Mining Bodily Cues to Deception

IF 1.2 3区 心理学 Q4 PSYCHOLOGY, SOCIAL Journal of Nonverbal Behavior Pub Date : 2024-01-16 DOI:10.1007/s10919-023-00450-9
{"title":"Mining Bodily Cues to Deception","authors":"","doi":"10.1007/s10919-023-00450-9","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>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.</p>","PeriodicalId":47747,"journal":{"name":"Journal of Nonverbal Behavior","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nonverbal Behavior","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1007/s10919-023-00450-9","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PSYCHOLOGY, SOCIAL","Score":null,"Total":0}
引用次数: 0

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
挖掘欺骗的身体线索
摘要 大量研究调查了欺骗和身体行为的潜在相关性。这些研究绝大多数考虑的是离散的、主观编码的肢体动作,如特定的手势或头部动作。这些研究没有考虑身体动作的定量方面,如精确的动作方向、幅度和时间。在本文中,我们采用了一种创新的数据挖掘方法来系统地研究欺骗行为的身体相关因素。我们重新分析了之前发表的一项欺骗研究中的动作捕捉数据,并试验了不同的数据编码选项。我们报告了欺骗检测率如何受到身体部位、姿势和动作编码、观察长度以及测量噪音量等变量的影响。我们的结果证明了数据挖掘方法的可行性,其检测率超过 65%,明显优于人类判断(52.80%)。通过系统分析,我们可以了解各种编码因素的重要性。此外,我们还能调和以往研究中看似不一致的发现。我们的方法凸显了数据驱动研究在支持欺骗理论的验证和发展方面的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Nonverbal Behavior
Journal of Nonverbal Behavior PSYCHOLOGY, SOCIAL-
CiteScore
4.80
自引率
9.50%
发文量
27
期刊介绍: Journal of Nonverbal Behavior presents peer-reviewed original theoretical and empirical research on all major areas of nonverbal behavior. Specific topics include paralanguage, proxemics, facial expressions, eye contact, face-to-face interaction, and nonverbal emotional expression, as well as other subjects which contribute to the scientific understanding of nonverbal processes and behavior.
期刊最新文献
Machine Learning Predicts Accuracy in Eyewitnesses’ Voices The Expression of Vocal Emotions in Cognitively Healthy Adult Speakers: Impact of Emotion Category, Gender, and Age The Effect of Face Masks and Sunglasses on Emotion Perception over Two Years of the COVID-19 Pandemic The Digital Witness: Exploring Gestural Misinformation in Tele-Forensic Interviews with 5-8-Year-Old Children Perceptions of mate poaching predict jealousy towards higher-pitched women’s voices
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1