research-article

An Interdependent Model of Personality, Motivation, Emotion, and Mood for Intelligent Virtual Agents

Authors:

Mubbasir KapadiaAuthors Info & Claims

IVA '19: Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents

Pages 65 - 72

https://doi.org/10.1145/3308532.3329474

Published: 01 July 2019 Publication History

Abstract

Building intelligent agents that can believably interact with humans is a difficult yet important task in a host of applications, including therapy, education, and entertainment. We submit that in order to enhance believability, the agent's affective state should be accurately modeled and should realistically influence the agent's behavior. We propose a computational model of affect which incorporates an empirically-based interplay between its various affective components - personality, motivation, emotion, and mood. Further, our model captures a number of salient mechanisms that are observable in humans and that influence the agent's behavior. We are therefore hopeful that our model will facilitate more engaging and meaningful human-agent interactions. We evaluate our model and illustrate its efficacy, as well as the importance of the different components in the model and their interplay.

References

[1]

Ruth S Aylett, Sandy Louchart, Joao Dias, Ana Paiva, and Marco Vala. 2005. FearNot!--An Experiment in Emergent Narrative. In International Workshop on Intelligent Virtual Agents. Springer, 305--316.

Digital Library

[2]

Christian Becker-Asano and Ipke Wachsmuth. 2010. Affective computing with primary and secondary emotions in a virtual human. Autonomous Agents and Multi-Agent Systems, Vol. 20, 1 (2010), 32.

Digital Library

[3]

Tibor Bosse, Matthijs Pontier, and Jan Treur. 2007. A dynamical system modelling approach to Gross' model of emotion regulation. In Proceedings of the 8th international conference on cognitive modeling, ICCM, Vol. 7. Taylor and Francis/Psychology Press, Oxford, UK, 187--192.

[4]

Sara E Boyd. 2010. A comparison of the Reiss profile with the NEO PI-R assessment of personality. (2010).

[5]

Justine Cassell, Joseph Sullivan, Elizabeth Churchill, and Scott Prevost. 2000. Embodied conversational agents .MIT press.

Digital Library

[6]

Edgar Cebolledo and Olga De Troyer. 2015. iATTAC: a system for autonomous agents and dynamic social interactions--the architecture. In Joint International Conference on Serious Games . Springer, 135--146.

[7]

Cristina Conati. 2002. Probabilistic assessment of user's emotions in educational games. Applied artificial intelligence, Vol. 16, 7--8 (2002), 555--575.

[8]

Filipa Ferrada and Luis M Camarinha-Matos. 2017. A system dynamics and agent-based approach to model emotions in collaborative networks. In Doctoral Conference on Computing, Electrical and Industrial Systems. Springer, 29--43.

[9]

Richard E Fikes and Nils J Nilsson. 1971. STRIPS: A new approach to the application of theorem proving to problem solving. Artificial intelligence, Vol. 2, 3--4 (1971), 189--208.

Digital Library

[10]

Matthew Flatt. 2010. PLT. Reference: Racket . Technical Report. Technical Report PLT-TR-2010--1, PLT Inc., 2010. http://racket-lang. org/tr1.

[11]

Patrick Gebhard. 2005. ALMA: a layered model of affect. In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems. ACM, 29--36.

Digital Library

[12]

Patrick Gebhard, Tanja Schneeberger, Tobias Baur, and Elisabeth André. 2018. MARSSI: Model of Appraisal, Regulation, and Social Signal Interpretation. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems . International Foundation for Autonomous Agents and Multiagent Systems, 497--506.

Digital Library

[13]

Jonathan Gratch. 2000. Emile: Marshalling passions in training and education. In Proceedings of the fourth international conference on Autonomous agents. ACM, 325--332.

Digital Library

[14]

Jonathan Gratch and Stacy Marsella. 2005. Evaluating a computational model of emotion. Autonomous Agents and Multi-Agent Systems, Vol. 11, 1 (2005), 23--43.

Digital Library

[15]

Leslie S Greenberg. 2015. Emotion-focused therapy: Coaching clients to work through their feelings .American Psychological Association.

