Relevant bibliographies by topics / Conversational social agents

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

Academic literature on the topic 'Conversational social agents'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Conversational social agents"

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Krämer, Nicole C., Gary Bente, Felix Eschenburg, and Heide Troitzsch. "Embodied Conversational Agents." Social Psychology 40, no. 1 (2009): 26–36. http://dx.doi.org/10.1027/1864-9335.40.1.26.

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It was analyzed whether an embodied conversational agent (ECA) has specific advantages when employed with privacy invading technologies such as a biometric security system. The study compares the effects of an ECA interface with the effects of conventional text-based and voice-based interfaces on user acceptance and usability. An additional variable was whether the biometric system falsely rejected the user twice or whether it directly accepted him/her. Results of the 2 × 3 between-subjects design indicated that, although overall the text interface is rated most positive, voice and ECA yield distinct social effects: They have more advantageous consequences when problems arise – i.e., when the user is rejected repeatedly. The implications for social psychology in terms of applicability of new research methods as well as insights concerning fundamental research are discussed.
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Thomas, Paul, Mary Czerwinksi, Daniel Mcduff, and Nick Craswell. "Theories of Conversation for Conversational IR." ACM Transactions on Information Systems 39, no. 4 (2021): 1–23. http://dx.doi.org/10.1145/3439869.

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Conversational information retrieval is a relatively new and fast-developing research area, but conversation itself has been well studied for decades. Researchers have analysed linguistic phenomena such as structure and semantics but also paralinguistic features such as tone, body language, and even the physiological states of interlocutors. We tend to treat computers as social agents—especially if they have some humanlike features in their design—and so work from human-to-human conversation is highly relevant to how we think about the design of human-to-computer applications. In this article, we summarise some salient past work, focusing on social norms; structures; and affect, prosody, and style. We examine social communication theories briefly as a review to see what we have learned about how humans interact with each other and how that might pertain to agents and robots. We also discuss some implications for research and design of conversational IR systems.
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Louwerse, Max M., Arthur C. Graesser, Shulan Lu, and Heather H. Mitchell. "Social cues in animated conversational agents." Applied Cognitive Psychology 19, no. 6 (2005): 693–704. http://dx.doi.org/10.1002/acp.1117.

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Diederich, Stephan, Alfred Benedikt Brendel, and Lutz M. Kolbe. "Designing Anthropomorphic Enterprise Conversational Agents." Business & Information Systems Engineering 62, no. 3 (2020): 193–209. http://dx.doi.org/10.1007/s12599-020-00639-y.

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Abstract The increasing capabilities of conversational agents (CAs) offer manifold opportunities to assist users in a variety of tasks. In an organizational context, particularly their potential to simulate a human-like interaction via natural language currently attracts attention both at the customer interface as well as for internal purposes, often in the form of chatbots. Emerging experimental studies on CAs look into the impact of anthropomorphic design elements, so-called social cues, on user perception. However, while these studies provide valuable prescriptive knowledge of selected social cues, they neglect the potential detrimental influence of the limited responsiveness of present-day conversational agents. In practice, many CAs fail to continuously provide meaningful responses in a conversation due to the open nature of natural language interaction, which negatively influences user perception and often led to CAs being discontinued in the past. Thus, designing a CA that provides a human-like interaction experience while minimizing the risks associated with limited conversational capabilities represents a substantial design problem. This study addresses the aforementioned problem by proposing and evaluating a design for a CA that offers a human-like interaction experience while mitigating negative effects due to limited responsiveness. Through the presentation of the artifact and the synthesis of prescriptive knowledge in the form of a nascent design theory for anthropomorphic enterprise CAs, this research adds to the growing knowledge base for designing human-like assistants and supports practitioners seeking to introduce them into their organizations.
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Griol, David, Araceli Sanchis, José Manuel Molina, and Zoraida Callejas. "Developing enhanced conversational agents for social virtual worlds." Neurocomputing 354 (August 2019): 27–40. http://dx.doi.org/10.1016/j.neucom.2018.09.099.

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Feine, Jasper, Ulrich Gnewuch, Stefan Morana, and Alexander Maedche. "A Taxonomy of Social Cues for Conversational Agents." International Journal of Human-Computer Studies 132 (December 2019): 138–61. http://dx.doi.org/10.1016/j.ijhcs.2019.07.009.

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Krämer, Nicole C. "Psychological Research on Embodied Conversational Agents: The Case of Pedagogical Agents." Journal of Media Psychology 22, no. 2 (2010): 47–51. http://dx.doi.org/10.1027/1864-1105/a000007.

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Wang, Haolin, Qingpeng Zhang, Mary Ip, and Joseph Tak Fai Lau. "Social Media–based Conversational Agents for Health Management and Interventions." Computer 51, no. 8 (2018): 26–33. http://dx.doi.org/10.1109/mc.2018.3191249.

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Laban, Guy, Jean-Noël George, Val Morrison, and Emily S. Cross. "Tell me more! Assessing interactions with social robots from speech." Paladyn, Journal of Behavioral Robotics 12, no. 1 (2020): 136–59. http://dx.doi.org/10.1515/pjbr-2021-0011.

