Relevant bibliographies by topics / Affective intelligence

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Affective intelligence'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Affective intelligence"

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Ronda, Margaret. "Affective intelligence." American Book Review 29, no. 6 (2008): 4–5. http://dx.doi.org/10.1353/abr.2008.0122.

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Nalepa, Grzegorz J., José Palma, and María Trinidad Herrero. "Affective computing in ambient intelligence systems." Future Generation Computer Systems 92 (March 2019): 454–57. http://dx.doi.org/10.1016/j.future.2018.11.016.

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Samani, Hooman Aghaebrahimi, and Elham Saadatian. "A Multidisciplinary Artificial Intelligence Model of an Affective Robot." International Journal of Advanced Robotic Systems 9, no. 1 (2012): 6. http://dx.doi.org/10.5772/45662.

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A multidisciplinary approach to a novel artificial intelligence system for an affective robot is presented in this paper. The general objective of the system is to develop a robotic system which strives to achieve a high level of emotional bond between humans and robot by exploring human love. Such a relationship is a contingent process of attraction, affection and attachment from humans towards robots, and the belief of the vice versa from robots to humans. The advanced artificial intelligence of the system includes three modules, namely Probabilistic Love Assembly (PLA), based on the psychology of love, Artificial Endocrine System (AES), based on the physiology of love, and Affective State Transition (AST), based on emotions. The PLA module employs a Bayesian network to incorporate psychological parameters of affection in the robot. The AES module employs artificial emotional and biological hormones via a Dynamic Bayesian Network (DBN). The AST module uses a novel transition method for handling affective states of the robot. These three modules work together to manage emotional behaviours of the robot.
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Purba, Rentawati, and Kurnia Novita Putri Harahap. "HUBUNGAN FUNGSI AFEKTIF KELUARGA DENGAN KECERDASAN EMOSIONAL REMAJA DI SMA NEGERI 1 KECAMATAN PANAI HULU KABUPATEN LABUHAN BATU TAHUN 2019." Jurnal Penelitian Keperawatan Medik 1, no. 2 (2019): 53–57. http://dx.doi.org/10.36656/jpkm.v1i2.122.

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One of the family vital function is affective function. Fulfilling the affective function of the family is defined as the ability of the family to meet the need for comfort and happiness. Adolescents are now very worried because they experience difficulties in emotional intelligence due to the lack of family support they receive and is at risk of the teenager doing negative things or deviating. This type of research is descriptive with an approach Cross Sectional to know relationship between family affective and adolescent emotional intelligence. Location of this research was conducted at SMA Negeri 1 Sub District Panai Hulu District Labuhan Batu and this research was conducted in November 2018. The sample of this study was students on SMA Negeri 1 Sub District Panai Hulu District Labuhan Batu which numbered 86 people whose sampling uses techniques Starified Random Sampling. Data analysis using test Chi-Square. Result of statistical test say, there is a relationship between family affective and adolescent emotional intelligence in SMA Negeri 1 Sub District Panai Hulu Dixtrict Labuhan Batu. The results of the study show the importance of good family affectuive functions so that adolescent emotional intelligence can be applied in a positive form.
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Crothers, Lane. "Book Review: Affective Intelligence and Political Judgment." Journal of Asian and African Studies 38, no. 1 (2003): 116–18. http://dx.doi.org/10.1177/002190960303800115.

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Purba, Rentawati, and Kurnia Novita Putri Harahap. "HUBUNGAN FUNGSI AFEKTIF KELUARGA DENGAN KECERDASAN EMOSIONAL REMAJA DI SMA NEGERI 1 KECAMATAN PANAI HULU KABUPATEN LABUHAN BATU TAHUN 2019." Jurnal Penelitian Keperawatan Medik 1, no. 2 (2019): 53–57. http://dx.doi.org/10.36656/jpkm.v1i2.142.

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One of the family vital function is affective function. Fulfilling the affective function of the family is defined as the ability of the family to meet the need for comfort and happiness. Adolescents are now very worried because they experience difficulties in emotional intelligence due to the lack of family support they receive and is at risk of the teenager doing negative things or deviating. This type of research is descriptive with an approach Cross Sectional to know relationship between family affective and adolescent emotional intelligence. Location of this research was conducted at SMA Negeri 1 Sub District Panai Hulu District Labuhan Batu and this research was conducted in November 2018. The sample of this study was students on SMA Negeri 1 Sub District Panai Hulu District Labuhan Batu which numbered 86 people whose sampling uses techniques Starified Random Sampling. Data analysis using test Chi-Square. Result of statistical test using Chi-Square get p-Value 0,003 < 0.05. That is to say, there is a relationship between family affective and adolescent emotional intelligence in SMA Negeri 1 Sub District Panai Hulu Dixtrict Labuhan Batu. The results of the study show the importance of good family affectuive functions so that adolescent emotional intelligence can be applied in a positive form.
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Neuman, W. Russell, George E. Marcus, and Michael B. MacKuen. "Hardwired for News: Affective Intelligence and Political Attention." Journal of Broadcasting & Electronic Media 62, no. 4 (2018): 614–35. http://dx.doi.org/10.1080/08838151.2018.1523169.

