pain empathy were pointed out. These included different visual stimuli that regulate differently perceptual processes, such as body parts being submitted to noxious pain or facial expressions of pain. Instructions offered to the participants is also a factor that cognitively regulate the brain response during pain empathy, such as instructions oriented towards oneself or the other. In a second article, a quantitative meta-analysis on functional neuroimaging studies of pain empathy is presented. This study revealed a core network of activation related to pain empathy (median anterior cingulate cortex, anterior insula), which activates independently from perceptual and cognitive processes of regulation. This study also demonstrated that different perceptual processes distinctively activate sensorimotor regions (observation of limbs in painful situations) and a region involved in action imitation and non-verbal communication (facial expressions of pain). Furthermore, different cognitive regulatory processes distinctively activate a region involved in interoception and selfawareness (self-oriented perspective) and regions involved in the attentional network (perspective oriented towards the stimulus). In order to examine experimentally the effect of emotion regulation on empathy, a psycho-physiological study was then conducted. A new paradigm was developed. During the viewing of short videos depicting socioemotional interactions, participants were invited to regulate their emotions using cognitive reappraisal. Situational empathy was measured. Electrodermal and cardiac activity was gathered. Results showed that emotion regulation can increase or decrease situational empathy and is associated to an increase of the heart rate variability. These results suggest that emotion regulation is underpinned by the parasympathetic system during empathy. Moreover, viewing positive emotions, compared to negative emotions, was associated with less situational empathy and a slight increase of the heart rate variability. These results suggest a greater need in emotion regulation processes during empathy for positive emotions. In sum, this study demonstrates that emotion regulation process during empathy is preferentially underlied by the parasympathetic system. This work also highlights that emotional valence is an important parameter to consider when studying empathy, as it influences the underying subjective and autonomic responses. In addition to offer a more integrative vision of the relation between empathy and emotion regulation and supports their link empirically. The findings demonstrate that empathy is a dynamic phenomenon that can be regulated by v perceptual and cognitive processes. Ultimately, this thesis will contribute more nuanced models of empathy that will consider emotion regulation processes and the underlying neurophysiological basis.

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Wallenberg-Lerner, Helena H. "Affective Components Perceived to be Important in Today's Global Society from a Cross-Cultural Perspective." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4604.

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Global competencies, with differences in terminology by various researchers, had been frequently investigated, primarily from an American-biased perspective. Little or no defining research existed that identified requisite, universally agreed upon global competencies, or identified what affective components were perceived to be important cross culturally. This research study answered the following questions: 1. What affective components are perceived to be important from a cross-cultural perspective? 2. Are there differences in these perceptions of affective components from a cross-cultural perspective? The purpose of the study was to explore the extent to which individuals in different GeoCultural regions view and identify affective components perceived to be important in today's global society. Affective components relate to emotions, values, and beliefs. The research entailed the development of two instruments for placing individuals within a primary region (the background information form) and for identifying and rating affective components perceived to be important in today's global society from a cross-cultural perspective (the affective component questionnaire). The study used four expert panels to perform content validation. Both instruments were developed by global experts from eight GeoCultural regions. As a result of the panel process, nine affective components were identified. Two instruments were administered, through intermediaries, to individuals in all the GeoCultural regions and subcategories. Of the responses, 423 were usable. Affective competence appears to be a complex construct that involves more than one component. Based on this study, there are at least nine different affective components perceived to be important in order to be a culturally competent individual in today's global society. All of the nine affective components were perceived to be important in all GeoCultural regions and subcategories. Repeated measures ANOVA and Dunn's pairwise comparisons tests were used to assess differences between the affective components and the GeoCultural regions/subcategories. There were differences found in three of the affective components indicating that there may be some differences between GeoCultural regions and subcategories. The Caribbean respondents did not value three affective components as highly as some of the other GeoCultural regions. Repeated measures ANOVAs were also used to determine if there were any significant differences between the subcategories of Asia and the subcategories of Oceania. Since no significant differences existed in either GeoCultural region, it lends support to the notion that the subcategories are not needed for research dealing with affective components.

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Acedo, Sánchez Albert. "Place and City: merging our affective and social spatial dimension in the (smart) platial city." Doctoral thesis, Universitat Jaume I, 2018. http://hdl.handle.net/10803/666678.

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A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Geographic Information Systems We are living in (smart) cities that hold social-oriented promises but currently, most of these cities disregard the humans. Although some alternatives are appearing such as smart citizen-centric approaches, there is a lack of how promoting truly appealing perspectives toward a common good or better social synergies. Thereby, smart cities, with their associated Information and Communication Technology tools, are offering new possibilities, but, unfortunately, citizens are not fully exploiting the opportunities to empower themselves because, among other reasons, they are not aware of their common spatialities. Currently, we are not able to operationalize the spatial humanurban interactions regarding citizens’ cognitions, feelings and behaviors towards city places (i.e., sense of place) and meaningful geographic human relationships (i.e., social capital). Both concepts are significant as resources for an alternative landscape based on human perception and organization of social interactions fostered through the geographic place(s). In this research, we highlight the need to understand and operationalize social concepts spatial dimension for a better understanding of a smart citizen-centric approach which is mainly dependent on our capability to understand platial urban dynamics. We conceptualized a (spatial) conceptual framework for sense of place and social capital at the individual level to study their spatial relationship in the urban context. We developed a web map-based survey based on the literature to spatialize, characterize and measure sense of place, social capital and civic engagement. Using the spatial data collected, we validated our framework and demonstrated the importance to encompass the spatial dimension of social concepts (i.e., sense of place and social capital) as pivotal aspect (1) to understand the platial urban dynamics; (2) to provide useful social-spatial data to city processes (e.g. civic engagement); and (3) to reveal the potential to include them in social theory and structural equation models. Furthermore, we highlighted the crucial role of Geographic Information Science (GISc) techniques to gather the spatial dimension of those social concepts. Although in this research we focus on the spatial relationship between sense of place and social capital on civic engagement, the possibilities to relate our framework and methodology to other city based-notions can bring to light new platial urban dynamics. This research wants to open up the agenda for further research into exploratory place-based geography studies and, simultaneously, sets up a common social ground to build other socially-oriented conceptualizations or applications on top of it.

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Botma, Nadia. "Emotion experience, emotional intelligence and well-being in South Africa / Nadia Botma." Thesis, North-West University, 2009. http://hdl.handle.net/10394/4340.

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Willis, Timothy John. "Affective Dispositions and Cognitive Skills in Critical Thinking: Implications for Measurement, Training, and Team Performance." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0001335.

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Tran, Oanh Thi Kim. "Promoting social and emotional learning in schools : an investigation of massed versus distributed practice schedules and social validity of the Strong Kids curriculum in late elementary aged students /." view abstract or download file of text, 2007. http://proquest.umi.com/pqdweb?did=1404348951&sid=1&Fmt=2&clientId=11238&RQT=309&VName=PQD.

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Thesis (Ph. D.)--University of Oregon, 2007. Typescript. Includes vita and abstract. Includes bibliographical references (leaves 164-171). Also available for download via the World Wide Web; free to University of Oregon users.

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Williams, Christopher J. "Reassessing the Role of Anxiety in Information Seeking." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9012/.

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Previous research of the theory of Affective Intelligence holds that anxiety in individuals causes learning behavior. If people are anxious they will actively seek new information. This new information gathered while anxious will cause each individual person to cease acting habitually and begin acting in a manner in line with rational choice models. This thesis addresses three hypotheses; (1) that people who feel anxiety engage in greater information seeking behavior and (2) when people feel anxious they will use information sources that are readily available and efficient to use and (3) anxious individuals will turnout to vote more often than those who are not anxious. I began with the replication of the original research methods of Marcus and MacKuen (1993) and Marcus, Neuman and MacKuen (2000). I then tested hypothesis 1 using new measurements of anxiety in order to address the concerns originally posited by Ladd and Lenz (2008) and Valentino et al. (2008). My final test of hypothesis 1 used revised measurements of anxiety and information derived from 2000-2002 NES Panel data, much in the same manner as Marcus, Neuman and MacKuen (2000). I then tested hypothesis 2 using the same 2000-2002 NES Panel data and an information source change variable. I tested my final hypothesis using pooled NES data from 1984, 1988 and 2000. My findings suggest that as Affective Intelligence predicts, people who feel anxious do tend to seek information. Moreover, when anxious, people will use readily available and efficient information sources. My final finding suggests that although people tend to seek information when anxious this does not necessarily translate into greater participation. Finally, I conclude that the theory of Affective Intelligence is generally correct, but, further research using methods that can better demonstrate the causal direction needs to be undertaken to fully validate Affective Intelligence and more testing of the effect of anxiety on political participation is necessary.

