Activities per year
Abstract
This chapter promotes a shift towards a theory-driven approach to lie detection research. It does so by exploring why people show a bias to believe and disbelieve others. The adaptive lie detector theory, or ALIED, claims that these biases are adaptive and functional, rather than a sign of error. Recent tests of ALIED theory are briefly reviewed. Then, novel predictions are made ahead of the data, and research streams that naturally arise from ALIED are discussed. Finally, we conclude with a call to researchers to develop theories that produce novel predictions – regardless of whether they stand the test of time.
Original language | English |
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Title of host publication | Palgrave Handbook of Deceptive Communication |
Editors | Tony Docan-Morgan |
Pages | 227-247 |
Number of pages | 21 |
ISBN (Electronic) | 9783319963341 |
DOIs | |
Publication status | Published - 16 May 2019 |
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Dive into the research topics of 'Understanding lie detection biases with the Adaptive Lie Detector theory (ALIED): A boundedly rational approach'. Together they form a unique fingerprint.Activities
- 1 Invited talk
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Adaptive Lie Detector: How People Try (But Fail) to Tell Lies
Chris Street (Speaker)
30 Jan 2017Activity: Talk or presentation types › Invited talk
Press/Media
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Low success rate at detecting lies
Chris N. H. Street
24/01/19
1 item of Media coverage
Press/Media: Research