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Computationally modeling human emotion

Authors:

Stacy Marsella,

Jonathan GratchAuthors Info & Claims

Communications of the ACM, Volume 57, Issue 12

Pages 56 - 67

https://doi.org/10.1145/2631912

Published: 26 November 2014 Publication History

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Abstract

Computer models of emotion inform theories of human intelligence and advance human-centric applications.

References

[1]

Armony, J.L., Servan-Schreiber, D., Cohen, J.D., and LeDoux, J.E. Computational modeling of emotion: Explorations through the anatomy and physiology of fear conditioning. Trends in Cognitive Science 1, 1 (Apr. 1997), 28--34.

Crossref

Google Scholar

[2]

Barrett, L.F. Are emotions natural kinds? Perspectives on Psychological Science 1, 1 (Apr. 2006), 28--58.

Crossref

Google Scholar

[3]

Bechara, A., Damásio, H., Damásio, A., and Lee, G. Different contributions of the human amygdala and ventromedial prefrontal cortex to decision making. Journal of Neuroscience 19, 13 (July 1, 1999), 5473--5481.

Crossref

Google Scholar

[4]

Becker-Asano, C. and Wachsmuth, I. Affect simulation with primary and secondary emotions. In Proceedings of the Eighth International Conference on Intelligent Virtual Agents (Tokyo). Springer, 2008, 15--28.

Digital Library

Google Scholar

[5]

Blanchard, A. and Cañamero, L. Developing affect-modulated behaviors: Stability, exploration, exploitation, or imitation? In Proceedings of the Sixth International Workshop on Epigenetic Robotics (Paris, 2006).

Google Scholar

[6]

Broekens, J. Modeling the experience of emotion. International Journal of Synthetic Emotions 1, 1 (Jan. 2010), 1--17.

Digital Library

Google Scholar

[7]

Broekens, J., Kosters, W.A., and Verbeek, F.J. On affect and self-adaptation: Potential benefits of valence-controlled action-selection. In Proceedings of the Second International Conference on Bio-inspired Modeling of Cognitive Tasks (Manga del Mar Menor, Spain). Springer, 2007, 357--366.

Digital Library

Google Scholar

[8]

Conati, C. and MacLaren, H. Evaluating a probabilistic model of student affect. In Proceedings of the Seventh International Conference on Intelligent Tutoring Systems (Maceio, Brazil, 2004).

Crossref

Google Scholar

[9]

Darwin, C. The Expression of the Emotions in Man and Animals, Third Edition. Oxford University Press, New York, 1998.

Google Scholar

[10]

de Melo, C., Gratch, J., and Carnevale, P.J. Reverse appraisal: Inferring from emotion displays who is the cooperator and the competitor in a social dilemma. In Proceedings of the Cognitive Science Conference (Boston, July 2011).

Google Scholar

[11]

DeSteno, D., Dasgupta, N., Bartlett, M.Y., and Cajdric, A. Prejudice from thin air. Psychological Science 15, 5 (May 2004), 319--324.

Crossref

Google Scholar

[12]

Dias, J. and Paiva, A. Feeling and reasoning: A computational model for emotional agents. In Proceedings of the 12^th Portuguese Conference on Artificial Intelligence (Covilhã, Portugal). Springer 2005, 127--140.

Digital Library

Google Scholar

[13]

Eisenberg, N., Fabes, R.A., Schaller, M., and Miller, P.A. Sympathy and personal distress: Development, gender differences, and interrelations of indexes. In Empathy and Related Emotional Responses New Directions in Child Development, N. Eisenberg, Ed. Jossey-Bass, San Francisco, CA, 1989, 107--126.

Google Scholar

[14]

Ekman, P. An argument for basic emotions. Cognition and Emotion 6, 3--4 (1992), 169--200.

Crossref

Google Scholar

[15]

Frank, R. Passions With Reason: The Strategic Role of the Emotions. W.W. Norton, New York, 1988.

Google Scholar

[16]

Gebhard, P. ALMA: A Layered Model of Affect. In Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (Utrecht, the Netherlands), 2005.

Digital Library

Google Scholar

[17]

Gratch, J. and Marsella, S. A domain-independent framework for modeling emotion. Journal of Cognitive Systems Research 5, 4 (Dec. 2004), 269--306.

Digital Library

Google Scholar

[18]

Ito, J.Y. and Marsella, S.C. Contextually based utility: An appraisal-based approach at modeling framing and decisions. In Proceedings of the 25^th AAAI Conference on Artificial Intelligence (San Francisco, Aug. 7--11). AAAI Press, 2011, 1442--1448.

Google Scholar

[19]

Ito, J.Y., Pynadath, D.V., and Marsella, S.C. Modeling self-deception within a decision-theoretic framework. Autonomous Agents and Multi-Agent Systems 20, 1 (May 2010), 3--13.

Digital Library

Google Scholar

[20]

Keltner, D., and Haidt, J. Social functions of emotions at four levels of analysis. Cognition and Emotion 13, 5 (1999), 505--521.

Crossref

Google Scholar

[21]

Lazarus, R.S. Emotion and Adaptation. Oxford University Press, New York, 1991.

Google Scholar

[22]

Lester, J.C., Towns, S.G., Callaway, C.B., Voerman, J.L., and FitzGerald, P.J. Deictic and emotive communication in animated pedagogical agents. In Embodied Conversational Agents, J. Cassell, S. Prevost, J. Sullivan, and E. Churchill, Eds. MIT Press, Cambridge, MA, 2000, 123--154.