[16]

Mei Yii Lim, Jo ao Dias, Ruth Aylett, and Ana Paiva. 2012. Creating adaptive affective autonomous NPCs. Autonomous Agents and Multi-Agent Systems, Vol. 24, 2 (2012), 287--311.

Digital Library

[17]

Marsha Linehan. 2014. DBT Skills Training Manual .Guilford Publications.

[18]

Thomas W Malone. 1981. Toward a theory of intrinsically motivating instruction. Cognitive science, Vol. 5, 4 (1981), 333--369.

[19]

Stacy Marsella, Jonathan Gratch, Paolo Petta, et almbox. 2010. Computational models of emotion. A Blueprint for Affective Computing-A sourcebook and manual, Vol. 11, 1 (2010), 21--46.

[20]

Stacy C Marsella and Jonathan Gratch. 2009. EMA: A process model of appraisal dynamics. Cognitive Systems Research, Vol. 10, 1 (2009), 70--90.

Digital Library

[21]

Robert R McCrae and Paul T Costa. 2003. Personality in adulthood: A five-factor theory perspective .Guilford Press.

[22]

Albert Mehrabian. 1978. Measures of individual differences in temperament. Educational and Psychological Measurement, Vol. 38, 4 (1978), 1105--1117.

[23]

Albert Mehrabian. 1996 a. Analysis of the big-five personality factors in terms of the PAD temperament model. Australian journal of Psychology, Vol. 48, 2 (1996), 86--92.

[24]

Albert Mehrabian. 1996 b. Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament. Current Psychology, Vol. 14, 4 (1996), 261--292.

[25]

Albert Mehrabian and Eric O'reilly. 1980. Analysis of personality measures in terms of basic dimensions of temperament. Journal of Personality and Social Psychology, Vol. 38, 3 (1980), 492.

[26]

Roland Neumann, Beate Seibt, and Fritz Strack. 2001. The influence of mood on the intensity of emotional responses: Disentangling feeling and knowing. Cognition & Emotion, Vol. 15, 6 (2001), 725--747.

[27]

Kenneth R Olson and Dale A Weber. 2004. Relations between big five traits and fundamental motives. Psychological Reports, Vol. 95, 3 (2004), 795--802.

[28]

Andrew Ortony, Gerald L Clore, and Allan Collins. 1990. The cognitive structure of emotions .Cambridge university press.

[29]

Rosalind Wright Picard et almbox. 1995. Affective computing. (1995).

[30]

Ricardo Pereira Ramos, Rogério Eduardo da Silva, and Juliane Cristine Koerber Reis. 2012. A Personality Model based on Reiss Motivational Profile for Autonomous Digital Actors. (2012).

[31]

Steven Reiss. 2004. Multifaceted nature of intrinsic motivation: The theory of 16 basic desires. Review of general psychology, Vol. 8, 3 (2004), 179.

[32]

Richard M Ryan and Edward L Deci. 2000. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American psychologist, Vol. 55, 1 (2000), 68.

[33]

Maayan Shvo, Jakob Buhmann, and Mubbasir Kapadia. 2019. Modeling the Interplay of Personality, Motivation, Emotion, and Mood in Social Agents (Extended Abstract). In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. International Foundation for Autonomous Agents and Multiagent Systems.

Digital Library

[34]

Mei Si. 2010. Thespian: a decision-theoretic framework for interactive narratives .University of Southern California.

[35]

Ron Sun. 2009. Motivational representations within a computational cognitive architecture. Cognitive Computation, Vol. 1, 1 (2009), 91--103.

Cited By

Ansari SPrasetya IDastani MDignum FKeller G(2024)EmoSTL: Formal Spatial-Temporal Verification of Emotion Specifications in Computer Games2024 IEEE Conference on Software Testing, Verification and Validation (ICST)10.1109/ICST60714.2024.00011(13-24)Online publication date: 27-May-2024
https://doi.org/10.1109/ICST60714.2024.00011
Stipancic TKoren LRosenberg DHarwood TBenic J(2024)PLEA: The Embodied Virtual BeingSocial Computing and Social Media10.1007/978-3-031-61281-7_18(266-275)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-61281-7_18
Chang CSohn SZhang SJayashankar RUsman MKapadia M(2023)The Importance of Multimodal Emotion Conditioning and Affect Consistency for Embodied Conversational AgentsProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584045(790-801)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584045
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Index Terms