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AbstractAs social robots are increasingly introduced into health interventions, one potential area where they might prove valuable is in supporting people’s psychological health through conversation. Given the importance of self-disclosure for psychological health, this study assessed the viability of using social robots for eliciting rich disclosures that identify needs and emotional states in human interaction partners. Three within-subject experiments were conducted with participants interacting with another person, a humanoid social robot, and a disembodied conversational agent (voice assistant). We performed a number of objective evaluations of disclosures to these three agents via speech content and voice analyses and also probed participants’ subjective evaluations of their disclosures to three agents. Our findings suggest that participants overall disclose more to humans than artificial agents, that agents’ embodiment influences disclosure quantity and quality, and that people are generally aware of differences in their personal disclosures to three agents studied here. Together, the findings set the stage for further investigation into the psychological underpinnings of self-disclosures to artificial agents and their potential role in eliciting disclosures as part of mental and physical health interventions.
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Lee, Seo-young, Gyuho Lee, Soomin Kim, and Joonhwan Lee. "Expressing Personalities of Conversational Agents through Visual and Verbal Feedback." Electronics 8, no. 7 (2019): 794. http://dx.doi.org/10.3390/electronics8070794.

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As the uses of conversational agents increase, the affective and social abilities of agents become important with their functional abilities. Agents that lack affective abilities could frustrate users during interaction. This study applied personality to implement the natural feedback of conversational agents referring to the concept of affective computing. Two types of feedback were used to express conversational agents’ personality: (1) visual feedback and (2) verbal cues. For visual feedback, participants (N = 45) watched visual feedback with different colors and motions. For verbal cues, participants (N = 60) heard different conditions of agents’ voices with different scripts. The results indicated that the motions of visual feedback were more significant than colors. Fast motions could express distinct and positive personalities. Different verbal cues were perceived as different personalities. The perceptions of personalities differed according to the vocal gender. This study provided design implications for personality expressions applicable to diverse interfaces.
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Dissertations / Theses on the topic "Conversational social agents"

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Kumar, Rohit. "Socially Capable Conversational Agents for Multi-Party Interactive Situations." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/162.

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Since the inception of AI research, great strides have been made towards achieving the goal of extending natural language conversation as a medium of interaction with machines. Today, we find many Conversational Agents (CAs) situated in various aspects of our everyday life such as information access, education and entertainment. However, most of the existing work on CAs has focused on agents that support only one user in each interactive session. On the other hand, people organize themselves in groups such as teams of co-workers, family and networks of friends. With the mass-adoption of Internet based communication technologies for group interaction, there is an unprecedented opportunity for CAs to support interactive situations involving multiple human participants. Support provided by these CAs can make the functioning of some of these groups more efficient, enjoyable and rewarding to the participants. Through our work on supporting various Multi-Party Interactive Situations (MPIS), we have identified two problems that must be addressed in order to embed effective CAs in such situations. The first problem highlights the technical challenges involving the development of CAs in MPIS. Existing approaches for modeling agent behavior make assumptions that break down in multi-party interaction. As a step towards addressing this problem, this thesis contributes the Basilica software architecture that uses an event-driven approach to model conversation as an orchestration of triggering of conversational behaviors. This architecture alleviates the technical problems by providing a rich representational capability and the flexibility to address complex interaction dynamics. The second problem involves the choice of appropriate agent behaviors. In MPIS, agents must compete with human participants for attention in order to effectively deliver support and interventions. In this work, we follow a model of human group interaction developed by empirical research in small group communication. This model identifies two fundamental processes in human group interaction, i.e., Instrumental (Task-related) and Expressive (Social-Emotional). Behaviors that constitute this expressive process hold the key to managing and regulating user attention and serve other social functions in group interaction. This thesis describes two socially capable conversational agents that support users in collaborative learning and group decision making activities. Their social capabilities are composed of a set of behaviors based on the Social-Emotional interaction categories identified by work in small group communication. These agents demonstrate the generalizability of our methodology for designing and implementing social capabilities across two very different interactive situations. In addition to the implementation of these agents, the thesis presents a series of experiments and analysis conducted to investigate the effectiveness of these social capabilities. First and foremost, these experiments show significant benefits of the use of socially capable agents on task success and agent perception across the two different interactive situations listed above. Second, they investigate issues related to the appropriate use of these social capabilities specifically in terms of the amount and timing of the constituent social behaviors. Finally, these experiments provide an understanding of the underlying mechanism that explains the effects that social capabilities can achieve.
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Schuetzler, Ryan M. "Dynamic Interviewing Agents: Effects on Deception, Nonverbal Behavior, and Social Desirability." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/556441.

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Virtual humans and other virtual agents are becoming more common in our everyday lives. Whether in the form of phone-based personal assistants or automated customer service systems, these technologies have begun to touch more of our activities. This research aims to understand how this technology affects the way we interact with our computer systems. Using a chat bot, I studied the way a conversational computer system affects the way people interact with and perceive automated interviewing systems in two different contexts. Study 1 examines the impact of a conversational agent on behavior during deception. It found that a conversational agent can have a powerful impact on people's perception of the system, resulting in individuals viewing the system as much more engaging and human. The conversational agent further results in a suppression of deception-related cues consistent with a more human-like interaction. Study 2 focuses on the effect of a conversational agent on socially desirable responding. Results of this study indicate that a conversational agent increases social desirability when the topic of the interview is sensitive, but has no effect when the questions are non-sensitive. The results of these two studies indicate that a conversational agent can change the way people interact with a computer system in substantial and meaningful ways. These studies represent a step toward understanding how conversational agents can shape the way we view and interact with computers.
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Nikitina, Svetlana. "Understanding the interplay between technology and social ties in later life: How social ties promote use of technology and how technology can promote social relationships." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/243027.