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Lhommet, Margaux. "Replicants : humains virtuels cognitifs, émotionnels et sociaux : de l'empathie cognitive à l'empathie affective." Compiègne, 2012. http://www.theses.fr/2012COMP2031.

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Les humains virtuels sont de plus en plus présents dans les environnements virtuels. Les travaux en informatique affective visent à doter ces personnages autonomes de capacités émotionnelles. Nous souhaitons modéliser des humains virtuels dont le comportement est cohérent, adaptable et explicable. Nous définissons la cohérence d’un humain virtuel comme l’adéquation entre sa situation, son état mental et son comportement. L’humain virtuel doit pouvoir s’adapter à de nouvelles connaissances et les intégrer dans son raisonnement. Enfin, pour que l’apprenant comprenne l’impact de ses actions, le comportement de l’humain virtuel doit être explicable. Nous utilisons des modèles issus de la psychologie qui explicitent les dimensions humaines et leur dynamique. Notre humain virtuel dispose ainsi d’une personnalité, d’émotions et sont liés par des relations sociales. Afin de garantir l’adaptabilité de l’humain virtuel, nous définissons un ensemble de processus indépendants du domaine permettant de gérer la dynamique de ces dimensions humaines et leur impact sur le comportement au sein d’une architecture cognitive. Un langage de description des entités, des actions et des activités permet de représenter les connaissances spécifiques du domaine d’application. Ce formalisme est suffisamment simple pour être renseigné par des individus sans connaissances en programmation et suffisamment expressif et robuste pour être interprété directement par les humains virtuels. La prise en compte des interactions affectives entre les humains virtuels pose un problème de passage à l’échelle. Nous proposons un modèle d’empathie affective qui prend en compte les dimensions humaines et permet de résoudre ce problème. Pour produire de tels humains virtuels, nous proposons REPLICANTS, un moteur d’intelligence artificielle décisionnelle basé sur des modèles de connaissances. Des cas d’usage montrent comment l’humain virtuel combine ses processus cognitifs de haut niveau à des connaissances du domaine afin de se comporter de manière cohérente et explicable Virtual humans are more and more common in virtual environments such as simulations, training softwares, serious-games or video games. Affective computing aims at giving those artificial characters emotional capabilities. We aim at generating virtual humans whose behavior is coherent, adaptative and explainable. We define coherence as the adequacy between the situation, the virtual human’s mental state and her behavior. Adaptability is the capacity to adapt to new knowledge an reason about it. This knowledge may be specified by people without computer programming skills and therefore be incomplete. Finally, the virtual human’s behavior must be explainable in order for the learner to understand the impact of her actions. Using models from psychology that explicitly address the components and their dynamics, our virtual human model is given a personality, an emotional state and is linked to others via social relationships. In order to ensure the adaptability of our virtual human, she is given a set of domain-independent processes to take care of the dynamics of those human components and their impact on behavior. Those processes are integrated on a cognitive architecture. Domain-dependent knowledge such as entities, actions and activities are designed using a description language inspired by ergonomy methodology. This formalism is simple enough to be used without any computer programming skill, and expressive enough to be directly used by the high-level processes of our virtual human. An affective empathy model based on individual characteristics is proposed to model affective relations between virtual humans. To generate such virtual humans, we propose REPLICANTS, a decisional artificial intelligence engine. Some examples are presented and show how the virtual human can combine her generic set of cognitive rules with domain specific knowledge in order to adapt to her environment as well as behaving rationally in pursuing goals

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Bonner, Shawna N. "Social cognition and psychosocial functioning in temporal lobe epilepsy." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1382373117.

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Cholet, Stéphane. "Evaluation automatique des états émotionnels et dépressifs : vers un système de prévention des risques psychosociaux." Thesis, Antilles, 2019. http://www.theses.fr/2019ANTI0388/document.

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Les risques psychosociaux sont un enjeu de santé publique majeur, en particulier à cause des troubles qu'ils peuvent engendrer : stress, changements d'humeurs, burn-out, etc. Bien que le diagnostic de ces troubles doive être réalisé par un professionel, l'Affective Computing peut apporter une contribution en améliorant la compréhension des phénomènes. L'Affective Computing (ou Informatique Affective) est un domaine pluridisciplinaire, faisant intervenir des concepts d'Intelligence Artificielle, de psychologie et de psychiatrie, notamment. Dans ce travail de recherche, on s'intéresse à deux éléments pouvant faire l'objet de troubles : l'état émotionnel et l'état dépressif des individus.Le concept d'émotion couvre un très large champ de définitions et de modélisations, pour la plupart issues de travaux en psychiatrie ou en psychologie. C'est le cas, par exemple, du circumplex de Russell, qui définit une émotion comme étant la combinaison de deux dimensions affectives, nommées valence et arousal. La valence dénote le caractère triste ou joyeux d'un individu, alors que l'arousal qualifie son caractère passif ou actif. L'évaluation automatique des états émotionnels a suscité, dans la dernière décénie, un regain d'intérêt notable. Des méthodes issues de l'Intelligence Artificielle permettent d'atteindre des performances intéressantes, à partir de données capturées de manière non-invasive, comme des vidéos. Cependant, il demeure un aspect peu étudié : celui des intensités émotionnelles, et de la possibilité de les reconnaître. Dans cette thèse, nous avons exploré cet aspect au moyen de méthodes de visualisation et de classification pour montrer que l'usage de classes d'intensités émotionnelles, plutôt que de valeurs continues, bénéficie à la fois à la reconnaissance automatique et à l'interprétation des états.Le concept de dépression connaît un cadre plus strict, dans la mesure où c'est une maladie reconnue en tant que telle. Elle atteint les individus sans distinction d'âge, de genre ou de métier, mais varie en intensité ou en nature des symptômes. Pour cette raison, son étude tant au niveau de la détection que du suivi, présente un intérêt majeur pour la prévention des risques psychosociaux.Toutefois, son diagnostic est rendu difficile par le caractère parfois anodin des symptômes et par la démarche souvent délicate de consulter un spécialiste. L'échelle de Beck et le score associé permettent, au moyen d'un questionnaire, d'évaluer la sévérité de l'état dépressif d'un individu. Le système que nous avons développé est capable de reconnaître automatiquement le score dépressif d'un individu à partir de vidéos. Il comprend, d'une part, un descripteur visuel spatio-temporel bas niveau qui quantifie les micro et les macro-mouvements faciaux et, d'autre part, des méthodes neuronales issues des sciences cognitives. Sa rapidité autorise des applications de reconnaissance des états dépressifs en temps réel, et ses performances sont intéressantes au regard de l'état de l'art. La fusion des modalités visuelles et auditives a également fait l'objet d'une étude, qui montre que l'utilisation de ces deux canaux sensoriels bénéficie à la reconnaissance des états dépressifs.Au-delà des performances et de son originalité, l'un des points forts de ce travail de thèse est l'interprétabilité des méthodes. En effet, dans un contexte pluridisciplinaire tel que celui posé par l'Affective Computing, l'amélioration des connaissances et la compréhension des phénomènes étudiés sont des aspects majeurs que les méthodes informatiques sous forme de "boîte noire" ont souvent du mal à appréhender Psychosocial risks are a major public health issue, because of the disorders they can trigger : stress, mood swings, burn-outs, etc. Although propoer diagnosis can only be made by a healthcare professionnel, Affective Computing can make a contribution by improving the understanding of the phenomena. Affective Computing is a multidisciplinary field involving concepts of Artificial Intelligence, psychology and psychiatry, among others. In this research, we are interested in two elements that can be subject to disorders: the emotional state and the depressive state of individuals.The concept of emotion covers a wide range of definitions and models, most of which are based on work in psychiatry or psychology. A famous example is Russell's circumplex, which defines an emotion as the combination of two emotional dimensions, called valence and arousal. Valence denotes an individual's sad or joyful character, while arousal denotes his passive or active character. The automatic evaluation of emotional states has generated a significant revival of interest in the last decade. Methods from Artificial Intelligence allow to achieve interesting performances, from data captured in a non-invasive manner, such as videos. However, there is one aspect that has not been studied much: that of emotional intensities and the possibility of recognizing them. In this thesis, we have explored this aspect using visualization and classification methods to show that the use of emotional intensity classes, rather than continuous values, benefits both automatic recognition and state interpretation.The concept of depression is more strict, as it is a recognized disease as such. It affects individuals regardless of age, gender or occupation, but varies in intensity or nature of symptoms. For this reason, its study, both at the level of detection and monitoring, is of major interest for the prevention of psychosocial risks.However, his diagnosis is made difficult by the sometimes innocuous nature of the symptoms and by the often delicate process of consulting a specialist. The Beck's scale and the associated score allow, by means of a questionnaire, to evaluate the severity of an individual's state of depression. The system we have developed is able to automatically recognize an individual's depressive score from videos. It includes, on the one hand, a low-level visual spatio-temporal descriptor that quantifies micro and macro facial movements and, on the other hand, neural methods from the cognitive sciences. Its speed allows applications for real-time recognition of depressive states, and its performance is interesting with regard to the state of the art. The fusion of visual and auditory modalities has also been studied, showing that the use of these two sensory channels benefits the recognition of depressive states.Beyond performance and originality, one of the strong points of this thesis is the interpretability of the methods. Indeed, in a multidisciplinary context such as that of Affective Computing, improving knowledge and understanding of the studied phenomena is a key point that usual computer methods implemeted as "black boxes" can't deal with

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Perozo, Niriaska. "Modélisation multi-agents pour systèmes émergents et auto-organisés." Toulouse 3, 2011. http://thesesups.ups-tlse.fr/1531/.

