Understanding lie detection biases with the Adaptive Lie Detector theory (ALIED): A boundedly rational approach

Chris N. H. Street, Jaume Masip, Megan Kenny

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationPalgrave Handbook of Deceptive Communication
EditorsTony Docan-Morgan
ISBN (Electronic)9783319963341
Publication statusPublished - 2019

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    Street, C. N. H., Masip, J., & Kenny, M. (2019). Understanding lie detection biases with the Adaptive Lie Detector theory (ALIED): A boundedly rational approach. In T. Docan-Morgan (Ed.), Palgrave Handbook of Deceptive Communication