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Mining Bodily Cues to Deception.
Poppe, Ronald; van der Zee, Sophie; Taylor, Paul J; Anderson, Ross J; Veltkamp, Remco C.
Afiliación
  • Poppe R; Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands.
  • van der Zee S; Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands.
  • Taylor PJ; Erasmus School of Law, Erasmus University Rotterdam, Rotterdam, The Netherlands.
  • Anderson RJ; Psychology, Lancaster University, Lancaster, UK.
  • Veltkamp RC; Psychology, University of Twente, Enschede, The Netherlands.
J Nonverbal Behav ; 48(1): 137-159, 2024.
Article en En | MEDLINE | ID: mdl-38566623
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Nonverbal Behav Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Nonverbal Behav Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos