Deceit detection via online behavioral learning

Authors:
Nisha Bhaskaran;Ifeoma Nwogu;Mark G. Frank;Venu Govindaraju
Affiliations:
University at Buffalo, Suny;University of Rochester;University at Buffalo, Suny;University at Buffalo, Suny
Venue:
Proceedings of the 2011 ACM Symposium on Applied Computing
Year:
2011

Citing 2
Cited 0

Imaging Facial Physiology for the Detection of Deceit

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Abstract

Behavioral Psychologists generally believe that deception causes physiological reactions such as high blood pressure, increased heart rate, and an increased respiration rate. The physiological reaction is the consequence of arousal that is associated with high-stake deception [1]. A high-stake lie is one told when the person lying stands to get a notable gain, or faces a notable loss by telling the truth.