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Dans ce travail, une architecture multi-agents pour systèmes émergents et auto-organisés (MASOES) est définie. Cette architecture permet la possibilité de modéliser une système émergent et auto-organisés à travers une société d'agents (homogène ou hétérogène), qui travaillent de manière décentralisée, avec différents types de comportement: réactive, imitative et cognitive. En outre, ils sont capables de modifier dynamiquement leur comportement en fonction de leur état émotionnel, de sorte que les agents peuvent s'adapter dynamiquement à leur environnement, en favorisant l'émergence de structures. Pour cela, un modèle à deux dimensions affectives avec des émotions positives et négatives est proposé. L'importance de ce modèle affectif, c'est qu'il y a pas des modèles émotionnels pour étudier et comprendre comment modéliser et simuler émergentes et auto-organisés des processus dans un environnement multi-agent et aussi, son utilité pour étudier certains aspects de l'interaction sociale multi-agent (influence des émotions dans les comportements individuels et collectifs des agents). Leer fonéticamente D'autre part, une méthodologie pour faire la modélisation avec MASOES est spécifiée, elle explique comment décrire les éléments, relations et mécanismes au niveau individuel et collectif de la société d'agents, qui favorisent l'analyse de phénomène auto-organisatif et émergent sans modéliser le système mathématiquement. Il est également proposé une méthode de vérification pour MASOES basée sur le paradigme de la sagesse des foules et de cartes cognitives floues (CCFs), pour testé les spécifications de design et les critères de vérification établis, tels que: la densité, la diversité, l'indépendance, l'émotivité, l'auto-organisation et émergence, entre autres. Il montre également l'applicabilité de MASOES par des études de cas diverses dans différents contextes comme : Wikipedia, développement de logiciel gratuit et comportement collectif des piétons par le modèle de forces sociales. Finalement, les deux modèles proposés dans MASOES: le modèle multi-agent initiale et le modèle avec CCFs basé sur ce modèle multi-agent initiale se complètent mutuellement. Cela signifie qu'il est possible de tester le modèle multi-agent à travers le méta-modèle basé sur las CCFs. En outre, il représente une nouvelle alternative pour étudier, tester, vérifier ou valider l'auto-organisation et émergence dans les systèmes complexes et de tester le modèle multi-agent, car il est difficile de faire des tests dans ces systèmes pour le niveau d'incertitude et de complexité qu'ils traitent In this work a multi-agent architecture for self-organizing and emergent systems (MASOES) is defined. This architecture allows the possibility of modeling a self-organizing and emergent system through a society of agents (homogenous or heterogeneous), who work in a decentralized way, with different types of behavior: reactive, imitative or cognitive. Also they are able to dynamically change their behavior according to their emotional state, so that the agents can adapt dynamically to their environment, favoring the emergence of structures. For it, a two-dimensional affective model with positive and negative emotions is proposed. The importance of this affective model is that there are not emotional models for studying and understanding how to model and simulate emergent and self-organizing processes in a multi-agent environment and also, its usefulness to study some aspects of social interaction multi-agent (e. G. The influence of emotions in individual and collective behavior of agents). On the other hand, a methodology for modeling with MASOES is specified, it explains how to describe the elements, relations and mechanisms at individual and collective level of the society of agents, that favor the analysis of the self-organizing and emergent phenomenon without modeling the system mathematically. It is also proposed a verification method for MASOES based on the paradigm of wisdom of crowds and fuzzy cognitive maps (FCMs), for testing the design specifications and verification criteria established such as: density, diversity, independence, emotiveness, self-organization and emergence, among others. It also shows the applicability of MASOES for modeling diverse case studies (in a diversity of contexts) such as: Wikipedia, Free Software Development and collective behavior of pedestrians through the Social Force Model. Finally, the two models proposed in MASOES: the initial multi-agent model and the model with FCMs based on that initial multi-agent model complement each other. This means that it is possible to test the multi-agent model through the meta-model based on FCMs. Besides, it represents a novel alternative to study, test, verify or validate self-organization and emergence in complex systems and test the multi-agent model, since it is difficult to make tests in these systems directly, given the level of uncertainty and complexity they manage

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Bandelli, Adam C. "Facilitating Communication and Effective Interpersonal Relationships at Work: A Theoretical Model of Socio-Affective Competence." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002500.

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Harlacher, Jason E. "Social and emotional learning as a universal level of support : evaluating the follow-up effect of Strong Kids on social and emotional outcomes /." Connect to title online (Scholars' Bank) Connect to title online (ProQuest), 2009. http://hdl.handle.net/1794/10225.

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Van, Zyl Lelanie. "Job insecurity : emotional- and behavioural consequences / L. van Zyl." Thesis, North-West University, 2009. http://hdl.handle.net/10394/3089.

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Current day organisations must revert to many measures to survive in the very competing business environment. One of these measures is to reduce the number of employees. This leads to perceptions of job insecurity, not only in the employees who are not made redundant but also in employees in so-called stable organisations who are aware of these measures being implemented in other organisations. Researchers found conflicting results of job insecurity regarding performance of employees experiencing job insecurity. On the one hand it was reported that job insecurity leads to higher job performance and on the other that it leads to lower job performance. To reconcile these conflicting findings Jordan, Ashkanasy and Hartel (2002) developed a model. In their two stage model in which they postulate that perceptions of job insecurity could lead to lower affective organisational commitment and higher job-related stress and this in turn could lead to negative coping behaviour (stage one). They then include emotional intelligence (EI) as moderator of all the links between the above mentioned constructs (stage two). They are of the opinion that employees with high EI will experience higher affective organisational commitment and lower job-related stress than employees with low EI when perceptions of job insecurity are experienced. They also postulate that employees with high EI will be less inclined to revert to negative coping behaviour. The main objective of this study was to investigate whether this model would be applicable to employees of private health care organisations in Gauteng. In the first article a literature review was conducted to determine how job insecurity, affective organisational commitment, job-related stress and coping were conceptualised as well as the relationships between these constructs. This was done to investigate the first stage of the model of Jordan et al. (2002). In the second article a literature review was conducted to determine how job insecurity, affective organisational commitment, job-related stress, coping and EI were conceptualised. The relationships between these constructs and the role of EI as moderator of these relationships were also determined. This was done to investigate the second stage of the model of Jordan et al. (2002). A non-experimental correlation research design was used. Employees of private health care organisations were the participants. The Job Insecurity Inventory, the Organisational Commitment Questionnaire, the Experience of Work Life and Circumstances Questionnaire, the Cope Questionnaire and the Emotional Intelligence Scale were used, as well as a biographical questionnaire. The SPPS program and partly STATISTIKA were used to perform the statistical analysis. Descriptive statistics were used to analyse the data. Cronbach alpha coefficients and factor analyses were used to assess the reliability and validity of the measuring instruments. Pearson product-moment correlation coefficients were used to specify the relationships between the variables. Multiple regression analysis was used to determine the moderating influence of emotional intelligence. It was determined that, in this specific research group, job insecurity has a negative correlation with affective organisational commitment. Job insecurity has a positive correlation with job-related stress levels. A positive correlation was found between job-related stress levels and certain negative coping behaviours, such as denial, behavioural disengagement and mental disengagement. A negative correlation was found between affective organisational commitment and negative coping behaviour, specifically the use of drugs or alcohol. All of these correlations were statistically and practically significant. It was found that job insecurity as independent variable explains 12.1% of the total variance in affective organisational commitment. It was also found that job insecurity as independent variable explains 21.1 % of the total variance in the job -related stress levels. These findings indicated that the first stage of the model of Jordan et al. (2002) could be supported. Multiple regression analyses were performed to determine the moderating effect of EI as discussed above. The results indicated that EI had only a slight but significant moderating effect on the job insecurity -affective organisational commitment relationship and no effect on the job insecurity - job-related stress relationship. The results also indicate that EI moderates the strength of the relationship between affective organisational commitment and coping behaviour to such an extent that affective organisational commitment's predictive value is reduced to closely insignificant whilst EI emerges as the primary predictor of coping behaviour (both positive and negative). This may imply that emotionally intelligent employees will tend to use more problem-focused coping behaviour irrespective of the affective organisational commitment that they experience. Although to a lesser extent in this study, it was found that emotionally intelligent employees also make use of emotion-focused coping behaviour appropriate for managing affective states associated with experienced stress. Concerning avoidant coping strategies EI significantly negatively moderates alcohol-drug disengagement as a coping strategy, meaning employees with high EI will tend not to revert to the use of drugs or alcohol as coping strategy. It was concluded that EI does not buffer employees against the emotional consequences of job insecurity in this research group, as proposed by the model of Jordan et al. (2002), but rather enables them to cope with these emotional effects using problem-focused- and emotion- focused coping strategies, but not avoidant strategies. The latter finding is in line with the proposed model of Jordan et al.(2002). Conclusions, the limitations of this research and recommendations for private health care organisations and for future research were made. Thesis (M.A. (Industrial Psychology))--North-West University, Vaal Triangle Campus, 2009.

