Mining Bodily Cues to Deception.
A significant body of research has investigated potential correlates of deception and bodily behavior. The vast majority of these studies consider discrete, subjectively coded bodily movements such as specific hand or head gestures. Such studies fail to consider quantitative aspects of body movement...
| Publicado en: | Journal of Nonverbal Behavior Vol. 48; no. 1; pp. 137 - 160 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Springer Nature
Mar2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=176353862&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 176353862 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 01915886 JNV jtl: Journal of Nonverbal Behavior issn: 01915886 maglogo: N pubinfo: dt: Mar2024 vid: 48 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 176353862 10.1007/s10919-023-00450-9 ppf: 137 ppct: 23 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Mining Bodily Cues to Deception. aug: au: Poppe, Ronald van der Zee, Sophie Taylor, Paul J. Anderson, Ross J. Veltkamp, Remco C. affil: https://ror.org/04pp8hn57 Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands https://ror.org/057w15z03 Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands https://ror.org/057w15z03 Erasmus School of Law, Erasmus University Rotterdam, Rotterdam, The Netherlands https://ror.org/04f2nsd36 Psychology, Lancaster University, Lancaster, UK https://ror.org/006hf6230 Psychology, University of Twente, Enschede, The Netherlands https://ror.org/013meh722 Computer Laboratory, University of Cambridge, Cambridge, UK https://ror.org/01nrxwf90 Security Engineering, School of Informatics Institute for Computing Systems Architecture, University of Edinburgh, Edinburgh, UK su: Interviewing Deception Body language Data mining Secondary analysis Research funding Digital video Medical coding Body movement Motion capture (Human mechanics) sug: subj: Interviewing Deception Body language Data mining Secondary analysis Research funding Digital video Medical coding Body movement Motion capture (Human mechanics) keyword: Body motion Motion capture Movement analysis Body motion Motion capture Movement analysis ab: A significant body of research has investigated potential correlates of deception and bodily behavior. The vast majority of these studies consider discrete, subjectively coded bodily movements such as specific hand or head gestures. Such studies fail to consider quantitative aspects of body movement such as the precise movement direction, magnitude and timing. In this paper, we employ an innovative data mining approach to systematically study bodily correlates of deception. We re-analyze motion capture data from a previously published deception study, and experiment with different data coding options. We report how deception detection rates are affected by variables such as body part, the coding of the pose and movement, the length of the observation, and the amount of measurement noise. Our results demonstrate the feasibility of a data mining approach, with detection rates above 65%, significantly outperforming human judgement (52.80%). Owing to the systematic analysis, our analyses allow for an understanding of the importance of various coding factor. Moreover, we can reconcile seemingly discrepant findings in previous research. Our approach highlights the merits of data-driven research to support the validation and development of deception theory. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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