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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 articlepeer-review

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)
Pages (from-to)21
Number of pages1
JournalProceedings of the Annual Hawaii International Conference on System Sciences
StatePublished - 2005
Event38th Annual Hawaii International Conference on System Sciences - Big Island, HI, United States
Duration: Jan 3 2005Jan 6 2005

ASJC Scopus subject areas

  • General Engineering

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