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Sharma, Astha. "Emotion Recognition Using Deep Convolutional Neural Network with Large Scale Physiological Data." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7570.

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Classification of emotions plays a very important role in affective computing and has real-world applications in fields as diverse as entertainment, medical, defense, retail, and education. These applications include video games, virtual reality, pain recognition, lie detection, classification of Autistic Spectrum Disorder (ASD), analysis of stress levels, and determining attention levels. This vast range of applications motivated us to study automatic emotion recognition which can be done by using facial expression, speech, and physiological data. A person’s physiological signals such are heart rate, and blood pressure are deeply linked with their emotional states and can be used to identify a variety of emotions; however, they are less frequently explored for emotion recognition compared to audiovisual signals such as facial expression and voice. In this thesis, we investigate a multimodal approach to emotion recognition using physiological signals by showing how these signals can be combined and used to accurately identify a wide range of emotions such as happiness, sadness, and pain. We use the deep convolutional neural network for our experiments. We also detail comparisons between gender-specific models of emotion. Our investigation makes use of deep convolutional neural networks, which are the latest state of the art in supervised learning, on two publicly available databases, namely DEAP and BP4D+. We achieved an average emotion recognition accuracy of 98.89\% on BP4D+ and on DEAP it is 86.09\% for valence, 90.61\% for arousal, 90.48\% for liking and 90.95\% for dominance. We also compare our results to the current state of the art, showing the superior performance of our method.

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Turß, Michaela. "Emotional understanding." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://dx.doi.org/10.18452/16836.

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Im Rahmen des Leistungsansatzes von emotionaler Intelligenz sehen Mayer und Salovey (1997) Emotionsverstaendnis als Voraussetzung für Emotionsregulation. Es sollte nützlich sein zu wissen, wie man sich in bestimmten Situationen fühlen wird. Zur Messung werden unter anderem Vignetten eingesetzt, in denen Emotionen für hypothetische Situationen vorhergesagt werden. Im Gegensatz dazu postulieren Gilbert und Wilson (2003) charakteristische Fehler bei affektiven Vorhersagen, die motivational günstig sind. In der vorliegenden Arbeit wird die Akkuratheit emotionaler Vorhersagen im natürlichen Umfeld untersucht, um dessen adaptiven Wert zu beurteilen. Zunächst sollten Beamtenanwärter ihre Emotionen in einer bedeutenden Testsituation vorhersagen (N=143). Dann wurden studentische Arbeitsgruppen (180 Mitglieder in 43 Gruppen) gebeten, Gefühle zwischen den Mitgliedern zu prognostizieren (Zuneigung, Zufriedenheit mit der Zusammenarbeit, Freude und Ärger). Akkuratheit wurde als geringer Bias (euklidische Distanz) und hohe Korrespondenz (Profilkorrelation) definiert. Das Round Robin Design der zweiten Studie ermöglichte die Varianzzerlegung der Akkuratheit nach Cronbach (1955). In beiden Studien ist ein niedriger Bias adaptiv in Hinblick auf harte Kriterien, auch inkrementell über Intelligenz und Persönlichkeit hinaus. Bias hing teilweise mit Allgemeinwissen zusammen, aber nicht mit Intelligenz. Zusammenhänge zu emotionaler Intelligenz waren inkonsistent. Die Akkuratheit als Korrespondenz ist theoretisch interessant aber deutlich weniger reliabel. Auf Gruppenebene konnte die Korrespondenz Kriterien vorhersagen, aber es zeigte sich keine inkrementelle Validität. Zukünftige Forschung sollte sich auf spezifische Situationen und spezifische Emotionen konzentrieren sowie die Prozesse untersuchen, die emotionalen Vorhersagen zugrunde liegen. In the ability model of emotional intelligence by Mayer and Salovey (1997), emotional understanding is a prerequisite for emotion regulation. Knowing which emotions occur in which situations should be beneficial and adaptive. One of the subtests for emotional understanding asks for likely emotional reactions in hypothetical situations. In contrast, Gilbert and Wilson (2003) argue that characteristic biases in affective forecasting are adaptive. The current thesis aims to measure accuracy of emotional predictions in a natural setting and examines its adaptive value. In the anxiety study, public officials were asked to predict future emotions in an important test (N=143). The second study focused on freshman student work-groups (N=180 in 43 groups). Group members predicted interpersonal feelings for each other (affection, satisfaction with the collaboration, fun, and anger). In both studies, accuracy of emotional predictions is defined as low bias (i.e. Euclidean distance) and high correspondence (i.e. profile correlation). The round robin design in the work-group study also allows to decompose accuracy following Cronbach (1955). In both studies, a low bias was adaptive in terms of strong criteria, also incrementally over and above intelligence and personality alone. Accuracy was partly related to general knowledge but not to intelligence. Associations to emotional intelligence were inconsistent. Accuracy as correspondence is theoretically interesting but much less reliable. There is some evidence for its adaptive value on a group level but no indication of incremental validity. Future research should focus on specific situations and specific emotions. Also, processes underlying affective forecasts should be evaluated in detail.

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Roa, Seïler Néna. "Towards an emotionally intelligent interaction strategy for multimodal embodied conversational agents acting as companions." Thesis, Edinburgh Napier University, 2015. http://researchrepository.napier.ac.uk/Output/462318.

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Existing Human Computer Interaction (HCI) strategies are seriously limited by current technologies. These are neither sensitive nor accurate enough to respond to users' emotional states, the fundamental basis for effective communication in real time. This offered the challenge of investigating factors that would impact on the designing of effective and more emotionally intelligent interaction strategies for Companions. These were applied to a conceptual tool, the Affective Channel (AC), to endow Companions with emotional capabilities. This was implemented in the Wizard of Oz (WoZ) platform to evaluate Companions in real time. The WoZ is an experimental setup where existing immature technologies and a human operator combine to simulate Companion interaction with end users. In these aspects of my work is my original contribution to the HCI knowledge base. Experiments, focus groups and face to face interviews were carried out to ascertain users' perception and expectations of virtual agents. ‘Descriptors' thus identified formed the bases for the designing of user friendly Companions. Verbal and facial expressions data and other affective elements of effective human-companion interactionwere collected for use in the AC and the WoZ as stated above. Companion evaluations yielded the subsidiary contribution that Companions are perceived as empathetic, useful and trustworthy entities. Further, that they arouse positive emotions in children and also that they promote their learning improvement. These findings were the result of two experiments, one within subjects and one between subjects, conducted with thirty grade four pupils in a rural school in the poor Oaxaca region of Mexico.

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Delaborde, Agnès. "Modélisation du profil émotionnel de l’utilisateur dans les interactions parlées Humain-Machine." Thesis, Paris 11, 2013. http://www.theses.fr/2013PA112225/document.

