An approach for intent identification by building on deception detection

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

Research output: Contribution to journalConference article

21 Scopus citations

Abstract

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.

Original languageEnglish (US)
Number of pages1
JournalProceedings of the Annual Hawaii International Conference on System Sciences
StatePublished - Nov 10 2005
Externally publishedYes
Event38th Annual Hawaii International Conference on System Sciences - Big Island, HI, United States
Duration: Jan 3 2005Jan 6 2005

ASJC Scopus subject areas

  • Engineering(all)

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    Burgoon, J., Adkins, M., Kruse, J., Jensen, M. L., Meservy, T., Twitchell, D. P., Deokar, A., Nunamaker, J. F., Lu, S., Tsechpenakis, G., Metaxas, D. N., & Younger, R. E. (2005). An approach for intent identification by building on deception detection. Proceedings of the Annual Hawaii International Conference on System Sciences.