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An empirical evaluation of interpersonal deception theory in a real-world, high-stakes environment
Journal of Criminal Psychology Pub Date : 2020-02-13 , DOI: 10.1108/jcp-07-2019-0025
Joseph York Thomas , David P. Biros

The study of deception and the theories, which have been developed have relied heavily on laboratory experiments in controlled environments, using American college students participating in mock scenarios. The purpose of this paper is to validate previous deception detection research in a real-world, high stakes environment where the unit of analysis is the question–response pair.,The study used previously confirmed linguistic and paralinguistic speech cues and the constructs of deception in an attempt to validate a leading deception theory, interpersonal deception theory (IDT). A combination of descriptive and predictive analysis was conducted to best understand the relationship between speech cues and changes in the subjects’ behavior.,The result validates IDT with mixed results on individual measures and their constructs. However, there is clear evidence across the 711 question-response pairs that not only was it possible to differentiate truth from deceptive behavior but also patterns of behavior can be seen over time.,Because of the real-world nature of the study, it is difficult to generalize the results to a larger population. However, one implication for future research is the development of methods to capture, process and prepare raw speech into data ready for analysis.,This paper attempts to fill the gap between the controlled mock scenarios and the harsh reality of real-world deception.

中文翻译:

现实世界,高风险环境中人际欺骗理论的实证评估

对欺骗和理论的研究已经高度依赖于受控环境中的实验室实验,使用的是模拟场景中的美国大学生。本文的目的是验证真实世界中高风险环境中以前的欺骗检测研究,其中分析的单位是问题-答案对。该研究使用了先前确认的语言和副语言语音提示以及欺骗的构造。试图验证领先的欺骗理论,人际欺骗理论(IDT)。描述性和预测性分析相结合,以最好地理解语音提示与受试者行为变化之间的关系。结果验证了IDT在各个度量及其构造上的混合结果。然而,在711个问题回答对中有明确的证据表明,不仅有可能将真相与欺骗性行为区分开,而且随着时间的推移也可以看到行为模式。由于这项研究的真实世界性质,很难将结果推广到更大的人群。然而,对未来研究的一个启示是开发了捕获,处理原始语音并将其准备为数据以供分析的方法。本文试图填补受控模拟场景与真实世界欺骗的严峻现实之间的空白。很难将结果推广到更大的人群。然而,对未来研究的一个启示是开发了捕获,处理原始语音并将其准备为数据以供分析的方法。本文试图填补受控模拟场景与真实世界欺骗的严峻现实之间的空白。很难将结果推广到更大的人群。然而,对未来研究的一个启示是开发了捕获,处理原始语音并将其准备为数据以供分析的方法。本文试图填补受控模拟场景与真实世界欺骗的严峻现实之间的空白。
更新日期:2020-02-13
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