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Les travaux de recherche de la thèse portent sur l'étude et la formalisation des interactions émotionnelles Humain-Machine. Au delà d’une détection d'informations paralinguistiques (émotions, disfluences,...) ponctuelles, il s'agit de fournir au système un profil interactionnel et émotionnel de l'utilisateur dynamique, enrichi pendant l’interaction. Ce profil permet d’adapter les stratégies de réponses de la machine au locuteur, et il peut également servir pour mieux gérer des relations à long terme. Le profil est fondé sur une représentation multi-niveau du traitement des indices émotionnels et interactionnels extraits à partir de l'audio via les outils de détection des émotions du LIMSI. Ainsi, des indices bas niveau (variations de la F0, d'énergie, etc.), fournissent des informations sur le type d'émotion exprimée, la force de l'émotion, le degré de loquacité, etc. Ces éléments à moyen niveau sont exploités dans le système afin de déterminer, au fil des interactions, le profil émotionnel et interactionnel de l'utilisateur. Ce profil est composé de six dimensions : optimisme, extraversion, stabilité émotionnelle, confiance en soi, affinité et domination (basé sur le modèle de personnalité OCEAN et les théories de l’interpersonal circumplex). Le comportement social du système est adapté en fonction de ce profil, de l'état de la tâche en cours, et du comportement courant du robot. Les règles de création et de mise à jour du profil émotionnel et interactionnel, ainsi que de sélection automatique du comportement du robot, ont été implémentées en logique floue à l'aide du moteur de décision développé par un partenaire du projet ROMEO. L’implémentation du système a été réalisée sur le robot NAO. Afin d’étudier les différents éléments de la boucle d’interaction émotionnelle entre l’utilisateur et le système, nous avons participé à la conception de plusieurs systèmes : système en Magicien d’Oz pré-scripté, système semi-automatisé, et système d’interaction émotionnelle autonome. Ces systèmes ont permis de recueillir des données en contrôlant plusieurs paramètres d’élicitation des émotions au sein d’une interaction ; nous présentons les résultats de ces expérimentations, et des protocoles d’évaluation de l’Interaction Humain-Robot via l’utilisation de systèmes à différents degrés d’autonomie Analysing and formalising the emotional aspect of the Human-Machine Interaction is the key to a successful relation. Beyond and isolated paralinguistic detection (emotion, disfluences…), our aim consists in providing the system with a dynamic emotional and interactional profile of the user, which can evolve throughout the interaction. This profile allows for an adaptation of the machine’s response strategy, and can deal with long term relationships. A multi-level processing of the emotional and interactional cues extracted from speech (LIMSI emotion detection tools) leads to the constitution of the profile. Low level cues ( F0, energy, etc.), are then interpreted in terms of expressed emotion, strength, or talkativeness of the speaker. These mid-level cues are processed in the system so as to determine, over the interaction sessions, the emotional and interactional profile of the user. The profile is made up of six dimensions: optimism, extroversion, emotional stability, self-confidence, affinity and dominance (based on the OCEAN personality model and the interpersonal circumplex theories). The information derived from this profile could allow for a measurement of the engagement of the speaker. The social behaviour of the system is adapted according to the profile, and the current task state and robot behaviour. Fuzzy logic rules drive the constitution of the profile and the automatic selection of the robotic behaviour. These determinist rules are implemented on a decision engine designed by a partner in the project ROMEO. We implemented the system on the humanoid robot NAO. The overriding issue dealt with in this thesis is the viable interpretation of the paralinguistic cues extracted from speech into a relevant emotional representation of the user. We deem it noteworthy to point out that multimodal cues could reinforce the profile’s robustness. So as to analyse the different parts of the emotional interaction loop between the user and the system, we collaborated in the design of several systems with different autonomy degrees: a pre-scripted Wizard-of-Oz system, a semi-automated system, and a fully autonomous system. Using these systems allowed us to collect emotional data in robotic interaction contexts, by controlling several emotion elicitation parameters. This thesis presents the results of these data collections, and offers an evaluation protocol for Human-Robot Interaction through systems with various degrees of autonomy

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Antos, Dimitrios. "Deploying Affect-Inspired Mechanisms to Enhance Agent Decision-Making and Communication." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10107.

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Computer agents are required to make appropriate decisions quickly and efficiently. As the environments in which they act become increasingly complex, efficient decision-making becomes significantly more challenging. This thesis examines the positive ways in which human emotions influence people’s ability to make good decisions in complex, uncertain contexts, and develops computational analogues of these beneficial functions, demonstrating their usefulness in agent decision-making and communication. For decision-making by a single agent in large-scale environments with stochasticity and high uncertainty, the thesis presents GRUE (Goal Re-prioritization Using Emotion), a decision-making technique that deploys emotion-inspired computational operators to dynamically re-prioritize the agent’s goals. In two complex domains, GRUE is shown to result in improved agent performance over many existing techniques. Agents working in groups benefit from communicating and sharing information that would otherwise be unobservable. The thesis defines an affective signaling mechanism, inspired by the beneficial communicative functions of human emotion, that increases coordination. In two studies, agents using the mechanism are shown to make faster and more accurate inferences than agents that do not signal, resulting in improved performance. Moreover, affective signals confer performance increases equivalent to those achieved by broadcasting agents’ entire private state information. Emotions are also useful signals in agents’ interactions with people, influencing people’s perceptions of them. A computer-human negotiation study is presented, in which virtual agents expressed emotion. Agents whose emotion expressions matched their negotiation strategy were perceived as more trustworthy, and they were more likely to be selected for future interactions. In addition, to address similar limitations in strategic environments, this thesis uses the theory of reasoning patters in complex game-theoretic settings. An algorithm is presented that speeds up equilibrium computation in certain classes of games. For Bayesian games, with and without a common prior, the thesis also discusses a novel graphical formalism that allows agents’ possibly inconsistent beliefs to be succinctly represented, and for reasoning patterns to be deﬁned in such games. Finally, the thesis presents a technique for generating advice from a game’s reasoning patterns for human decision-makers, and demonstrates empirically that such advice helps people make better decisions in a complex game. Engineering and Applied Sciences

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Guedes, Ricardo Ferreira. "Princípio Biocêntrico: A contribuição do Pensamento de Rolando Toro para o campo da Educação." Universidade Federal da Paraíba, 2012. http://tede.biblioteca.ufpb.br:8080/handle/tede/4703.

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Made available in DSpace on 2015-05-07T15:08:46Z (GMT). No. of bitstreams: 1 Arquivototal.pdf: 392914 bytes, checksum: 38a5307c098e1fe9a672759d2abc509f (MD5) Previous issue date: 2012-08-24 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior This research bibliographic aims to determine whether the proposal prepared by the Principle Biocentric, Chilean Rolando Toro breaks new conceptual methodological, to the field of Education. The relationship between the biocentric paradigms Principle as an object of research does highlight some contributions to education among which we highlight: affection as a factor that promotes learning, emotional intelligence as a vital aspect to contemporary education, body language as knowledge based a sensitive logic, the historicity of the body and ethical conduct. We take the theoretical creator of this theme Rolando Toro, Elisa Gonsalves, Fritjof Capra, David Bohm, and Nobert Elias, Humberto Maturana and Francisco Varela and others. The theoretical construction on the sensitive, intuitive and what is felt, lived and experienced in the here and now, through stimulation pro-life, provides elements for building a basic epistemological arguments that articulates the understanding of the human body in its relationship with the environment , culture and society in which they live, as well as the phenomenon of cognition as a text body, advocating a design for human development in multiple dimensions: cognitive, social, cultural, experiential, emotional, spiritual, ethical and affective. Esta pesquisa, de natureza bibliográfica, tem como objetivo verificar se a proposta do Princípio Biocêntrico elaborado pelo chileno Rolando Toro traz inovações conceituais, metodológicas para o campo da Educação. A relação do paradigma do Princípio Biocêntrico como objeto da pesquisa faz ressaltar algumas contribuições para a educação dentre as quais destacamos: a afetividade como fator promotor da aprendizagem; a inteligência afetiva como aspecto imprescindível para a educação contemporânea; a linguagem do corpo como um conhecimento pautado numa lógica sensível; a historicidade do corpo e as condutas éticas. Tomamos como referencial teórico o criador dessa temática Rolando Toro, Elisa Gonsalves, Fritjof Capra, David Bohm, Nobert Elias, Humberto Maturana e Francisco Varela dentre outros. A construção teórica sobre o sensível, intuitivo e o que é sentido, vivenciado e experienciado no aqui e agora, mediante estímulos pró-vida, fornece elementos para a construção de uma base epistemológica que articule argumentos da compreensão do corpo humano na sua relação com o ambiente, a cultura e sociedade em que vive, bem como o fenômeno da cognição como um texto corporal, defendendo uma concepção para o desenvolvimento humano nas múltiplas dimensões: cognitiva; social; cultural; vivencial; emocional; espiritual; ético e afetivo.

