基于FaceReader软件远程捕获的生理反应记录的欺骗检测尝试。第1部分

J. Widacki, B. Wójcik, Anna Szuba-Boroń
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引用次数: 0

摘要

强烈的情绪在表达动作(面部表情)中表现出来。面部表情是自然而普遍的。他们不依赖于种族、文化、社会地位、年龄等。尽管如此,人类有时能够控制自己的面部表情,隐藏自己的情绪。模拟情绪是一项基本的表演技巧。然而,控制面部印象需要时间。这种控制的开始被延迟0.25到0.1秒——这段时间是真实的面部表情,足以表现出这种情绪——因此外部观察者是无法察觉的。在短时间内观察到的这种短暂的面部表情被称为微表情。FaceReader是由荷兰Noldus公司设计的(由Lucas Noldus教授创立和指导),是一个自动识别和分析面部表情的软件包。由于其诊断价值的有效性和可靠性,即正确指征的水平,仍然未知,我们决定通过实验来确定它,并选择运行一个实验,将其诊断价值与传统测谎仪的诊断价值进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attempt at Detection of Deception Based on Records of Physiological Reactions Remotely Captured with FaceReader Software. Part 1
Abstract Strong emotions are among others manifested in the expressive movements (facial expression). Facial expressions are natural and universal by nature. They do not depend on ethnicity, culture, social status, age, etc. Nonetheless, humans are sometimes capable of controlling their facial expressions and hiding their emotions. Simulating emotions is a fundamental acting skill. However, controlling facial impressions takes time. The onset of such a control is delayed by anything from 0.25 to even 0.1 second – the period when the authentic facial expression, adequate to the emotion is demonstrated – and therefore remains imperceptible to an external observer. This short-lived facial expression observed in that short meantime is known as microexpression. FaceReader, designed by Dutch company Noldus (established and directed by Professor Lucas Noldus), is a software package for automatic recognition and analysis of facial expression. As its diagnostic value for validity as well as reliability, that is the level of correct indications, remains unknown, we decided to determine it experimentally and have chosen to run an experiment comparing its diagnostic value with that of a traditional polygraph examination.
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