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Meaningful social connections are an important part of our lives, especially as we age, and are associated with life satisfaction and psychological well-being. At the same time making friends and creating connections is known to be challenging in older age. In this thesis, we focus on studying how technology can help to collect information about older adults that can be useful for facilitating friendship formation and social interactions among users. We start by describing early work that shows the opportunities of technology in improving well-being of older adults. The conducted studies and review work highlights the potential of social interactions in motivating older adults for technology use and exercising. We then study factors affecting people's social connectedness and friendships. The study highlights that common life points are related to higher levels of connectedness and frequency of interactions. We then move the focus on studying friendship formation in later life, and specifically on how technology can help to facilitate friendship formation. From observations in the nursing homes we see that reminiscence is often used to collect information about a person’s history and values, we look at this practice as a way to identify information potentially useful to recommend friendships, especially in nursing homes context. We conduct Interviews and observations with nursing homes stakeholders and gerontology doctors to define requirements and opportunities of reminiscence conversational agent suitable to their current practices. We then conduct a study to explore how the concept of the bot and features are perceived by elderly, NH staff and doctors. Finally, we present the work carried out to define and validate the concept of a reminiscence-based conversational agent aimed at: i) conducting storytelling conversations that are engaging and natural and ii) being effective in collecting information about the user (e.g values, interests, places) that later can be used for recommending potential friends.
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Ljunglöv, Robin. "Prestation, intresse, engagemang, uppskattning : Skillnader i upplevelse av en virtuell lärmiljö mellan matematiskt hög- och lågpresterande elever." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-69260.

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Digitala läromedel blir ett vanligare inslag i skolgången då ny teknologi erbjuder tidigare okända pedagogiska möjligheter. Denna uppsats undersöker hur elever som använder ett digitalt läromedel i form av en virtuell lärmiljö för matematiklärande upplever denna lärmiljö. Dessutom undersöks elevernas prestation i lärmiljöns matematiska uppgifter. Skillnader mellan elever i olika årskurser samt elever som är matematiskt låg- eller högpresterande studeras. Matematisk prestation beskrivs utifrån Goods (1981) passivitetsmodell som innebär att lågpresterande elever är mindre risktagande i klassrumsmiljön. Elevernas upplevelse av digitala läromedel studerades i en virtuell lärmiljö bestående av två moduler, en spelmodul och en modul för skriven dialog. Upplevelsen av lärmiljön undersöktes genom att studera hur intressant eleverna tyckte att spelet var, huruvida eleverna tyckte att agenten gjorde att de brydde sig mer när de spelade, samt om de gillade den skrivna dialogen. Tidigare insamlad data från elever i årskurs 6-8 som använt den virtuella lärmiljön undersöktes med kvasiexperimentell metod och analyserades med ANOVA. Analysen påvisade en skillnad mellan låg- och högpresterande elever i hur mycket de tycker att en pedagogisk virtuell agent engagerar dem i en virtuell lärmiljö. Matematiskt högpresterande elever anser att agenten gör dem mer engagerade än vad matematiskt lågpresterande elever anser. Detta kan tyda på att lågpresterande elevers passivitet utöver traditionell klassrumspedagogik också påverkar elevernas upplevelse av digitala läromedel. I vidareutvecklingen av den virtuella lärmiljön och skapandet av andra virtuella lärmiljöer är det viktigt att se till att elever både lär sig och engageras av lärmiljön. Utvecklare bör också ta hänsyn till de skillnader som finns mellan låg- och högpresterande elevers upplevelse av lärmiljön. Detta kan exempelvis ske genom att den virtuella lärmiljön görs anpassningsbar för att passa elever oberoende av prestationsnivå. Detta är en viktig målsättning för att se förbättra lågpresterande elevers möjligheter i skolan, något som virtuella lärmiljöer och digitala läromedel i allmänhet kan utgöra ett kraftfullt medium för.
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Ravenet, Brian. "Modélisation de comportements non-verbaux et d'attitudes sociales dans la simulation de groupes conversationnels." Thesis, Paris, ENST, 2015. http://www.theses.fr/2015ENST0075/document.