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Gal, Viviane. "Vers une nouvelle Interaction Homme Environnement dans les jeux vidéo et pervasifs : rétroaction biologique et états émotionnels : apprentissage profond non supervisé au service de l'affectique." Electronic Thesis or Diss., Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1269.

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Vivre des moments exceptionnels, connaître des sensations fortes, du bien-être, nous épanouir, font souvent partie de nos rêves ou aspirations. Nous choisissons des moyens divers pour y arriver comme le jeu. Que le joueur recherche l’originalité, les défis, la découverte, une histoire, ou d’autres buts, ce sont des états émotionnels qui sont l’objet de sa quête. Il attend que le jeu lui procure du plaisir, des sensations. Comment les lui apporter ? Mettre au point une nouvelle interaction humain environnement, dans les jeux vidéo ou pervasifs ou autres applications, prenant en compte et s’adaptant aux émotions de chacun, sans être gêné par les interfaces, biocapteurs de contact par exemple, est notre objectif. Cela soulève deux questions : - Peut-on découvrir des états émotionnels à partir de mesures physiologiques issues de biocapteurs de contact ? - Si oui, ces capteurs peuvent-ils être remplacés par des dispositifs distants, donc non invasifs, et produire les mêmes résultats ?Les modèles mis au point proposent des solutions à base de méthodes mathématiques d’apprentissage non supervisées. Nous présentons aussi des moyens de mesures à distance et expliquons les futurs travaux dans le domaine que nous baptisons affectique Living exceptional moments, experiencing thrills, well-being, blooming, are often part of our dreams or aspirations. We choose various ways to get there like games. Whether the player is looking for originality, challenges, discovery, a story, or other goals, emotional states are the purpose of his quest. He remains until the game gives him pleasure, sensations. How bring them there? We are developing a new human environment interaction that takes into account and adapts to emotions. We address video or pervasive games or other applications. Through this goal, players should not be bothered by interfaces, or biosensors invasivness. This work raises two questions:- Can we discover emotional states based on physiological measurements from contact biosensors?- If so, can these sensors be replaced by remote, non-invasive devices and produce the same results?The models we have developed propose solutions based on unsupervised machine learning methods. We also present remote measurements technics and explain our future works in a new field we call affectics

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Hawkins, Jennifer Anne. "A phenomenological exploration of feelings, thinking and learning : a practitioner action research investigation." Thesis, Manchester Metropolitan University, 2010. http://e-space.mmu.ac.uk/129370/.

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In this thesis I researched as a student, teacher, educational mentor, researcher and evaluator investigating the effects and functions of feelings in learning. Feelings were defined as physical and mental sensations. Four data strands contributed to a new learning theory developed over eight years. Using collaborative methods I asked the guiding question; “What is the relationship between feelings, thinking and learning?” including an appropriate subsidiary question in each strand. My first aim was to find causes for disaffected student behaviour. While home-tutoring I asked the question; "Emotional blocks: what do they tell us about the learning process?" The resulting narratives revealed complex ecological factors of which I was previously unaware (Bronfenbrenner, 1979; Inquiry Strand 1: Tutoring 12 school refusers). These were analysed thematically. In the second strand I asked; “How do feelings affect my learning and teaching?” resolving learning problems and developing professional insight. (Inquiry Strand 2: The author's learning process). The third strand compared other teachers’ experiences asking; “How do feelings affect other teachers’ learning and teaching?” (Inquiry Strand 3: Mentoring 8 teachers as learners). The fourth strand explored the theory’s potential to inform professional practice (Inquiry Strand 4: Evaluating a primary school arts festival: observations of feeling based learning in action). Strands 2, 3 and 4 were also thematically analysed and included a framework of positive ‘emotionally linked’ learning behaviours as additional themes. The latter were derived from Claxton’s Effective Learning Profile (2002). In this Resilience is associated with absorption, managing distractions, noticing, perseverance; Resourcefulness with questioning, making links, imagining, reasoning; Reflectiveness with planning, revising, distilling, meta-learning and Reciprocity with interdependence, collaboration, empathy, listening and imitation. My fifth aim of sharing findings with others was undertaken throughout the research. My theory developed through reading, self reflection, writing and working with those who participated as colleagues and students (Wenger 2002). The findings make a contribution to knowledge, which evidences the claim that in education feelings may usefully be considered as legitimate thoughts.

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Şerban, Ovidiu Mircea. "Detection and integration of affective feedback into distributed interactive systems." Phd thesis, INSA de Rouen, 2013. http://tel.archives-ouvertes.fr/tel-00920335.

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Human-Computer Interaction migrates from the classic perspective to a more natural environment, where humans are able to use natural language to exchange knowledge with a computer. In order to fully "understand" the human's intentions, the computer should be able to detect emotions and reply accordingly. This thesis focuses on several issues regarding the human affects, from various detection techniques to their integration into a Distributed Interactive System. Emotions are a fuzzy concept and their perception across human individuals may vary as well. Therefore, this makes the detection problem very difficult for a computer. From the affect detection perspective, we proposed three different approaches: an emotion detection method based on Self Organizing Maps, a valence classifier based on multi-modal features and Support Vector Machines, and a technique to resolve conflicts into a well known affective dictionary (SentiWordNet). Moreover, from the system integration perspective, two issues are approached: a Wizard of Oz experiment in a children storytelling environment and an architecture for a Distributed Interactive System.

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Suarez, Eric. "La philosophie pour enfants de Lipman et l'éducation émotionnelle." Doctoral thesis, Université Laval, 2019. http://hdl.handle.net/20.500.11794/35463.

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En initiant une pratique philosophique destinée aux enfants dès la fin des années 60, axée sur l’apprentissage du dialogue philosophique et l’acquisition d’un esprit critique et auto critique, Matthew Lipman appréhenda la pensée de façon plurielle. Loin de la considérer comme un ensemble d’habiletés purement rationnelles, il l’aborda de façon holistique, accordant aux émotions une place essentielle à son bon fonctionnement. Dès lors, la philosophie pour enfants, en reconnaissant à la pensée cette nature double, rationnelle et émotionnelle, ne se limiterait pas à éduquer les élèves à bien penser, c’est-à-dire à manier les différentes habiletés intellectuelles susceptibles d’assurer le discernement, mais également à bien gérer leurs émotions. Si Lipman reconnait la possibilité d’une éducabilité émotionnelle que permettrait l’apprentissage du dialogue philosophique chez les enfants, il n’en identifie pourtant pas les ressorts. Ce travail de thèse s’évertuera alors à prolonger la pensée de Lipman en éclairant le lien entre sa méthode pédagogique et l’éducation des émotions qu’elle induirait. Pour ce faire, une étude pluridisciplinaire de l’intelligence et de l’émotion nous aidera à mieux comprendre ce lien. En nous plongeant dans ce que la philosophie, la psychologie et les neurosciences auront découvert de la nature et de la fonction de ces deux composantes de l’être humain, nous comprendrons à quel point elles sont liées et combien les carences de l’une peuvent endommager les qualités de l’autre. De ce rapport de dépendance entre l’intelligence et l’émotion, nous découvrirons la notion d’«intelligence émotionnelle» telle que présentée par le psychologue Daniel Goleman en 1995. En tant que capacité à gérer ses émotions en relation avec celles d’autrui dans un contexte toujours particulier, nous comparerons alors l’intelligence émotionnelle de Goleman à ce que Lipman entend par l’éducation des émotions afin d’en saisir la ressemblance. À la lumière de cette comparaison, nous rechercherons, de façon toujours interdisciplinaire, les moyens d’améliorer cette même intelligence émotionnelle. Puis, dans une dernière partie, nous pourrons alors identifier dans les outils pratiques de la philosophie pour enfants—les différentes étapes de la méthode lipmanienne (lecture partagée, cueillette des questions, vote de la question et dialogue) —ce qui permettrait d’éduquer les émotions par une sollicitation et un renforcement de l’intelligence émotionnelle.

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Barros, Ana Rita Hubbe Monteiro de. "Inteligência emocional e liderança ética : efeitos no comprometimento organizacional." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20719.