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Safitri, Nurlinda, and Sriyamto . "CORRELATION RELATIONSHIPS BETWEEN PERCEPTION OF INTERPERSONAL INTELLIGENCE WITH AFFECTIVE STUDENTS IN CURRICULUM DEVELOPMENT IN ELEMENTARY TEACHER EDUCATION STUDY PROGRAM OF PAKUAN UNIVERSITY." JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) 3, no. 1 (2019): 01–04. http://dx.doi.org/10.33751/jhss.v3i1.1092.

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This research is a correlational design and quantitative research model. The purpose of this study was to describe information about the correlation relationship between Interpersonal Intelligence Perception and Affective Students in Curriculum Development Courses in fifth Semester students of the Elementary Teacher Education Study Program (PGSD) of Pakuan University. Based on the results of research on questionnaire data recapitulation and documentation, it can be concluded that there is a positive and significant relationship between the perceptions of interpersonal intelligence with the affective variables of the fifth semester students of class A and B PGSD Study Program, which means the more interpersonal intelligence students have, the more also high affective, and vice versa the lower the interpersonal intelligence, the lower the affective. The relationship can be seen from the price coefficient of 0.921, which means that the relationship between variables is very strong. The coefficient of regression equation Ŷ = 23.67 + 0.68X, which means that each increase in one unit of interpersonal intelligence will increase the effectiveness of 0.68 units. The contribution of perceptions of interpersonal intelligence in increasing affective is 0.53 or 53% and the remaining 47% can be influenced by several other factors.
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Kelelufna, Vantri Pieter, and Agustinus Lia Masan. "MENINGKATKAN PRESTASI BELAJAR SISWA SMA PADA MATERI GELOMBANG BUNYI MENGGUNAKAN STRATEGI MULTIPLE INTELLIGENCES." PEDAGOGIKA: Jurnal Pedagogika dan Dinamika Pendidikan 7, no. 2 (2019): 127–36. http://dx.doi.org/10.30598/pedagogikavol7issue2page127-136.

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A person has compound intelligence is the foundation for improving cognitive, affective and psychomotor learning achievements. Individually, the multiple intelligences that a person has are more than one or heterogeneous, so that abilities may be developed with some compound intelligence. The method of study used is descriptive research that is intended to give a description of symptoms, events and actual circumstances, in this case would clearly depict a student has description of sound wave material using a compound wave method. Before student obtain treatment of sound wave material using a compound intelligence strategy, the student mastery level was still very low, but when given the treatment with the compound intelligence strategy the student mastery level experienced improvement.
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Lim, Mei Yii, João Dias, Ruth Aylett, and Ana Paiva. "Creating adaptive affective autonomous NPCs." Autonomous Agents and Multi-Agent Systems 24, no. 2 (2010): 287–311. http://dx.doi.org/10.1007/s10458-010-9161-2.

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Dissertations / Theses on the topic "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<br>Department of Computer Science<br>William H. Hsu<br>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<br>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<br>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.<br>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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Books on the topic "Affective intelligence"

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Luo, Jia. Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2012.

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Prendinger, Helmut. Life-Like Characters: Tools, Affective Functions, and Applications. Springer Berlin Heidelberg, 2004.

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Blueprint for affective computing: A sourcebook. Oxford University Press, 2010.

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Powell, William R. Becoming an emotionally intelligent teacher. Corwin, 2010.

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Powell, William R. Becoming an emotionally intelligent teacher. Corwin, 2010.

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The mind's affective life: A psychoanalytic and philosophical inquiry. Brunner-Routledge, 2001.

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7 successful strategies to promote emotional intelligence in the classroom. Continuum, 2008.

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Ochan, Kusuma-Powell, ed. Becoming an emotionally intelligent teacher. Corwin, 2010.

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Powell, William R. Becoming an emotionally intelligent teacher. Corwin, 2010.

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Brighton, England) International Conference on Artificial Intelligence in Education (14th 2009. Artificial intelligence in education: Building learning systems that care : from knowledge representation to affective modelling. IOS Press, 2009.

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Book chapters on the topic "Affective intelligence"

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Pimentel, César F., and Maria R. Cravo. "Affective Revision." In Progress in Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11595014_12.

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Ho, Seng-Beng. "A Grand Challenge for Noology and Computational Intelligence." In Socio-Affective Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32113-4_8.

