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

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 o...

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Detalles Bibliográficos
Autores principales: van der Zee, Sophie, Poppe, Ronald, Taylor, Paul J., Anderson, Ross
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461255/
https://www.ncbi.nlm.nih.gov/pubmed/30978207
http://dx.doi.org/10.1371/journal.pone.0215000
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author van der Zee, Sophie
Poppe, Ronald
Taylor, Paul J.
Anderson, Ross
author_facet van der Zee, Sophie
Poppe, Ronald
Taylor, Paul J.
Anderson, Ross
author_sort van der Zee, Sophie
collection PubMed
description 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.
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spelling pubmed-64612552019-05-03 To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit van der Zee, Sophie Poppe, Ronald Taylor, Paul J. Anderson, Ross PLoS One Research Article 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. Public Library of Science 2019-04-12 /pmc/articles/PMC6461255/ /pubmed/30978207 http://dx.doi.org/10.1371/journal.pone.0215000 Text en © 2019 van der Zee et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
van der Zee, Sophie
Poppe, Ronald
Taylor, Paul J.
Anderson, Ross
To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit
title To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit
title_full To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit
title_fullStr To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit
title_full_unstemmed To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit
title_short To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit
title_sort to freeze or not to freeze: a culture-sensitive motion capture approach to detecting deceit
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461255/
https://www.ncbi.nlm.nih.gov/pubmed/30978207
http://dx.doi.org/10.1371/journal.pone.0215000
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