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

Maayan Shvo, Jakob Buhmann, Mubbasir Kapadia

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

3 Scopus citations

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.

Original languageAmerican English
Title of host publicationIVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents
PublisherAssociation for Computing Machinery, Inc
Pages65-72
Number of pages8
ISBN (Electronic)9781450366724
DOIs
StatePublished - Jul 1 2019
Event19th ACM International Conference on Intelligent Virtual Agents, IVA 2019 - Paris, France
Duration: Jul 2 2019Jul 5 2019

Publication series

NameIVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents

Conference

Conference19th ACM International Conference on Intelligent Virtual Agents, IVA 2019
Country/TerritoryFrance
CityParis
Period7/2/197/5/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

Keywords

  • Intelligent Virtual Agent
  • Model of Affect

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