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Les Agents Conversationnels Animés sont des personnages virtuels dont la fonction principale est d'interagir avec l'utilisateur. Ils sont utilisés dans différents domaines tels que l'assistance personnelle, l'entrainement social ou les jeux vidéo et afin d'améliorer leur potentiel, il est possible de leur donner la capacité d'exprimer des comportements similaires à ceux des humains. Les utilisateurs, conscient d'interagir avec une machine, sont tout de même capable d'analyser et d'identifier des comportements sociaux à travers les signaux émis par les agents. La recherche en ACA s'est longtemps intéressée aux mécanismes de reproduction et de reconnaissance des émotions au sein de ces personnages virtuels et maintenant l'intérêt se porte sur la capacité d'exprimer différentes attitudes sociales. Ces attitudes reflètent un style comportemental et s'expriment à travers différentes modalités du corps comme les expressions faciales, les regards ou les gestes par exemple. Nous avons proposé un modèle permettant à un agent de produire différents comportements non-verbaux traduisant l'expression d'attitudes sociales dans une conversation. L'ensemble des comportements générés par notre modèle permettent à un groupe d'agents animés par celui-ci de simuler une conversation, sans tenir compte du contenu verbal. Deux évaluations du modèle ont été conduites, l'une sur Internet et l'autre dans un environnement de réalité virtuelle, afin de vérifier que les attitudes étaient bien reconnues<br>Embodied Conversational Agents are virtual characters which main purpose is to interact with a human user. They are used in various domains such as personal assistance, social training or video games for instance. In order to improve their capabilities, it is possible to give them the ability to produce human-like behaviors. The users, even if they are aware that they interact with a machine, are still capable of analyzing and identifying social behaviors through the signals produced by these virtual characters. The research in Embodied Conversational Agents has focused for a long time on the reproduction and recognition of emotions by virtual characters and now the focus is on the ability to express different social attitudes. These attitudes show a behavioral style and are expressed through different modalities of the body, like the facial expressions, the gestures or the gazes for instance. We proposed a model that allows an agent to produce different nonverbal behaviors expressing different social attitudes in a conversation. The whole set of behaviors produced by our model allows a goup of agents animated by it to simulate a conversation, without any verbal content. Two evaluations of the model were conducted, one on the Internet and one in a Virtual Reality environment, to verify that the attitudes produced are well recognized
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Hunt, Janey. "Conversations : the socially engaged artist as environmental change agent." Thesis, University of Plymouth, 2011. http://hdl.handle.net/10026.1/817.

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I use my art practice in conjunction with environmental behaviour research and Michel de Certeau’s practice of the everyday, to enable a re-examination of socially engaged art and through art to activate environmental behaviour change. Questions Clarify contemporary debate about demonstrable and desirable aspects and issues of socially engaged art practice and through my own practice identify its key characteristics. Examine the claim for change offered by many socially engaged practitioners. Context The socially engaged artist operates outside of the gallery, in everyday lives and real situations, often engaging in issues of meaning to society at large, where participation and facilitation of dialogue are the common characteristics. I identify participation, the ambition of social change, aesthetic representation and a failure to communicate beyond the participative event as key considerations. (Bishop 2004; Bourriaud 2002; Kester 2004; Kwon 2004) I propose an aesthetic of presence, to recognise community as a creative vernacular and as pooled knowledge. Drawn from Michel de Certeau’s research into everyday life (Michel de Certeau 1985; Michel de Certeau et al. 1998a) this also provides a refocusing on participation through conversation and describes rupture events, which signify change occurring. Method This thesis compares research in an alternative field, environmental behaviour, which investigates the impediments to change (the value-action gap), how change happens and identifies the change agent, as essential to encourage change at a personal level. (Ballard and Associates 2005b; Darnton et al. 2006) I use the value-action gap, the tension point between knowing about climate change and failing to make changes in our own behaviour, (Blake 1999; Darnton 2004b; Kollmus and Agyeman 2002) as a direct impetus to make participative artwork that examines the idea of a sustainable lifestyle. My art practice recognises a three-stage process: an admission of my own environmental behaviour; encouraging reciprocal participation and conversation and enabling personal reflection; representing conversation offering shared vernacular knowledge and enabling others’ engagement with the artwork and behaviour change. Equating the socially engaged artist with the environmental change agent, I synthesised the Model for Change Agents (S. Ballard and Ballard 2005a; Ballard and Associates 2005b) with research on participation in the arts (Matarasso 1997), as a basis for understanding how participation occurs and how change could happen in socially engaged artworks. An analysis of pilot artworks extends this model to identify the conditions for change, which also equate to the aesthetic aspects of the artwork, in a new model for Practice, Participation and Progression. Outcomes I propose key characteristics for socially engaged practice based on analysis of contemporary commentators and the model for practice, participation and progression. The role of the socially engaged artist is identified as comparable to the change agent. Representing conversation, addresses an issue of socially engaged practice to communicate beyond documentation of the event’s provocation and participation. I develop discussion of the discursive site beyond participation itself to a community of common sensibility and pooled knowledge as a demonstration of personal agency that is able to redefine the public ideal and challenge dominant culture. Re-presenting conversation is a means of sharing knowledge, stimulating change and expanding community. Contributing to environmental behaviour research my art practice reveals our ability to abstract behaviour, identifies our main areas of concern within lifestyle, our motivations for making change and the importance of the preservation of personal agency. I also comment on de Certeau, identifying the problems with individual resistance through the everyday, exploring mini-rupture events signaling change and proposing a reversal of the aesthetic of absence to an aesthetic of presence creating a new narrative that utilises personal agency.
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Janssoone, Thomas. "Analyse de signaux sociaux multimodaux : application à la synthèse d’attitudes sociales chez un agent conversationnel animé." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS607.

