A Functional Test Bed for Producing Virtual Human's Human-Like Movement Based on Limited Perception

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In this paper, the movement behavior of a virtual human based on realistically limited perception (RLP) is proposed to be human-like. As an interface between perception and movement-path generation, a mapping module is a fundamental component needed by a virtual human. Research of the mapping based on RLP was performed by Hill et al. However, their research was conducted using only a camera’s view point. In this present research, a virtual human’s integration with Hill et al’s mapping and other variables (e.g., enemy emergence) is considered in the context of a reconnaissance mission. The loci of the movement paths that were generated by human subjects and a virtual human based on RLP are compared with each other.

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3251-3255

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] P. Kenny, A. Hartholt, J. Gratch, W. Swartout, D. Traum, S. Marsella, and D. Piepol, Building Interactive Virtual Humans for Training Environment, I/ITSEC, Orlando, FL, November (2007).

Google Scholar

[2] A. Rizzo, K. Graap, K. Perlman, R. McLay, O. Rothbaum, G. Reger, T. Parsons, J. Difede, and J. Pair, Virtual Iraq: Initial Results from a VR Exposure Therapy Application for Combat-Related PTSD, Medicine Meets Virtual Reality 16 (2008).

DOI: 10.1109/icvr.2007.4362152

Google Scholar

[3] D. E. Sidran, The Current State of Human-Level Artificial Intelligence in Computer Simulations and Wargames, University of Iowa, 22C290: 004 (2003).

Google Scholar

[4] W. Swartout, R. Hill, J. Gratch, L. Johnson, C. Kyriakakis, C. LaNore, R. Lindheim, S. Marsella, D. Miraglia, B. Moore, J. Morie, J. Rickel, M. Thiebaux, L. Tuch, R. Whitney, and J. Douglas, Toward the Holodeck: Integrating Graphics, Sound, Character and Story, Proceedings of the 5th Internatinoal Conference on Autonomous Agents, (2001).

DOI: 10.1145/375735.376390

Google Scholar

[5] B. J. Best, C. Lebiere, and K. C. Scarpinatto, Modeling Synthetic Opponents in MOUT Training Simulations Using the ACT-R Cognitive Architecture, Proceedings of the 11th Computer Generated Forces and Behavioral Representation, (2002).

Google Scholar

[6] E. Chown, S. Kaplan, and D. Kortencamp, Prototypes, Location, and Associative Networks (PLAN): Towards a Unified Theory of Cognitive Maps, Cognitive Science 19, 1 (1995).

DOI: 10.1207/s15516709cog1901_1

Google Scholar

[7] B. Kuipers, The Spatial Semantic Hierarchy, Artificial Intelligence 119, 191 (2000).

Google Scholar

[8] W. K. Yeap and M. E. Jefferies, Computing a Representation of the Local Environment, Artificial Intelligence 107, 297 (1999).

Google Scholar

[9] R. W. Hill, C. Han, and M. van Lent, Applying Perceptually Driven Cognitive Mapping to Virtual Urban Environments, AI Magazine 23(4), 69 (2002).

DOI: 10.21236/ada460290

Google Scholar

[10] D. Marr, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information, W. H. Freeman Publishers, San Francisco (1982).

Google Scholar