An Approach for Intent Identification by Building on Deception Detection

  • Authors:
  • 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

  • Affiliations:
  • University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;University of Arizona;Rutgers University;Rutgers University;Rutgers University;Space and Naval Warfare Systems Center

  • Venue:
  • HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
  • Year:
  • 2005

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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.