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Lors d'une interaction, le comportement non-verbal apporte des informations sur l'état affectif de l'intervenant comme son attitude ou sa personnalité par exemple. Cela se traduit par des modulations dans l'utilisation de ses signaux sociaux : les variations dans les mouvements de tête, les expressions faciales ou la prosodie traduisent ces différents phénomènes affectifs. Désormais, l'utilisation d'agents conversationnels animés permet aux machines d'utiliser le même type de signaux sociaux. Ces agents peuvent ainsi améliorer la qualité de vie dans nos sociétés modernes s'ils proposent une interaction naturelle avec des utilisateurs humains. Pour cela, l'agent virtuel doit être capable d'exprimer différentes attitudes selon l'utilisateur, comme de la dominance pour un tuteur ou de la bienveillance pour un compagnon. La littérature en sociologie et psychologie souligne que la dynamique dans l'usage des signaux sociaux contient une information importante pour l'expression de différents états affectifs. Les travaux présentés dans cette thèse proposent donc des modèles centrés sur la temporalité, élaborés à partir de signaux sociaux extraits automatiquement de corpus d'études, afin d'exprimer un phénomène affectif voulu. L'analyse de cette information est toujours effectuée dans un but de synthèse de comportements pour pouvoir l'utiliser lors de la génération d'agents conversationnels animés. Ainsi, une revue des bases de données existantes justifie l'élaboration, dans cette thèse, d'un corpus de travail composé d'allocutions présidentielles. Les vidéos de bonne qualité le composant permettent alors l'utilisation d'algorithmes pour évaluer automatiquement les signaux sociaux. Après un traitement des signaux sociaux extraits, des vidéos sont générées où un agent clone les allocutions. Cela permet d'évaluer et de comparer la perception d'attitude avec l'humain et avec l'agent virtuel comme protagoniste. Le modèle SMART utilise la fouille de données pour trouver des règles d'associations temporelles dans des corpus d'interactions. Il permet de trouver une information temporelle précise dans l'utilisation de signaux sociaux et de la lier avec une attitude sociale. La structure de ses règles permet également de transposer cette information pour synthétiser le comportement d'un agent virtuel. Des études perceptives viennent valider cette approche. Une collaboration internationale a abouti au modèle SSN qui se base sur de l'apprentissage profond et de la séparation de domaine. Il permet un apprentissage multi-tâche de plusieurs phénomènes affectifs simultanément et propose ainsi une méthode d'analyse de la dynamique des signaux employés. Ces différentes contributions confirment l’intérêt de prendre en compte la temporalité dans la synthèse d'agents virtuels pour exprimer correctement certains phénomènes affectifs. Les perspectives proposent des pistes pour l'intégration de cette information dans des solutions multimodales<br>During an interaction, non-verbal behavior reflects the emotional state of the speaker, such as attitude or personality. Modulations in social signals tell about someone's affective state like variations in head movements, facial expressions or prosody. Nowadays, machines can use embodied conversational agents to express the same kind of social cues. Thus, these agents can improve the quality of life in our modern societies if they provide natural interactions with users. Indeed, the virtual agent must express different attitudes according to its purpose, such as dominance for a tutor or kindness for a companion. Literature in sociology and psychology underlines the importance of the dynamic of social signals for the expression of different affective states. Thus, this thesis proposes models focused on temporality to express a desired affective phenomenon. They are designed to handle social signals that are automatically extracted from a corpus. The purpose of this analysis is the generation of embodied conversational agents expressing a specific stance. A survey of existing databases lead to the design of a corpus composed of presidential addresses. The high definition videos allow algorithms to automatically evaluate the social signals. After a corrective process of the extracted social signals, an agent clones the human's behavior during the addresses. This provides an evaluation of the perception of attitudes with a human or a virtual agent as a protagonist. The SMART model use sequence mining to find temporal association rules in interaction data. It finds accurate temporal information in the use of social signals and links it with a social attitude. The structure of these rules allows an easy transposition of this information to synthesize the behavior of a virtual agent. Perceptual studies validate this approach. A second model, SSN, designed during an international collaboration, is based on deep learning and domain separation. It allows multi-task learning of several affective phenomena and proposes a method to analyse the dynamics of the signals used. These different contributions underline the importance of temporality for the synthesis of virtual agents to improve the expression of certain affective phenomena. Perspectives give recommendation to integrate this information into multimodal solutions
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Chao, Crystal. "Timing multimodal turn-taking in human-robot cooperative activity." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54904.

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Turn-taking is a fundamental process that governs social interaction. When humans interact, they naturally take initiative and relinquish control to each other using verbal and nonverbal behavior in a coordinated manner. In contrast, existing approaches for controlling a robot's social behavior do not explicitly model turn-taking, resulting in interaction breakdowns that confuse or frustrate the human and detract from the dyad's cooperative goals. They also lack generality, relying on scripted behavior control that must be designed for each new domain. This thesis seeks to enable robots to cooperate fluently with humans by automatically controlling the timing of multimodal turn-taking. Based on our empirical studies of interaction phenomena, we develop a computational turn-taking model that accounts for multimodal information flow and resource usage in interaction. This model is implemented within a novel behavior generation architecture called CADENCE, the Control Architecture for the Dynamics of Embodied Natural Coordination and Engagement, that controls a robot's speech, gesture, gaze, and manipulation. CADENCE controls turn-taking using a timed Petri net (TPN) representation that integrates resource exchange, interruptible modality execution, and modeling of the human user. We demonstrate progressive developments of CADENCE through multiple domains of autonomous interaction encompassing situated dialogue and collaborative manipulation. We also iteratively evaluate improvements in the system using quantitative metrics of task success, fluency, and balance of control.
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Hansen, Carla Grace. "Advancing a Community's Conversations About and Engagement with Climate Change." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248405/.

