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Comparing a Perceptual and an Automated Vision-Based Method for Lie Detection in Younger Children

The present study investigates how easily it can be detected whether a child is being truthful or not in a game situation, and it explores the cue validity of bodily movements for such type of classification. To achieve this, we introduce an innovative methodology – the combination of perception stu...

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Autores principales: Serras Pereira, Mariana, Cozijn, Reinier, Postma, Eric, Shahid, Suleman, Swerts, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5149550/
https://www.ncbi.nlm.nih.gov/pubmed/28018271
http://dx.doi.org/10.3389/fpsyg.2016.01936
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author Serras Pereira, Mariana
Cozijn, Reinier
Postma, Eric
Shahid, Suleman
Swerts, Marc
author_facet Serras Pereira, Mariana
Cozijn, Reinier
Postma, Eric
Shahid, Suleman
Swerts, Marc
author_sort Serras Pereira, Mariana
collection PubMed
description The present study investigates how easily it can be detected whether a child is being truthful or not in a game situation, and it explores the cue validity of bodily movements for such type of classification. To achieve this, we introduce an innovative methodology – the combination of perception studies (in which eye-tracking technology is being used) and automated movement analysis. Film fragments from truthful and deceptive children were shown to human judges who were given the task to decide whether the recorded child was being truthful or not. Results reveal that judges are able to accurately distinguish truthful clips from lying clips in both perception studies. Even though the automated movement analysis for overall and specific body regions did not yield significant results between the experimental conditions, we did find a positive correlation between the amount of movement in a child and the perception of lies, i.e., the more movement the children exhibited during a clip, the higher the chance that the clip was perceived as a lie. The eye-tracking study revealed that, even when there is movement happening in different body regions, judges tend to focus their attention mainly on the face region. This is the first study that compares a perceptual and an automated method for the detection of deceptive behavior in children whose data have been elicited through an ecologically valid paradigm.
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spelling pubmed-51495502016-12-23 Comparing a Perceptual and an Automated Vision-Based Method for Lie Detection in Younger Children Serras Pereira, Mariana Cozijn, Reinier Postma, Eric Shahid, Suleman Swerts, Marc Front Psychol Psychology The present study investigates how easily it can be detected whether a child is being truthful or not in a game situation, and it explores the cue validity of bodily movements for such type of classification. To achieve this, we introduce an innovative methodology – the combination of perception studies (in which eye-tracking technology is being used) and automated movement analysis. Film fragments from truthful and deceptive children were shown to human judges who were given the task to decide whether the recorded child was being truthful or not. Results reveal that judges are able to accurately distinguish truthful clips from lying clips in both perception studies. Even though the automated movement analysis for overall and specific body regions did not yield significant results between the experimental conditions, we did find a positive correlation between the amount of movement in a child and the perception of lies, i.e., the more movement the children exhibited during a clip, the higher the chance that the clip was perceived as a lie. The eye-tracking study revealed that, even when there is movement happening in different body regions, judges tend to focus their attention mainly on the face region. This is the first study that compares a perceptual and an automated method for the detection of deceptive behavior in children whose data have been elicited through an ecologically valid paradigm. Frontiers Media S.A. 2016-12-12 /pmc/articles/PMC5149550/ /pubmed/28018271 http://dx.doi.org/10.3389/fpsyg.2016.01936 Text en Copyright © 2016 Serras Pereira, Cozijn, Postma, Shahid and Swerts. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Serras Pereira, Mariana
Cozijn, Reinier
Postma, Eric
Shahid, Suleman
Swerts, Marc
Comparing a Perceptual and an Automated Vision-Based Method for Lie Detection in Younger Children
title Comparing a Perceptual and an Automated Vision-Based Method for Lie Detection in Younger Children
title_full Comparing a Perceptual and an Automated Vision-Based Method for Lie Detection in Younger Children
title_fullStr Comparing a Perceptual and an Automated Vision-Based Method for Lie Detection in Younger Children
title_full_unstemmed Comparing a Perceptual and an Automated Vision-Based Method for Lie Detection in Younger Children
title_short Comparing a Perceptual and an Automated Vision-Based Method for Lie Detection in Younger Children
title_sort comparing a perceptual and an automated vision-based method for lie detection in younger children
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5149550/
https://www.ncbi.nlm.nih.gov/pubmed/28018271
http://dx.doi.org/10.3389/fpsyg.2016.01936
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