An Integrative Framework for Time-Varying Affective Agent Behavior

L. Moshkina (USA)

Keywords

Affective modeling, behavior-based autonomous systems.

Abstract

Recent findings suggest that humans treat computers in a social way. Affect lies at the core of our social behavior; therefore, to capture this social nature of human interaction with computers and to provide a systematic way of including affect into such systems, we propose TAME - an integrative framework of affective agent behavior. This paper describes psychological and mathematical foundations for each of the TAME components: personality Traits, Attitudes, Moods and Emotions. An experiment to assess effectiveness of the proposed framework is also presented.

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