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The goal of this project completed for the Greater Northfield Sustainability Collaborative (GNSC) was to understand how Northfield, Minnesota citizens are experiencing climate change. Thirty individuals were interviewed to find out what they know about climate change, what actions they are taking, what they think the solutions are to the problems, and what barriers they have to more fully engaging with climate change issues. The interview results are intended to promote and advance the community's discussion on climate change via social learning and community engagement activities such as town hall forums and community surveys. These activities encourage citizens in the community to have direct input into the development of the community's climate action plan (CAP). Analysis of the interviews showed that the interviewees are witnessing climate change, that most are taking at least some action such as recycling or lowering thermostats, that they can name barriers to their own inaction, that they say communication about climate change remains confusing and is not widespread in Northfield, and that they are able to provide numerous suggestions for what the local and broader leadership should be doing. The analysis also showed wide individual variation within the group. Interviewees who were less knowledgeable about climate were less likely to be taking action and do not participate in social groups where climate change is discussed. Conclusions are that the whole group would like more and better communication and education from our leaders, that they also expect our leaders to be part of creating solutions to climate change, and that the solutions the interviewees suggested provide a very thorough initial list of mitigation and adaptation strategies for the city's future CAP.
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Chaabi, Youness. "Apport des Systèmes Multi-Agent et de la logique floue pour l'assistance au tuteur dans une communauté d'apprentissage en ligne." Thesis, Belfort-Montbéliard, 2016. http://www.theses.fr/2016BELF0293/document.

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La place importante du tutorat dans la réussite d'un dispositif de formation en ligne a ouvert un nouvel axe de recherche dans le domaine des EIAH (Environnements Informatiques pour l'Apprentissage Humain). Nos travaux se situent plus particulièrement dans le champ de recherches des ACAO. Dans un contexte collaboratif, le tutorat et les outils « d'awareness » constituent des solutions admises pour faire face à l'isolement qui très souvent, mène à l'abandon de l'apprenant. Ainsi, du fait des difficultés rencontrées par le tuteur pour assurer un encadrement et un suivi appropriés à partir des traces de communication (en quantités conséquentes) laissées par les apprenants, nous proposons une approche multi-agents pour analyser les conversations textuelles asynchrones entre apprenants. Ces interactions sont révélatrices de comportements sociaux-animateur, indépendant, etc... qu'il nous paraît important de pouvoir repérer lors d'une pédagogie de projet pour permettre aux apprenants de situer leurs travaux par rapport aux autres apprenants et situer leur groupe par rapport aux autres groupes d'une part, et d'autre part permettre au tuteur d'accompagner les apprenants dans leur processus d'apprentissage, repérer et soutenir les individus en difficulté pour leur éviter l'abandon. Ces indicateurs seront déduits à partir des grands volumes d'échanges textuels entre apprenants.L'approche a été ensuite testée sur une situation réelle, qui a montré une parfaite concordance entre les résultatsobservés par des tuteurs humains et ceux déterminés automatiquement par notre système<br>The growing importance of online training has put emphasis on the role of remote tutoring. A whole new area of research, dedicated to environment for human learning (EHL), is emerging. We are concerned with this field. More specifically, we will focus on the monitoring of learners.The instrumentation and observation of learners activities by exploiting interaction traces in the EHL and the development of indicators can help tutors to monitor activities of learners and support them in their collaborative learning process. Indeed, in a learning situation, the teacher needs to observe the behavior of learners in order to build an idea about their involvement, preferences and learning styles so that he can adapt the proposed activities. As part of the automatic analysis of collaborative learner¿s activities, we describe a multi agent approach for supporting learning activities in a Virtual Learning Environment context. In order to assist teachers who monitor learning processes, viewed as a specific type of collaboration, the proposed system estimates a behavioral (sociological) profile for each student. This estimation is based on automatic analysis of students textual asynchronous conversations. The determined profiles are proposed to the teacher and may provide assistance toteacher during tutoring tasks. The system was experimented with students of the master "software quality" of the Ibn Tofail University. The results obtained show that the proposed approach is effective and gives satisfactory results
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Books on the topic "Conversational social agents"

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Agents secrets: Le public dans la construction interactive de la représentation théâtrale. Uppsala Universitet, 2002.

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Buckland, Warren, and Daniel Fairfax, eds. Conversations with Christian Metz. Amsterdam University Press, 2017. http://dx.doi.org/10.5117/9789089648259.

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From 1968 to 1991 the acclaimed film theorist Christian Metz wrote several remarkable books on film theory: Essais sur la signifi cation au cinéma, tome1 et 2; Langage et cinéma; Le signifiant imaginaire; and L’Enonciation impersonnelle. These books set the agenda of academic film studies during its formative period. Metz’s ideas were taken up, digested, refined,reinterpreted, criticized and sometimes dismissed, but rarely ignored. This volume collects and translates into English for the first time a series of interviews with Metz, who offers readable summaries,elaborations, and explanations of his sometimes complex and demanding theories of film. He speaks informally of the most fundamental concepts that constitute the heart of film theory as an academic discipline — concepts borrowed from linguistics, semiotics, rhetoric, narratology, and psychoanalysis. Within the colloquial language of the interview, we witness Metz’s initial formation and development of his film theory. The interviewers act as curious readers who pose probing questions to Metz about his books, and seek clarification and elaboration of his key concepts. We also discover the contents of his unpublished manuscript on jokes, his relation to Roland Barthes, and the social networks operative in the French intellectual community during the 1970s and 1980s.
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Yep, Laurence. Angel Island: Conversations with my father. HarperCollinsPublishers, 2008.

