Analysis of the frequency of verbal and vocal signs in true and false statements

V. Baić, Z. Ivanović, M. Veljković
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引用次数: 0

Abstract

The paper presents research aimed at analysing the frequency of verbal and vocal signs in a situation of false and true statements, by introducing a secondary task. The research involved 100 students (47 men and 53 women) of the master's studies of criminal investigation at the University of Criminal Investigation and Police Studies, aged 23-44. Students had the task, based on the observation of twenty selected videos (10 true statements and 10 false statements), to mark the frequency of each individual verbal and vocal sign, on a previously generated and prepared list. The results show that there is a statistically significant difference in terms of the frequency of all verbal and vocal signs in a false or true statement: response latency, speech hesitation, speech errors, speech rate, number of spoken words in the utterance, and length of utterance. Response latency, speech hesitation, and speech errors have higher median values in false utterances than in true ones, while speech rate, number of words spoken, and length of utterance show higher median values in true than false utterances.
真假陈述中言语和语音符号的频率分析
本文提出了一项研究,旨在通过引入一个次要任务,分析在虚假和真实陈述的情况下,口头和口头符号的频率。这项研究涉及100名学生(47男53女),年龄在23-44岁之间,是英国刑事调查与警察研究大学刑事调查专业的硕士研究生。根据对20段精选视频(10段真实陈述和10段虚假陈述)的观察,学生们的任务是在事先生成和准备好的列表上标记每个单独的口头和口头符号的频率。结果表明,在假陈述和真陈述中,所有言语和言语符号的频率有统计学意义上的差异:反应延迟、言语犹豫、言语错误、言语率、话语中说出的单词数和话语长度。虚假话语的反应延迟、言语犹豫和言语错误的中值高于真实话语,而真实话语的语速、说话字数和话语长度的中值高于虚假话语。
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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4 weeks
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