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A Metascientific Empirical Review of Cognitive Load Lie Detection

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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A Metascientific Empirical Review of Cognitive Load Lie Detection. / Neequaye, David A.
In: Collabra: Psychology, Vol. 8, No. 1, 57508, 14.12.2022.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Neequaye, DA 2022, 'A Metascientific Empirical Review of Cognitive Load Lie Detection', Collabra: Psychology, vol. 8, no. 1, 57508. https://doi.org/10.1525/collabra.57508

APA

Neequaye, D. A. (2022). A Metascientific Empirical Review of Cognitive Load Lie Detection. Collabra: Psychology, 8(1), Article 57508. https://doi.org/10.1525/collabra.57508

Vancouver

Neequaye DA. A Metascientific Empirical Review of Cognitive Load Lie Detection. Collabra: Psychology. 2022 Dec 14;8(1):57508. doi: 10.1525/collabra.57508

Author

Neequaye, David A. / A Metascientific Empirical Review of Cognitive Load Lie Detection. In: Collabra: Psychology. 2022 ; Vol. 8, No. 1.

Bibtex

@article{6fe425f3cc4e435cba3c9fbba0cf0a2c,
title = "A Metascientific Empirical Review of Cognitive Load Lie Detection",
abstract = "This article examines the cognitive load lie detection hypothesis. The idea that lying is more challenging than telling the truth—thus, imposing cognitive load can exacerbate the challenge liars face and expose lies. I reviewed 24 publications to flag derivation chains authors employ to justify the hypothesis. The findings indicate that authors recycle the same set of justifications but not systematically. That state of the literature shields cognitive load lie detection from severe testing in two ways. There is no clear justification to focus on when wanting to nominate or design severe tests. And the justifications contain ambiguities that make it challenging to determine what would count as a severe test of the hypothesis. I illustrate those limitations and discuss the need to make cognitive load lie detection amenable to severe testing.",
keywords = "cognitive load, investigative interviewing, lie detection, lying, truth-telling, derivation chain, severe-testing",
author = "Neequaye, {David A.}",
year = "2022",
month = dec,
day = "14",
doi = "10.1525/collabra.57508",
language = "English",
volume = "8",
journal = "Collabra: Psychology",
issn = "2474-7394",
publisher = "University of California Press",
number = "1",

}

RIS

TY - JOUR

T1 - A Metascientific Empirical Review of Cognitive Load Lie Detection

AU - Neequaye, David A.

PY - 2022/12/14

Y1 - 2022/12/14

N2 - This article examines the cognitive load lie detection hypothesis. The idea that lying is more challenging than telling the truth—thus, imposing cognitive load can exacerbate the challenge liars face and expose lies. I reviewed 24 publications to flag derivation chains authors employ to justify the hypothesis. The findings indicate that authors recycle the same set of justifications but not systematically. That state of the literature shields cognitive load lie detection from severe testing in two ways. There is no clear justification to focus on when wanting to nominate or design severe tests. And the justifications contain ambiguities that make it challenging to determine what would count as a severe test of the hypothesis. I illustrate those limitations and discuss the need to make cognitive load lie detection amenable to severe testing.

AB - This article examines the cognitive load lie detection hypothesis. The idea that lying is more challenging than telling the truth—thus, imposing cognitive load can exacerbate the challenge liars face and expose lies. I reviewed 24 publications to flag derivation chains authors employ to justify the hypothesis. The findings indicate that authors recycle the same set of justifications but not systematically. That state of the literature shields cognitive load lie detection from severe testing in two ways. There is no clear justification to focus on when wanting to nominate or design severe tests. And the justifications contain ambiguities that make it challenging to determine what would count as a severe test of the hypothesis. I illustrate those limitations and discuss the need to make cognitive load lie detection amenable to severe testing.

KW - cognitive load

KW - investigative interviewing

KW - lie detection

KW - lying

KW - truth-telling

KW - derivation chain

KW - severe-testing

U2 - 10.1525/collabra.57508

DO - 10.1525/collabra.57508

M3 - Journal article

VL - 8

JO - Collabra: Psychology

JF - Collabra: Psychology

SN - 2474-7394

IS - 1

M1 - 57508

ER -