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Christine. A medieval woman's mirror of honor: The treasury of the city of ladies. Bard Hall Press, 1989.

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McKenna, Michael. Power, Social Inequities, and the Conversational Theory of Moral Responsibility. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190609610.003.0002.

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According to the conversational theory, moral responsibility is essentially interpersonal and communicative. Indeed, it is not only communicative; it has a conversational dimension. On the conversational theory, an agent’s actions—those that are candidates for blameworthiness or praiseworthiness—are potential bearers of meaning, where meaning is a function of the quality of an agent’s will. This meaning is analogous to the meaning a competent speaker conveys when she engages in conversation. Call this “agent meaning.” Like speaker meaning, agent meaning can be affected by the interpretive framework whereby others interpret the meaning of an agent’s actions. One aspect of the conversational theory that remains unexplored is how asymmetrical power-dynamics, especially resulting from social inequities, shape the interpretive framework that in turn influences the context in which morally responsible agents act. This chapter explores this topic and thereby exposes an unpalatable side to the nature of our moral responsibility practices.
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Archer, Margaret S. Structure, Agency and the Internal Conversation. Cambridge University Press, 2003.

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Archer, Margaret S. Structure, Agency and the Internal Conversation. Cambridge University Press, 2003.

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Kölbel, Andrea. In Search of a Future. Edited by Meenakshi Thapan. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190124519.001.0001.

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In a conversation about youth agency, the most common discourses that come up are of acts of liberation, resistance, and deviance. However, this perspective is fairly narrow and runs the risk of reinforcing pervasive and often polarizing depictions of youth. In order to broaden the understanding of young people’s collective actions and their potential social implications, it is necessary to ask: What types of agency do young people demonstrate? This book aims to scrutinize some of the conceptual ideas that underlie prevalent visions of youth as agents of social change and as a source of hope for a better future. As a part of the Education and Society in South Asia series, it provides insightful accounts of students’ daily routines on and around a public university campus in Kathmandu, Nepal, and calls attention to a group of non-elite university students who have remained less visible in scholarly and public debates about student activism, youth unemployment, and international migration. By placing different strands of literature on youth, aspiration, and mobility into conversation, In Search of a Future unveils new and important perspectives on how young people navigate competing social expectations, educational inequalities, and limited job prospects.
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Ulrich, Nonn, ed. Quellen zur Alltagsgeschichte im Früh- und Hochmittelalter =: Fontes priorum medii aevi saeculorum conversationem cottidianam illustrantes. Wissenschaftliche Buchgesellschaft, 2003.

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Isaac, Alistair M. C., and Will Bridewell. White Lies on Silver Tongues. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190652951.003.0011.

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It is easy to see that social robots will need the ability to detect and evaluate deceptive speech; otherwise they will be vulnerable to manipulation by malevolent humans. More surprisingly, we argue that effective social robots must also be able to produce deceptive speech. Many forms of technically deceptive speech perform a positive pro-social function, and the social integration of artificial agents will be possible only if they participate in this market of constructive deceit. We demonstrate that a crucial condition for detecting and producing deceptive speech is possession of a theory of mind. Furthermore, strategic reasoning about deception requires identifying a type of goal distinguished by its priority over the norms of conversation, which we call an ulterior motive. We argue that this goal is the appropriate target for ethical evaluation, not the veridicality of speech per se. Consequently, deception-capable robots are compatible with the most prominent programs to ensure that robots behave ethically.
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Book chapters on the topic "Conversational social agents"

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Bickmore, Timothy, and Justine Cassell. "Social Dialongue with Embodied Conversational Agents." In Advances in Natural Multimodal Dialogue Systems. Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3933-6_2.

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van der Zwaan, Janneke M., Virginia Dignum, and Catholijn M. Jonker. "Social Support Strategies for Embodied Conversational Agents." In Emotion Modeling. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12973-0_8.

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van der Zwaan, Janneke M., Virginia Dignum, and Catholijn M. Jonker. "A Conversational Agent for Social Support: Validation of Supportive Dialogue Sequences." In Intelligent Virtual Agents. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33197-8_58.

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Klüwer, Tina. "“I Like Your Shirt” - Dialogue Acts for Enabling Social Talk in Conversational Agents." In Intelligent Virtual Agents. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23974-8_2.

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van Straalen, Bart, Dirk Heylen, Mariët Theune, and Anton Nijholt. "Enhancing Embodied Conversational Agents with Social and Emotional Capabilities." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-11198-3_7.

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Chattaraman, Veena, Wi-Suk Kwon, Juan Gilbert, and Shelby Darnell. "Locus of Control in Conversational Agent Design: Effects on Older Users’ Interactivity and Social Presence." In Intelligent Virtual Agents. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33197-8_53.

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Miyamoto, Tomoki, Daisuke Katagami, and Mayumi Usami. "A Politeness Control Method for Conversational Agents Considering Social Relationships with Users." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73113-7_22.

