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Lessons learned in modeling schizophrenic and depressed responsive virtual humans for training

Published: 12 January 2003 Publication History
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  • Abstract

    This paper describes lessons learned in developing the linguistic, cognitive, emotional, and gestural models underlying virtual human behavior in a training application designed to train civilian police officers how to recognize gestures and verbal cues indicating different forms of mental illness and how to verbally interact with the mentally ill. Schizophrenia, paranoia, and depression were all modeled for the application. For linguistics, the application has quite complex language grammars that captured a range of syntactic structures and semantic categories. For cognition, there is a great deal of augmentation to a plan-based transition network needed to model the virtual humans knowledge. For emotions and gestures, virtual human behavior is based on expert-validated mapping tables specific to each mental illness. The paper presents five areas demanding continued research to improve virtual human behavior for use in training applications

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    cover image ACM Conferences
    IUI '03: Proceedings of the 8th international conference on Intelligent user interfaces
    January 2003
    344 pages
    ISBN:1581135866
    DOI:10.1145/604045
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    Publication History

    Published: 12 January 2003

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    Author Tags

    1. agents
    2. behavior modeling
    3. interaction skills training
    4. managing encounters with the mentally ill
    5. responsive virtual humans

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    • (2014)An Eye Tracking Evaluation of a Virtual Pediatric Patient Training System for NursesIntelligent Virtual Agents10.1007/978-3-319-09767-1_43(329-338)Online publication date: 2014
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