Dynamic generation of human-populated VR models for workspace ergonomic evaluation
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
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As digital human animation and simulation systems are coming into widespread use, scenario designers and digital animators must introduce specific tasks, procedures and animation sequences into a digital human's repertoire of capabilities. The parameterized action representation (PAR) architecture allows the animator to introduce dynamic behaviors through natural language instructions. However, this architecture lacks any natural language feedback which would allow the animator to deal with inconsistencies, incompleteness and conflicts within the behavior. In this paper we introduce an extension to a typical PAR architecture that provides that natural language feedback mechanism and define a set of task oriented discourses (TOD) that allow this mechanism to be used in synthesizing and managing behaviors. We demonstrate our behavior development techniques in two applications. Copyright © 2004 John Wiley & Sons, Ltd.