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Wölfel, Matthias. "Towards the Automatic Generation of Pedagogical Conversational Agents from Lecture Slides." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82565-2_18.

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Ali Mehenni, Hugues, Sofiya Kobylyanskaya, Ioana Vasilescu, and Laurence Devillers. "Nudges with Conversational Agents and Social Robots: A First Experiment with Children at a Primary School." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8395-7_19.

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van Turnhout, Koen, Jacques Terken, and Berry Eggen. "Designing Socially Aware Conversational Agents." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69369-7_29.

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Conference papers on the topic "Conversational social agents"

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Case, J. Eric, and Nathan W. Twyman. "Embodied Conversational Agents: Social or Nonsocial?" In 2015 48th Hawaii International Conference on System Sciences (HICSS). IEEE, 2015. http://dx.doi.org/10.1109/hicss.2015.65.

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Subagdja, Budhitama, Han Yi Tay, and Ah-Hwee Tan. "Who Am I?: Towards Social Self-Awareness for Intelligent Agents." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/606.

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Most of today's AI technologies are geared towards mastering specific tasks performance through learning from a huge volume of data. However, less attention has still been given to make the AI understand its own purposes or be responsible socially. In this paper, a new model of agent is presented with the capacity to represent itself as a distinct individual with identity, a mind of its own, unique experiences, and social lives. In this way, the agent can interact with its surroundings and other agents seamlessly and meaningfully. A practical framework for developing an agent architecture with this model of self and self-awareness is proposed allowing self to be ascribed to an existing intelligent agent architecture in general to enable its social ability, interactivity, and co-presence with others. Possible applications are discussed with some exemplifying cases based on an implementation of a conversational agent.
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Porcheron, Martin, Joel E. Fischer, Moira McGregor, et al. "Talking with Conversational Agents in Collaborative Action." In CSCW '17: Computer Supported Cooperative Work and Social Computing. ACM, 2017. http://dx.doi.org/10.1145/3022198.3022666.

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Romero, Oscar J., Ran Zhao, and Justine Cassell. "Cognitive-Inspired Conversational-Strategy Reasoner for Socially-Aware Agents." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/532.

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In this work we propose a novel module for a dialogue system that allows a conversational agent to utter phrases that do not just meet the system's task intentions, but also work towards achieving the system's social intentions. The module - a Social Reasoner - takes the task goals the system must achieve and decides the appropriate conversational style and strategy with which the dialogue system describes the information the user desires so as to boost the strength of the relationship between the user and system (rapport), and therefore the user's engagement and willingness to divulge the information the agent needs to efficiently and effectively achieve the user's goals. Our Social Reasoner is inspired both by analysis of empirical data of friends and stranger dyads engaged in a task, and by prior literature in fields as diverse as reasoning processes in cognitive and social psychology, decision-making, sociolinguistics and conversational analysis. Our experiments demonstrated that, when using the Social Reasoner in a Dialogue System, the rapport level between the user and system increases in more than 35% in comparison with those cases where no Social Reasoner is used.
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Bruijnes, Merijn. "Social and Emotional Turn Taking for Embodied Conversational Agents." In 2012 International Conference on Privacy, Security, Risk and Trust (PASSAT). IEEE, 2012. http://dx.doi.org/10.1109/socialcom-passat.2012.29.

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Satyanarayana, Vibha, Shruthi Shankar, V. Sruthi, and Bhaskarjyoti Das. "A Study of Artificial Social Intelligence in Conversational Agents." In 2018 3rd International Conference on Inventive Computation Technologies (ICICT). IEEE, 2018. http://dx.doi.org/10.1109/icict43934.2018.9034313.

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Mell, Johnathan. "Human-Like Agents for Repeated Negotiation." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/754.

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Virtual agents have been used as tools in negotiation—from acting as mediators to manifesting as full-fledged conversational partners. Virtual agents are a powerful tool for teaching negotiation skills, but require an accurate model of human behavior to perform well both as partners and teachers. The work proposed here aims to expand the current horizon of virtual negotiating agents to utilize human-like strategies. Further agents developed using this framework should be cognizant of the social factors influencing negotiation, including reputation effects and the implications of long-term repeated relationships. A roadmap of current efforts to develop agent platforms and future expansions is discussed.
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Chaminade, Thierry, Birgit Rauchbauer, Bruno Nazarian, Morgane Bourhis, Magalie Ochs, and Laurent Prévot. "Brain Neurophysiology to Objectify the Social Competence of Conversational Agents." In HAI '18: 6th International Conference on Human-Agent Interaction. ACM, 2018. http://dx.doi.org/10.1145/3284432.3287177.

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Sannon, Shruti, Brett Stoll, Dominic DiFranzo, Malte Jung, and Natalya N. Bazarova. "How Personification and Interactivity Influence Stress-Related Disclosures to Conversational Agents." In CSCW '18: Computer Supported Cooperative Work and Social Computing. ACM, 2018. http://dx.doi.org/10.1145/3272973.3274076.

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Chaminade, Thierry, Birgit Rauchbauer, Bruno Nazarian, Morgane Bourhis, Magalie Ochs, and Laurent Prévot. "Investigating the dimensions of conversational agents' social competence using objective neurophysiological measurements." In the International Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3281151.3281162.

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