An Approach for Intent Identification by Building on Deception Detection

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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-ofconcept studies exploring nonverbal communication within the context of deception detection and intent analysis are shared.

Judee K. Burgoon, Mark Adkins, John Kruse, Matthew

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Biometrics | Deception Detection | HICSS 2005 | Intent Analysis | Intent Detection | System Sciences |

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Added	24 Jun 2010
Updated	24 Jun 2010
Type	Conference
Year	2005
Where	HICSS
Authors	Judee K. Burgoon, Mark Adkins, John Kruse, Matthew L. Jensen, Thomas O. Meservy, Douglas P. Twitchell, Amit V. Deokar, Jay F. Nunamaker, Shan Lu, Gabriel Tsechpenakis, Dimitris N. Metaxas, Robert Younger

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An Approach for Intent Identification by Building on Deception Detection

Biometrics | Deception Detection | HICSS 2005 | Intent Analysis | Intent Detection | System Sciences |

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