Chris Street c.street@keele.ac.uk
ALIED: Humans as adaptive lie detectors.
Street, Chris N. H.
Authors
Abstract
People make for poor lie detectors. They have accuracy rates comparable to a coin toss, and come with a set of systematic biases that sway the judgment. This pessimistic view stands in contrast to research showing that people make informed decisions that adapt to the context they operate in. The current article proposes a new theoretical direction for lie detection research. I argue that lie detectors make informed, adaptive judgments in a low-diagnostic world. This Adaptive Lie Detector (ALIED) account is outlined by drawing on supporting evidence from across various psychological literatures. The account is contrasted with longstanding and more recent accounts of the judgment process, which propose that people fall back on default ways of thinking. Limitations of the account are considered, and future research directions are outlined. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
Citation
Street, C. N. H. ALIED: Humans as adaptive lie detectors. Journal of Applied Research in Memory and Cognition, 4(4), 335-343. https://doi.org/10.1016/j.jarmac.2015.06.002
Journal Article Type | Article |
---|---|
Deposit Date | May 31, 2023 |
Journal | Journal of Applied Research in Memory and Cognition |
Print ISSN | 2211-3681 |
Electronic ISSN | 2211-3681 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 4 |
Issue | 4 |
Pages | 335-343 |
DOI | https://doi.org/10.1016/j.jarmac.2015.06.002 |
Keywords | Applied Psychology; Clinical Psychology; Experimental and Cognitive Psychology |
Additional Information | This article is maintained by: Elsevier; Article Title: ALIED: Humans as adaptive lie detectors; Journal Title: Journal of Applied Research in Memory and Cognition; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jarmac.2015.06.002; Content Type: article; Copyright: Copyright © 2015 Society for Applied Research in Memory and Cognition. Published by Elsevier Inc. All rights reserved. |
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