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dc.contributor.authorAnderson, RJ
dc.contributor.authorvan der Zee, Sophie
dc.contributor.authorPoppe, Ronald
dc.contributor.authorTaylor, Paul J
dc.date.accessioned2019-04-17T23:31:47Z
dc.date.available2019-04-17T23:31:47Z
dc.date.issued2019
dc.identifier.issn1932-6203
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/291859
dc.description.abstractWe 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.
dc.description.sponsorshipThe research presented in this paper was part funded by the Centre for Research and Evidence on Security Threats, website: https://crestresearch.ac.uk/. Funding source: Economic and Social Research Council (ESRC) Award: ES/N009614/1 and EPSRC grant EP/K033476/1 by Ross Anderson.
dc.publisherPublic Library of Science (PLoS)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleTo freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit
dc.typeArticle
prism.issueIdentifier4
prism.numbere0215000
prism.publicationNamePLoS ONE
prism.volume14
dc.identifier.doi10.17863/CAM.39019
dcterms.dateAccepted2019-03-25
rioxxterms.versionofrecord10.1371/journal.pone.0215000
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.licenseref.startdate2019-03-25
dc.contributor.orcidAnderson, Ross [0000-0001-8697-5682]
dc.identifier.eissn1932-6203
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/K033476/1)
cam.issuedOnline2019-04-12


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International