Towards modeling the interplay of personality, motivation, emotion, and mood in social agents

Maayan Shvo, Jakob Buhmann, Mubbasir Kapadia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Creating social agents that interact in believable ways is a challenging task. The agent's emotional state must be faithfully modeled and should influence its behavior. In this paper, we introduce a computational model of affect which incorporates an empirically-based interplay between its various affective components - personality, motivation, emotion, and mood. These affective components as well as the relations between them capture a number of important mechanisms that are observable in human beings (e.g., motivation driven planning, emotional reactions, or coping) and influence the agent's decision making. Further, these mechanisms, reflected in the agent's behavior, are integral to human-human interaction and are therefore likely to contribute to improved human-agent interaction. In a preliminary evaluation of our approach, we demonstrate the impact of the various components in the model and their interaction with one another on the agent's decision making and behavior, by showing that the agent displays disparate behavior with and without the inclusion of specific components in our model.

Original languageEnglish (US)
Title of host publication18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages2195-2197
Number of pages3
ISBN (Electronic)9781510892002
StatePublished - Jan 1 2019
Event18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 - Montreal, Canada
Duration: May 13 2019May 17 2019

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume4
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Country/TerritoryCanada
CityMontreal
Period5/13/195/17/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

Keywords

  • Emotion
  • Mood
  • Motivation
  • Personality
  • Social agents

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