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Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1
Big Island, Hawaii
January 03-January 06
ISBN: 0-7695-2268-8
Judee Burgoon, University of Arizona
Mark Adkins, University of Arizona
John Kruse, University of Arizona
Matthew L. Jensen, University of Arizona
Thomas Meservy, University of Arizona
Douglas P. Twitchell, University of Arizona
Amit Deokar, University of Arizona
Jay F. Nunamaker, University of Arizona
Shan Lu, Rutgers University
Gabriel Tsechpenakis, Rutgers University
Dimitris N. Metaxas, Rutgers University
Robert E. Younger, Space and Naval Warfare Systems Center
Past research in deception detection at the University of Arizona has guided the investigation of intent detection. A theoretical foundation and model for the analysis of intent detection is proposed. Available test beds for intent analysis are discussed and two proof-of-concept studies exploring nonverbal communication within the context of deception detection and intent analysis are shared.
Citation:
Judee Burgoon, Mark Adkins, John Kruse, Matthew L. Jensen, Thomas Meservy, Douglas P. Twitchell, Amit Deokar, Jay F. Nunamaker, Shan Lu, Gabriel Tsechpenakis, Dimitris N. Metaxas, Robert E. Younger, "An Approach for Intent Identification by Building on Deception Detection," hicss, vol. 1, pp.21a, Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1, 2005
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