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Mestrado em Ciências Empresariais Os diversos escândalos corporativos que têm vindo a ser reportados aumentaram a consciencialização sobre a necessidade de mais estudos acerca da ética nos negócios e, em particular, sobre a relevância dos líderes nesse processo. A tomada de decisões não éticas veio reforçar a necessidade de se estudar as competências sociais e emocionais dos líderes, bem como o impacto das perceções dos colaboradores sobre os seus superiores nas suas atitudes face à organização. Assim, o presente trabalho tem como principal objetivo estudar os efeitos da perceção da liderança ética e da inteligência emocional do líder no comprometimento organizacional afetivo dos colaboradores. Para tal, foi analisada uma amostra de 73 colaboradores das mais variadas organizações em Portugal, através de inquéritos por questionário, distribuídos através de redes sociais. Os resultados obtidos evidenciaram a presença de uma relação positiva entre as variáveis independentes e a variável dependente, isto é, entre a inteligência emocional e a liderança ética com o comprometimento organizacional afetivo sentido pelos colaboradores. Mais ainda, verificou-se uma relação de influência entre as perceções de inteligência emocional e de liderança ética. The multiple corporate scandals that have been reported in recent years have raised awareness to the need for further studies on business ethics and the importance of the leaders in this process. The non-ethical decision-making came to reinforce the need to study the social and emotional skills of leaders, as well as the impact of employees' perceptions on their leaders in their attitudes towards the organization. The present study aims to study the effects of the perception of the leader's ethical leadership and emotional intelligence on the affective organizational commitment felt by employees. To this end, a sample of 73 employees from several organizations in Portugal was analysed through questionnaire surveys, distributed through social networks. The results obtained evidence the presence of a positive relationship between the independent variables and the dependent variable, that is, between emotional intelligence and ethical leadership with affective organizational commitment. Furthermore, it was shown that there is a relation of influence between perceptions of emotional intelligence and those of ethical leadership. info:eu-repo/semantics/publishedVersion

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Brawner, Keith. "Modeling Learner Mood in Realtime through Biosensors for Intelligent Tutoring Improvements." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5774.

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Computer-based instructors, just like their human counterparts, should monitor the emotional and cognitive states of their students in order to adapt instructional technique. Doing so requires a model of student state to be available at run time, but this has historically been difficult. Because people are different, generalized models have not been able to be validated. As a person's cognitive and affective state vary over time of day and seasonally, individualized models have had differing difficulties. The simultaneous creation and execution of an individualized model, in real time, represents the last option for modeling such cognitive and affective states. This dissertation presents and evaluates four differing techniques for the creation of cognitive and affective models that are created on-line and in real time for each individual user as alternatives to generalized models. Each of these techniques involves making predictions and modifications to the model in real time, addressing the real time datastream problems of infinite length, detection of new concepts, and responding to how concepts change over time. Additionally, with the knowledge that a user is physically present, this work investigates the contribution that the occasional direct user query can add to the overall quality of such models. The research described in this dissertation finds that the creation of a reasonable quality affective model is possible with an infinitesimal amount of time and without “ground truth” knowledge of the user, which is shown across three different emotional states. Creation of a cognitive model in the same fashion, however, was not possible via direct AI modeling, even with all of the “ground truth” information available, which is shown across four different cognitive states. Ph.D. Doctorate Electrical Engineering and Computing Engineering and Computer Science Computer Engineering

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Wild, Rafael. "Agências do artificial e do humano : uma análise de noções do humano na inteligência artificial a partir de perspectivas sociais e culturais." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/34146.

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Esta tese analisa noções construídas sobre o ser humano que são apropriadas com fins tecnológicos, em sistemas computacionais produzidos por praticantes da Inteligência Artificial. Foi desenvolvido com base em um trabalho de campo de observação participante junto a grupos de pesquisa acadêmico na área de Inteligência Artificial, um brasileiro e outro europeu (português). O trabalho articula-se com as demandas da Informática na Educação ao focar, de maneira não estrita, projetos com caráter pedagógico. O presente estudo, através dos significados e as práticas observadas a partir de dentro dos grupos, procurou compreender o conhecimento do participante enquanto pertencente a uma cultura própria e peculiar, e a lógica interna desta cultura. Foram interrogados com especial atenção os artefatos produzidos: sistemas computacionais, investidos das características funcionais desejadas pelos participantes, e materializando suas práticas e premissas. Observou-se como emoção, conhecimento, cultura, e agência, entre outros, são conceituados, estabelecidos e colocados em práticas como categorias do humano, não apenas como definições expressas em texto, mas como materializadas em artefatos e em expectativas sobre o encontro entre estes artefatos e seus usuários. Foi consistentemente trabalhado o “colocar em perspectiva” das práticas e noções próprias do campo estudado, a partir de ferramentas teóricas propostas pelos Estudos de Ciência e Tecnologia, em especial por B. Latour, L. Suchman e D. Forsythe. As práticas e noções, no campo abordado, são conhecimento científico e tecnológico, com estatuto próprio e estabelecido como válido e legítimo; em relação a isto, foi sistematicamente buscada a colocação desta validade e desta legitimidade em perspectiva, mostrando como esta validade relaciona-se com a forma de produção e legitimação, e como esta produção e legitimação podem ser vistas de outras formas. Espera-se, com estes resultados, contribuir para um diálogo mais sofisticado dentro da Informática na Educação entre as práticas tecnológicas, a Ciência da Computação e Inteligência Artificial, e a aplicação social e pedagógica destas práticas. This thesis addresses notions of human that are present in computer-based systems built by researchers in the area of Artificial Intelligence. Participant observation was performed in fieldwork within two academic research groups in Artificial Intelligence; one of such groups is Brazilian, while the other is Portuguese. The focus is on research projects displaying a pedagogical orientation. This thesis aims at understanding meanings and practices current in the groups, understood as local cultural settings, and the logics that underpin such meanings and practices. The technological artifacts that comprises their work, computer systems invested of certain functional characteristics, were interrogated. Categories such as emotion, knowledge, culture, and agency were followed as they are conceptualized and deployed as human traits, not only as textual definitions, but also as artefactual materializations and expectations about how users should encounter these artifacts. As a methodological analytics, these practices and notions were systematically compared with alternative perspectives, drawn from the theoretical references of the Science and Technological Studies (with special mention to B. Latour, L. Suchman and D. Forsythe). The validity and legitimacy of the positions of the group were not denied or devalued in this analytical process, but instead subjected to inquiry from different perspectives. The aims are making visible the relation of this validity and legitimacy with specific, situated processes of production and legitimation, and proposing that these processes could be considered in other, different ways.

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Faur, Caroline. "Approche computationnelle du regulatory focus pour des agents interactifs : un pas vers une personnalité artificielle." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS352/document.

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L'essor de l'informatique affective ouvre aujourd'hui la porte à la création de dispositifs artificiels dotés d'une forme d'intelligence sociale et émotionnelle. L’étude de l'interaction homme-machine dans ce contexte offre de nombreuses pistes de recherche. Parmi celles-ci se trouve la question de la personnalité : comment il est possible de modéliser certaines caractéristiques d’une personnalité artificielle ? Comment ces caractéristiques influencent le déroulement de l'interaction entre l'homme et la machine ? Cette question globale soulève plusieurs questions de recherche : Comment définir la personnalité ? Sur quels modèles et théories issus de la psychologie peut-on s'appuyer pour développer une personnalité artificielle ? Quelle méthodologie adopter pour aborder l’implémentation d'un concept psychologique complexe ? Qu'apporte le développement informatique d'une personnalité à l'interaction homme-machine ? Au domaine de la psychologie de la personnalité ? Comment évaluer expérimentalement ces apports ? Pour aborder ces questions, nos travaux se positionnent dans une optique pluridisciplinaire, au croisement de l’informatique et de la psychologie. Au regard de sa pertinence pour une approche computationnelle, nous avons modélisé la régulation du Soi comme une composante de la personnalité. Ce concept est approché à partir de la théorie du regulatory focus. Sur cette base théorique, un cadre de travail conceptuel et un modèle computationnel sont proposés. Un questionnaire mesurant le regulatory focus a également été développé et validé. Ces propositions théoriques sont mises en œuvre dans deux implémentations data-driven (dimensionnelle vs socio-cognitive) dotant des agents de regulatory focus en utilisant de l’apprentissage automatique. Deux études utilisateurs (interaction unique avec agent artificiel vs sessions répétées avec agent animé), présentées dans un cadre ludique, ont permis d’étudier la perception du regulatory focus chez un agent et son impact sur l'interaction. Nos résultats encouragent l’utilisation du regulatory focus en informatique affective et ouvrent des perspectives sur les liens théoriques et méthodologiques entre informatique et psychologie The development of affective computing is leading to the design of artificial devices endowed with a form of social and emotional intelligence. The study of human-computer interaction in this context offers many research tracks. Among them is the question of personality: how to model some characteristics of an artificial personality? How these characteristics will influence the course of interaction with users? This goal rises several research questions: how to define personality? On which models and theories from psychology should we rely to define some artificial personality? Which methodology will help to address the implementation of such a complex psychological concept? What could artificial personality bring to the field of human-computer interaction? And to the psychology of personality? How to experimentally evaluate these contributions? To address these issues, this thesis takes a multidisciplinary approach, at the crossing of computing science and psychology. Given its relevance to a computational approach, we modeled self-regulation as a component of personality. This concept is approached from the regulatory focus theory. On this theoretical basis, a conceptual framework and a computational model are proposed. Our theoretical proposals led to two data-driven implementations (dimensional vs. socio-cognitive) which endowed our artificial agents with regulatory focus by using machine-learning. A French questionnaire measuring regulatory focus was designed and validated. Two user studies (brief interaction with artificial agents vs. repeated sessions with animated agents), where the regulatory focus of agents is conveyed via game strategies, enabled the study of regulatory focus perception and its impact on the interaction. Our results support the use of regulatory focus in affective computing and open perspectives on the theoretical and methodological links between computer science and psychology

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Jaques, Patricia Augustin. "Using an animated pedagogical agent to interact affectively with the student." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2004. http://hdl.handle.net/10183/5886.

