Multispace Behavioral Model for Face-Based Affective Social Agents

  • Ali Arya1Email author and

    Affiliated with

    • Steve DiPaola2

      Affiliated with

      EURASIP Journal on Image and Video Processing20072007:048757

      DOI: 10.1155/2007/48757

      Received: 26 April 2006

      Accepted: 22 December 2006

      Published: 7 March 2007

      Abstract

      This paper describes a behavioral model for affective social agents based on three independent but interacting parameter spaces: knowledge, personality, and mood. These spaces control a lower-level geometry space that provides parameters at the facial feature level. Personality and mood use findings in behavioral psychology to relate the perception of personality types and emotional states to the facial actions and expressions through two-dimensional models for personality and emotion. Knowledge encapsulates the tasks to be performed and the decision-making process using a specially designed XML-based language. While the geometry space provides an MPEG-4 compatible set of parameters for low-level control, the behavioral extensions available through the triple spaces provide flexible means of designing complicated personality types, facial expression, and dynamic interactive scenarios.

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      Authors’ Affiliations

      (1)
      Carleton School of Information Technology, Carleton University
      (2)
      School of Interactive Arts & Technology, Simon Fraser University

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      Copyright

      © A. Arya and S. DiPaola. 2007

      This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.