Goldsmiths Psychology Department Seminar Series
People make for poor lie detectors. We perform at around chance rates, training helps little, and to make matters worse, we tend to believe others are telling the truth more often than they actually are. Traditionally, this has been seen as evidence of people’s gullibility and lack of deliberation. But the Adaptive Lie Detector theory (ALIED: Street, 2015) takes a more optimistic view. ALIED argues people make adaptive judgments based on the quality and availability of evidence. In most circumstances, this will result in low accuracy and a bias to believe. In this talk I will present data testing the theory, outlay some yet-to-be tested predictions, and consider how ALIED may be leveraged to increase lie detection accuracy.
Chris Street is director of the Social Conflict Lab at the University of Huddersfield (http://www.conflictlab.org). He has published on issues around deception, cheating, eye tracking, and visual perception. He completed his PhD at UCL and conducted his postdoctoral work at University of British Columbia, Vancouver. Chris microblogs about deception on Twitter (@SpottingLies).
Dates & times
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