Paper Info
Title
Towards Modeling the Interplay of Personality, Motivation, Emotion, and Mood in Social Agents
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.
Year
DOI
Venue
2019
10.5555/3306127.3332055
adaptive agents and multi-agents systems
Keywords
Field
DocType
Emotion,Mood,Personality,Motivation,Social Agents
Mood,Computer science,Coping (psychology),Cognitive psychology,Artificial intelligence,Social agents,Affect (psychology),Machine learning,Personality
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Maayan Shvo101.01
Jakob Buhmann200.34
Mubbasir Kapadia354658.07