Adaptive Lie Detector: How People Try (But Fail) to Tell Lies

Description

How can you tell a liar from a truth-teller? It's a tough task, and there are a lot of myths and misinformation propagated in books and on the internet. In this talk Dr. Chris Street (University of Huddersfield) will explore the science of lie detection. The traditional view has painted people as error-prone and highly inaccurate lie detectors. While there is some truth to this, ALIED theory (short for the Adaptive Lie Detector) argues that people are making smart and informed decisions about whether someone is lying or telling the truth. This theory gives some hints about how to increase lie detection accuracy.

Period	30 Jan 2017
Event title	Café Scientifique
Event type	Seminar
Location	Huddersfield, United KingdomShow on map
Degree of Recognition	Regional