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Picard, R. W., and G. Cosier. "Affective Intelligence — The Missing Link?" In Telepresence. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5291-8_13.

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Dias, João, and Ana Paiva. "Agents with Emotional Intelligence for Storytelling." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24600-5_11.

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Jung, Joshua D. A., Jesse Hoey, Jonathan H. Morgan, Tobias Schröder, and Ingo Wolf. "Grounding Social Interaction with Affective Intelligence." In Advances in Artificial Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34111-8_7.

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Sugu, Dana, and Amita Chatterjee. "Affective Information Processing and Representations." In Perception and Machine Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27387-2_6.

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Johansson, Anja, and Pierangelo Dell’Acqua. "Affective States in Behavior Networks." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03452-7_2.

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Ibáñez, Jesús, David García, Oscar Serrano, Josep Blat, and Raquel Navarro. "Towards Affective Collages of Presences." In Ubiquitous Intelligence and Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11833529_116.

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Bibri, Simon Elias. "Affective Behavioral Features of AmI: Affective Context-Aware, Emotion-Aware, Context-Aware Affective, and Emotionally Intelligent Systems." In Atlantis Ambient and Pervasive Intelligence. Atlantis Press, 2015. http://dx.doi.org/10.2991/978-94-6239-130-7_8.

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Takacs, Barnabas. "Affective Intelligence: A Novel User Interface Paradigm." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_98.

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Conference papers on the topic "Affective intelligence"

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Paiva, Ana, Carlos Martinho, and Eugenio de Oliveira. "AC'05: Workshop on Affective Computing - Towards Affective Intelligent Systems." In 2005 Purtuguese Conference on Artificial Intelligence. IEEE, 2005. http://dx.doi.org/10.1109/epia.2005.341261.

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Legaspi, Roberto, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao. "Music compositional intelligence with an affective flavor." In the 12th international conference. ACM Press, 2007. http://dx.doi.org/10.1145/1216295.1216335.

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Sanderson, David, and Jeremy Pitt. "An Affective Anticipatory Agent Architecture." In 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2011. http://dx.doi.org/10.1109/wi-iat.2011.178.

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Hernández, Yasmín, Gustavo Arroyo-Figueroa, and L. Enrique Sucar. "Intelligent Tutoring System with Affective Behavior." In 2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session, MICAI. IEEE, 2007. http://dx.doi.org/10.1109/micai.2007.15.

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Yanfei, Sha. "Emotional Intelligence and Affective Computing in Uncertainty Situation." In 2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA). IEEE, 2013. http://dx.doi.org/10.1109/isdea.2012.167.

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Zhou, Chang-neng, Xue-li Yu, Jing-yu Sun, and Xiao-lin Yan. "Affective Computation Based NPC Behaviors Modeling." In 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops. IEEE, 2006. http://dx.doi.org/10.1109/wi-iatw.2006.29.

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Yu, Xinjia, Chunyan Miao, Cyril Leung, and Charles Thomas Salmon. "Modelling Composite Emotions in Affective Agents." In 2015 IEEE / WIC / ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 2015. http://dx.doi.org/10.1109/wi-iat.2015.140.

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Stanojevic, Mladen, and Sanja Vranes. "Semantic Classifier for Affective Computing." In 2008 International Conference on Computational Intelligence for Modelling Control & Automation. IEEE, 2008. http://dx.doi.org/10.1109/cimca.2008.28.

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Wu, Chi-Keng, Pau-Choo Chung, and Chi-Jen Wang. "Extracting coherent emotion elicited segments from physiological signals." In 2011 IEEE Workshop on Affective Computational Intelligence. IEEE, 2011. http://dx.doi.org/10.1109/waci.2011.5953149.

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"Front cover." In 2011 IEEE Workshop on Affective Computational Intelligence. IEEE, 2011. http://dx.doi.org/10.1109/waci.2011.5953155.

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Reports on the topic "Affective intelligence"

1

Killgore, William D., and Sophie DelDonno. Neurological Basis and Potential Modification of Emotional Intelligence through Affective/Behavioral Training. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada602894.

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Killgore, William D. The Neurological Basis and Potential Modification of Emotional Intelligence through Affective/Behavioral Training. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada564537.

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Killgore, William D., and Lauren Demers. The Neurobiological Basis and Potential Modification of Emotional Intelligence through Affective / Behavioral Training. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada599247.

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Foster, Dakota, and Zachary Arnold. Antitrust and Artificial Intelligence: How Breaking Up Big Tech Could Affect the Pentagon’s Access to AI. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20190025.

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While AI innovation would presumably continue in some form without Big Tech, the authors find that breaking up the largest technology companies could fundamentally change the broader AI innovation ecosystem, likely affecting the development of AI applications for national security.
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