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A cognitive approach to lie detection: A meta‐analysis
Author(s) -
Vrij Aldert,
Fisher Ronald P.,
Blank Hartmut
Publication year - 2017
Publication title -
legal and criminological psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.65
H-Index - 57
eISSN - 2044-8333
pISSN - 1355-3259
DOI - 10.1111/lcrp.12088
Subject(s) - lie detection , cognition , psychology , detection theory , cognitive psychology , computer science , artificial intelligence , social psychology , detector , deception , psychiatry , telecommunications
This article provides a meta‐analysis of a new, cognitive approach to (non‐)verbal lie detection. This cognitive lie detection approach consists of three techniques: (1) imposing cognitive load, (2) encouraging interviewees to say more, and (3) asking unexpected questions. Method A meta‐analysis was carried out on studies using the cognitive approach, 14 of which directly compared the cognitive approach to a standard approach. Results The cognitive lie detection approach produced superior accuracy results in truth detection (67%), lie detection (67%), and total detection (truth and lie detection combined, 71%) compared to a traditional standard approach (truth detection: 57%; lie detection: 47%; total detection: 56%). Conclusions Practitioners may find it useful to use a cognitive lie detection approach in their daily practice.