Experience, learning and the detection of deception

Sanmitra Ghosh
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Abstract

Deceptive communication or behavior can inflict loss, so it may be important to be able to distinguish these from trustworthy ones. Repeated exposure or experience can cause learning and hence better detection of deception. We investigate whether experience improves deception detection by enabling learning, using data from a TV game show. Decision makers in the show repeatedly faced situations where they had to correctly identify a person from within a group all claiming to be that individual. We found increased experience reduced detection error. Analysis of the data suggested this correlation was driven by learning.
经验,学习和识破欺骗
欺骗性的沟通或行为会造成损失,因此能够将这些与值得信赖的区分开来可能很重要。反复接触或经历可以使人学习,从而更好地发现欺骗。我们使用电视游戏节目的数据,通过学习来研究经验是否能提高欺骗检测。节目中的决策者反复面临这样的情况:他们必须从一群自称是那个人的人中正确识别出一个人。我们发现经验的增加减少了检测误差。对数据的分析表明,这种相关性是由学习驱动的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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