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The Analysis of Nonverbal Communication: The Dangers of Pseudoscience in Security and Justice Contexts
Journal article   Open access   Peer reviewed

The Analysis of Nonverbal Communication: The Dangers of Pseudoscience in Security and Justice Contexts

Vincent Denault, Pierrich Plusquellec, Louise M. Jupe, Michel St-Yves, Norah E. Dunbar, Maria Hartwig, Siegfried L. Sporer, Jessica Rioux-Turcotte, Jonathan Jarry, Dave Walsh, …
Anuario de psicología jurídica (Madrid, España), Vol.30(1), pp.1-12
2020
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Published (Version of Record)CC BY-NC-ND V4.0 Open Access
url
https://doi.org/10.5093/apj2019a9View
Published (Version of Record) Open

Abstract

Government & Law Law Psychology Psychology, Multidisciplinary Social Sciences
For security and justice professionals (e.g., police officers, lawyers, judges), the thousands of peer-reviewed articles on nonverbal communication represent important sources of knowledge. However, despite the scope of the scientific work carried out on this subject, professionals can turn to programs, methods, and approaches that fail to reflect the state of science. The objective of this article is to examine (i) concepts of nonverbal communication conveyed by these programs, methods, and approaches, but also (ii) the consequences of their use (e.g., on the life or liberty of individuals). To achieve this objective, we describe the scope of scientific research on nonverbal communication. A program (SPOT; Screening of Passengers by Observation Techniques), a method (the BAI; Behavior Analysis Interview) and an approach (synergology) that each run counter to the state of science are examined. Finally, we outline five hypotheses to explain why some organizations in the fields of security and justice are turning to pseudoscience and pseudoscientific techniques. We conclude the article by inviting these organizations to work with the international community of scholars who have scientific expertise in nonverbal communication and lie (and truth) detection to implement evidence-based practices.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#16 Peace, Justice and Strong Institutions

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.7 Neuroscanning
1.7.2100 Deception Detection
Web Of Science research areas
Law
Psychology, Multidisciplinary
ESI research areas
Psychiatry/Psychology
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