[PDF][PDF] A rigidity detection system for the guilty knowledge test
NW Twyman, A Elkins, JK Burgoon - HICSS-44 Symposium on Credibility …, 2011 - Citeseer
NW Twyman, A Elkins, JK Burgoon
HICSS-44 Symposium on Credibility Assessment and Information Quality in …, 2011•CiteseerRigidity has been found in prior research to discriminate between truthful and deceptive
responses. This study uses automated computer vision techniques to track minor, random
movement during a Guilty Knowledge Test (GKT) administered after a mock crime. Results
support behavioral control theory in that guilty individuals appeared to strategically
manipulate their behavior in an attempt to appear truthful. Overcompensation produced a
measurable, significant effect.
responses. This study uses automated computer vision techniques to track minor, random
movement during a Guilty Knowledge Test (GKT) administered after a mock crime. Results
support behavioral control theory in that guilty individuals appeared to strategically
manipulate their behavior in an attempt to appear truthful. Overcompensation produced a
measurable, significant effect.
Abstract
Rigidity has been found in prior research to discriminate between truthful and deceptive responses. This study uses automated computer vision techniques to track minor, random movement during a Guilty Knowledge Test (GKT) administered after a mock crime. Results support behavioral control theory in that guilty individuals appeared to strategically manipulate their behavior in an attempt to appear truthful. Overcompensation produced a measurable, significant effect.
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