Literature DB >> 19242785

Police lie detection accuracy: the effect of lie scenario.

Maureen O'Sullivan1, Mark G Frank, Carolyn M Hurley, Jaspreet Tiwana.   

Abstract

Although most people are not better than chance in detecting deception, some groups of police professionals have demonstrated significant lie detection accuracy. One reason for this difference may be that the types of lies police are asked to judge in scientific experiments often do not represent the types of lies they see in their profession. Across 23 studies, involving 31 different police groups in eight countries, police officers tested with lie detection scenarios using high stakes lies (i.e., the lie was personally involving and/or resulted in substantial rewards or punishments for the liar) were significantly more accurate than law enforcement officials tested with low stakes lies. Face validity and construct validity of various lie scenarios are differentiated.

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Year:  2009        PMID: 19242785     DOI: 10.1007/s10979-008-9166-4

Source DB:  PubMed          Journal:  Law Hum Behav        ISSN: 0147-7307


  7 in total

1.  Effects of the duration of expressions on the recognition of microexpressions.

Authors:  Xun-bing Shen; Qi Wu; Xiao-lan Fu
Journal:  J Zhejiang Univ Sci B       Date:  2012-03       Impact factor: 3.066

2.  Micro-expression recognition model based on TV-L1 optical flow method and improved ShuffleNet.

Authors:  Yanju Liu; Yange Li; Xinhan Yi; Zuojin Hu; Huiyu Zhang; Yanzhong Liu
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

3.  Micro-Expression Recognition Based on Optical Flow and PCANet.

Authors:  Shiqi Wang; Suen Guan; Hui Lin; Jianming Huang; Fei Long; Junfeng Yao
Journal:  Sensors (Basel)       Date:  2022-06-05       Impact factor: 3.847

4.  Veracity judgement, not accuracy: Reconsidering the role of facial expressions, empathy, and emotion recognition training on deception detection.

Authors:  Mircea Zloteanu; Peter Bull; Eva G Krumhuber; Daniel C Richardson
Journal:  Q J Exp Psychol (Hove)       Date:  2020-12-17       Impact factor: 2.143

5.  Predicting Dishonesty When the Stakes Are High: Physiologic Responses During Face-to-Face Interactions Identifies Who Reneges on Promises to Cooperate.

Authors:  Paul J Zak; Jorge A Barraza; Xinbo Hu; Giti Zahedzadeh; John Murray
Journal:  Front Behav Neurosci       Date:  2022-02-01       Impact factor: 3.617

6.  I want to lie about not knowing you, but my precuneus refuses to cooperate.

Authors:  Tatia M C Lee; Mei-Kei Leung; Tiffany M Y Lee; Adrian Raine; Chetwyn C H Chan
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

7.  The Strategic Meaning of CBCA Criteria From the Perspective of Deceivers.

Authors:  Benjamin G Maier; Susanna Niehaus; Sina Wachholz; Renate Volbert
Journal:  Front Psychol       Date:  2018-06-08
  7 in total

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