EURASIP Journal on Image and Video Processing
Volume 2007 (2007), Article ID 48757, 12 pages
doi:10.1155/2007/48757
Research Article
Multispace Behavioral Model for Face-Based Affective Social Agents
1Carleton School of Information Technology, Carleton University, Ottawa K1S5B6, ON, Canada
2School of Interactive Arts & Technology, Simon Fraser University, Surrey V3TOA3, BC, Canada
Received 26 April 2006; Revised 4 October 2006; Accepted 22 December 2006
Recommended by Tim Cootes
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.