Digital Library

Google Scholar

[23]

Mao, W. and Gratch, J. Evaluating a computational model of social causality and responsibility. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (Hakodate, Japan), 2006.

Digital Library

Google Scholar

[24]

Marsella, S. and Gratch, J. EMA: A process model of appraisal dynamics. Journal of Cognitive Systems Research 10, 1 (Mar. 2009), 70--90.

Digital Library

Google Scholar

[25]

Marsella, S. and Gratch, J. Modeling the interplay of plans and emotions in multi-agent simulations. In Proceedings of the 23^rd Annual Conference of the Cognitive Science Society (Edinburgh, Scotland, 2001).

Google Scholar

[26]

Marsella, S., Gratch, J., and Petta, P. Computational models of emotion. In A Blueprint for Affective Computing: A Sourcebook and Manual, K.R. Scherer, T. Bänziger, and E. Roesch, Eds. Oxford University Press, New York, 2010, 21--46.

Google Scholar

[27]

Marsella, S., Johnson, W.L., and LaBore, C. Interactive pedagogical drama. In Proceedings of the Fourth International Conference on Autonomous Agents (Montréal, Canada, 2000), 301--308.

Digital Library

Google Scholar

[28]

Mehrabian, A. and Russell, J.A. An Approach to Environmental Psychology. MIT Press, Cambridge, MA, 1974.

Google Scholar

[29]

Panskepp, J. Affective Neuroscience: The Foundations of Human and Animal Emotions. Oxford University Press, New York, 1998.

Google Scholar

[30]

Reisenzein, R. Exploring the strength of association between the components of emotion syndromes: The case of surprise. Cognition & Emotion 14, 1 (2000), 1--38.

Crossref

Google Scholar

[31]

Reisenzein, R., Hudlicka, E., Dastani, M., Gratch, J., Hindriks, K., Lorini, E., and Meyer, J.-J.C. Computational modeling of emotion: Toward improving the inter- and intradisciplinary exchange. IEEE Transactions on Affective Computing 4, 3 (July 2013), 242--245.

Digital Library

Google Scholar

[32]

Scherer, K.R. Appraisal considered as a process of multilevel sequential checking. In Appraisal Processes in Emotion: Theory, Methods, Research, K.R. Scherer, A. Schorr, and T. Johnstone, Eds. Oxford University Press, New York, 2001, 92--120.

Crossref

Google Scholar

[33]

Scheutz, M. and Sloman, A. Affect and agent control: Experiments with simple affective states. In Proceedings of the Second Asia-Pacific Conference on Intelligent Agent Technology (Maebashi City, Japan). World Scientific Publishing, 2001, 200--209.

Crossref

Google Scholar

[34]

Schwarz, N. and Clore, G.L. Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states. Journal of Personality and Social Psychology 45, 3 (Sept. 1983), 513--523.

Crossref

Google Scholar

[35]

Simon, H.A. Motivational and emotional controls of cognition. Psychological Review 74 (Jan. 1967), 29--39.

Crossref

Google Scholar

[36]

Staller, A. and Petta, P. Introducing emotions into the computational study of social norms: A first evaluation. Journal of Artificial Societies and Social Simulation 4, 1 (Jan. 2001), 27--60.

Google Scholar

[37]

Swartout, W., Gratch, J., Hill, R., Hovy, E., Marsella, S., Rickel, J., and Traum, D. Toward virtual humans. AI Magazine 27, 1 (2006).

Digital Library

Google Scholar

[38]

Traum, D., Swartout, W., Marsella, S., and Gratch, J. Fight, flight, or negotiate. In Proceedings of the Intelligent Virtual Agents Conference (Kos, Greece). Springer, 2005.

Digital Library

Google Scholar

[39]

Tversky, A. and Kahneman, D. The framing of decisions and the psychology of choice. Science 211, 4481 (Jan. 30, 1981), 453--458.

Crossref

Google Scholar

[40]

Zajonc, R.B. Feeling and thinking: Preferences need no inferences. American Psychologist 35 (Feb. 1980), 151--175.

Crossref

Google Scholar

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Gomes SRocha JDias JMartinho C(2024)Designing a Mood-Mediated Multi-Level ReasonerIEEE Transactions on Affective Computing10.1109/TAFFC.2023.329331015:3(787-798)Online publication date: 1-Jul-2024
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Index Terms

Computationally modeling human emotion
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
2. Computing methodologies
  1. Artificial intelligence
  2. Modeling and simulation

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Published In

Communications of the ACM Volume 57, Issue 12

December 2014

92 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2692965

Editor:
Moshe Y. Vardi
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 26 November 2014

Published in CACM Volume 57, Issue 12

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Karnati MSeal ABhattacharjee DYazidi AKrejcar O(2023)Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive SurveyIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.324366172(1-31)Online publication date: 2023
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Kim SAn CCha JKim DPark E(2023)D-ViSA: A Dataset for Detecting Visual Sentiment from Art Images2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW60793.2023.00328(3043-3051)Online publication date: 2-Oct-2023
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References

Cited By

Index Terms

Recommendations

Learning Human Emotion Patterns for Modeling Virtual Humans

Human emotion and the uncanny valley: a GLM, MDS, and Isomap analysis of robot video ratings

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