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Este trabalho propõe um agente pedagógico animado que possui o objetivo de fornecer suporte emocional ao aluno: motivando-o e encorajando-o, fazendo-o acreditar em suas próprias habilidades e promovendo um estado de espírito positivo no aluno, que é melhor para o seu aprendizado. Este suporte cuidadoso do agente, suas táticas afetivas, é expresso através de comportamentos emotivos e mensagens de encorajamento do personagem animado. Devido à tendência social humana de antropomorfizar software, nós acreditamos que um agente de software pode realizar esse papel afetivo. Para escolher as táticas afetivas adequadas, o agente deve conhecer as emoções do aluno. O agente proposto infere as seguintes emoções do aluno: alegria/tristeza, satisfação/frustração, raiva/gratidão e vergonha a partir do comportamento observável do aluno, isto é, as ações do aluno na interface do sistema educacional. A inferência das emoções é fundamentada psicologicamente na teoria cognitiva das emoções. Mais especificamente, nós usamos o modelo OCC o qual é baseado na abordagem cognitivista das emoções e é possível de ser implementado computacionalmente. Devido a natureza dinâmica da informação sobre o estado afetivo do aluno, nós adotamos uma abordagem BDI para implementar o modelo afetivo do usuário e o diagnóstico afetivo. Além disso, em nosso trabalho nós nos beneficiamos da capacidade de raciocínio do BDI para o agente deduzir o appraisal do aluno, que lhe permite inferir as emoções do aluno. Como um caso de estudo, o agente proposto é implementado como o Agente Mediador de MACES: um ambiente para ensino colaborativo à distância modelado com uma arquitetura multiagente e baseado psicologicamente na abordagem Sociocultural de Vygotsky. This work proposes an animated pedagogical agent that has the role of providing emotional support to the student: motivating and encouraging him, making him believe in his self-ability, and promoting a positive mood in him, which fosters learning. This careful support of the agent, its affective tactics, is expressed through emotional behaviour and encouragement messages of the lifelike character. Due to human social tendency of anthropomorphising software, we believe that a software agent can accomplish this affective role. In order to choose the adequate affective tactics, the agent should also know the student’s emotions. The proposed agent recognises the student’s emotions: joy/distress, satisfaction/disappointment, anger/gratitude, and shame, from the student’s observable behaviour, i. e. his actions in the interface of the educational system. The inference of emotions is psychologically grounded on the cognitive theory of emotions. More specifically, we use the OCC model which is based on the cognitive approach of emotion and can be computationally implemented. Due to the dynamic nature of the student’s affective information, we adopted a BDI approach to implement the affective user model and the affective diagnosis. Besides, in our work we profit from the reasoning capacity of the BDI approach in order for the agent to deduce the student’s appraisal, which allows it to infer the student’s emotions. As a case study, the proposed agent is implemented as the Mediating Agent of MACES: an educational collaborative environment modelled as a multi-agent system and pedagogically based on the sociocultural theory of Vygotsky.

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Grundström, Petter. "Design and Implementation of an Appraisal Module for Virtual Characters." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78886.

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In the field of artificial intelligence the production of believable emotions are vital to be able to produce believable behavior of virtual agents. This is done with a process called affective appraisal, which means that events and situations are appraised and emotions are produced accordingly. The Artificial Intelligence and Computer Graphics (AICG) lab at Linköpings University has been devel- oping an AI architecture for virtual agents. This architecture had an appraisal module in need of improvement. This M.Sc. thesis had the purpose of doing this. Several approaches to affective appraisal are discussed and compared and finally one approach, called the OCC model, is chosen for implementation. This model is suitable for a real-time AI architecture as it is simple, easy to implement and can produce a wide range of emotions. The implementation of the OCC model is described in terms of how its different parts are incorporated into the previously existing AI architecture. Three extensions to the OCC model are also implemented to improve the results: emotional memories, the appraisal of unexpected events and interaction between the produced emotions. Finally the implementation is tested and the results of the tests are discussed. It is found that the implementation produces sufficient results for the scope of the thesis and for the requirements of the AI architecture into which it is incorporated.

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Smollan, Roy Kark. "The emotional rollercoaster of organisational change : affective responses to organisational change, their cognitive antecedents and behavioural consequences : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Management at Massey University, Auckland, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/945.

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Change is a potentially emotional event as people anticipate or experience its outcomes and processes. Managers and researchers often ignore the emotional aspects of organisational change, yet it is precisely these aspects that can promote acceptance of change or resistance to it. The focus of the research is on the many factors that contribute to cognitive, affective and behavioural responses to organisational change. A model of individual responses evolved from the literature review and helped guide the research questions. It indicates that responses to change depend on factors in four categories: those in the change itself (outcomes, scale, temporal issues and justice); those in the employee (their emotional intelligence, disposition, previous experience of change, and change and stress outside the workplace); those in the employee’s perceptions of the leaders/managers/agents (their leadership ability, emotional intelligence and trustworthiness); and those in the employee’s perception of the organisation (its culture and change context). Two main research approaches underpinned the thesis. Firstly, cognitive appraisal theory takes the position that emotion derives from cognition as people contemplate the importance of events (such as organisational change) to their wellbeing and consider how they will cope. Secondly, social constructionism was used as a theoretical platform because it combines the individual experience of emotions during change with the social forces that help shape them. Twenty-four interviews were conducted in Auckland, New Zealand. The participants were from a variety of industries, organisations, hierarchical levels, change roles, functional departments and ethnic, gender and age groups. They reported on many different types of change, small and large, with many focussing on some element of organisational restructuring. The study showed that people played different roles in change events - as leaders, managers, agents and recipients - and at times took on a combination of these roles, which did not always depend on hierarchy. The roles they played to some extent influenced their responses. Findings show that all 13 factors in the model produced some responses, but not in all participants. The most prevalent of these, and those that often provoke emotions of the greatest intensity, were personal outcomes and the fairness of change. Two additional factors surfaced, control over the change and support from colleagues and people outside the organisation, and the model was revised to include them. The study confirmed that organisational change is indeed an emotional event, and that these emotions arise from a host of factors that have individual, social and wider contextual origins.

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Lagerkvist, Love. "Computation as Strange Material : Excursions into Critical Accidents." Thesis, Malmö universitet, Institutionen för konst, kultur och kommunikation (K3), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43639.

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Waking up in a world where everyone carries a miniature supercomputer, interaction designers find themselves in their forerunners dreams. Faced with the reality of planetary-scale we have to confront the task of articulating approaches responsive this accidental ubiquity of computation. This thesis attempts such a formulation by defining computation as a strange material, a plasticity shaped equally by its technical properties and the mode of production by which is its continuously re-produced. The definition is applied through a methodology of excursions — participatory explorations into two seemingly disparate sites of computation, connected in they ways they manifest a labor of care. First, we visit the social infrastructures that constitute the Linux kernel, examining strangle entanglements of programming and care in the world's largest design process. This is followed by a tour into the thorny lands of artificial intelligence, situated in the smart replies of LinkedIn. Here, we investigate the fluctuating border between the artificial and the human with participants performing AI, formulating new Turing tests in the process. These excursions afford an understanding of computation as fundamentally re-produced through interaction, a strange kind of affective work the understanding of which is crucial if we ambition to disarm the critical accidents of our present future.

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Villeda, Enrique Edgar LeoÌn. "Towards affective pervasive computing : emotion detection in intelligent inhabited environments." Thesis, University of Essex, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438154.

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Dissertations / Theses on the topic 'Affective intelligence'

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