To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 26 07 2018
accepted: 25 03 2019
entrez: 13 4 2019
pubmed: 13 4 2019
medline: 21 12 2019
Statut: epublish

Résumé

We present a new signal for detecting deception: full body motion. Previous work on detecting deception from body movement has relied either on human judges or on specific gestures (such as fidgeting or gaze aversion) that are coded by humans. While this research has helped to build the foundation of the field, results are often characterized by inconsistent and contradictory findings, with small-stakes lies under lab conditions detected at rates little better than guessing. We examine whether a full body motion capture suit, which records the position, velocity, and orientation of 23 points in the subject's body, could yield a better signal of deception. Interviewees of South Asian (n = 60) or White British culture (n = 30) were required to either tell the truth or lie about two experienced tasks while being interviewed by somebody from their own (n = 60) or different culture (n = 30). We discovered that full body motion-the sum of joint displacements-was indicative of lying 74.4% of the time. Further analyses indicated that including individual limb data in our full body motion measurements can increase its discriminatory power to 82.2%. Furthermore, movement was guilt- and penitential-related, and occurred independently of anxiety, cognitive load, and cultural background. It appears that full body motion can be an objective nonverbal indicator of deceit, showing that lying does not cause people to freeze.

Identifiants

pubmed: 30978207
doi: 10.1371/journal.pone.0215000
pii: PONE-D-18-22124
pmc: PMC6461255
doi:

Types de publication

Clinical Trial Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0215000

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Sophie van der Zee (S)

Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Computer Laboratory, University of Cambridge, Cambridge, United Kingdom.

Ronald Poppe (R)

Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands.

Paul J Taylor (PJ)

Psychology, Lancaster University, Lancaster, United Kingdom.
Psychology, University of Twente, Enschede, The Netherlands.

Ross Anderson (R)

Computer Laboratory, University of Cambridge, Cambridge, United Kingdom.

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Classifications MeSH