Emotion, Personality, and Social Behavior
Papers from the AAAI Spring Symposium
Ian Horswill, Eva Hudlicka, Christine Lisetti, and Juan D. Velasquez, Cochairs
Recent years have witnessed increased interest in modeling emotion and personality in cognitive, agent and robot architectures. Increasingly, the focus has been on exploring the role of affective factors in social behavior. These include emotions, moods, personality traits, and attitudes. Researchers and practitioners in areas such as social robotics, game development, affective HCI, and synthetic agents are increasingly recognizing the importance of these affective factors in developing believable, realistic and robust agents, and effective human-machine interfaces.
The symposium explored topics such as the following:
- How do we understand the interactions between emotion, personality, and social behavior?
- What can they tell us about cognitive / cognitive-affective architecture?
- How can we make compelling artificial characters?
- How can we make systems that facilitate social interaction among humans or among humans and artificial characters?
- How can considerations of affective factors contribute to more effective human-computer interaction in general?
- How do intrapsychic cognition-emotion interactions manifest at the interpersonal level?
- Methods and techniques for more systematic approaches to design
- What are the best approaches to developing the necessary knowledge-bases?
- What are the best data sources for architecture development and validation?
- How can we validate models and architectures?
- What are the emerging standards in affective artificial characters, robots and systems?