An Interdependent Model of Personality, Motivation, Emotion, and Mood for Intelligent Virtual Agents
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

cover image ACM Conferences

IVA '19: Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents

July 2019

282 pages

ISBN:9781450366724

DOI:10.1145/3308532

General Chairs:
Catherine Pelachaud
CNRS-ISIR, Sorbonne Universite, France
,
Jean-Claude Martin
CNRS-LIMSI, Universite Paris Saclay, France
,
Program Chairs:
Hendrik Buschmeier
Bielefeld University, Germany
,
Gale Lucas
University of Southern California, USA
,
Stefan Kopp
Bielefeld University, Germany

Copyright © 2019 ACM.

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New York, NY, United States

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Published: 01 July 2019

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IVA '19

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SIGAI

IVA '19: ACM International Conference on Intelligent Virtual Agents

July 2 - 5, 2019

Paris, France

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IVA '19 Paper Acceptance Rate 15 of 63 submissions, 24%;

Overall Acceptance Rate 53 of 196 submissions, 27%

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Cited By

Ansari SPrasetya IDastani MDignum FKeller G(2024)EmoSTL: Formal Spatial-Temporal Verification of Emotion Specifications in Computer Games2024 IEEE Conference on Software Testing, Verification and Validation (ICST)10.1109/ICST60714.2024.00011(13-24)Online publication date: 27-May-2024
https://doi.org/10.1109/ICST60714.2024.00011
Stipancic TKoren LRosenberg DHarwood TBenic J(2024)PLEA: The Embodied Virtual BeingSocial Computing and Social Media10.1007/978-3-031-61281-7_18(266-275)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-61281-7_18
Chang CSohn SZhang SJayashankar RUsman MKapadia M(2023)The Importance of Multimodal Emotion Conditioning and Affect Consistency for Embodied Conversational AgentsProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584045(790-801)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584045
Shirvani AWare SBaker L(2023)Personality and Emotion in Strong-Story Narrative PlanningIEEE Transactions on Games10.1109/TG.2022.322722015:4(669-682)Online publication date: Dec-2023
https://doi.org/10.1109/TG.2022.3227220
Osuna EPadilla ERodríguez L(2023)Towards the construction of computational models of emotions from the perspective of a software systemCognitive Systems Research10.1016/j.cogsys.2022.12.00378(57-70)Online publication date: Mar-2023
https://doi.org/10.1016/j.cogsys.2022.12.003
Taveter KKirikal A(2023)Prototyping an Architecture of Affective Robotic Systems Based on the Theory of Constructed EmotionSocial Robotics10.1007/978-3-031-24667-8_49(558-575)Online publication date: 1-Feb-2023
https://doi.org/10.1007/978-3-031-24667-8_49
Benamara AMartin JPrigent EChaby LChetouani MZagdoun JVanderstichel HDacunha SRavenet BPelachaud CTaylor MFaliszewski PMascardi V(2022)COPALZ: A Computational Model of Pathological Appraisal Biases for an Interactive Virtual Alzheimer PatientProceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems10.5555/3535850.3535860(72-81)Online publication date: 9-May-2022
https://dl.acm.org/doi/10.5555/3535850.3535860
Islam MMukta MOlivier PRahman MMartinho CDias JCampos JHeylen D(2022)Comprehensive guidelines for emotion annotationProceedings of the 22nd ACM International Conference on Intelligent Virtual Agents10.1145/3514197.3549640(1-8)Online publication date: 6-Sep-2022
https://dl.acm.org/doi/10.1145/3514197.3549640
Thomas SFerstl YMcDonnell REnnis C(2022)Investigating how speech and animation realism influence the perceived personality of virtual characters and agents2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR51125.2022.00018(11-20)Online publication date: Mar-2022
https://doi.org/10.1109/VR51125.2022.00018
Smith GCarette J(2022)What Lies Beneath—A Survey of Affective Theory Use in Computational Models of EmotionIEEE Transactions on Affective Computing10.1109/TAFFC.2022.319745613:4(1793-1812)Online publication date: 1-Oct-2022
https://doi.org/10.1109/TAFFC.2022.3197456
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