Talking is the most common type of human interaction that people have in their daily life. Besides all conducted studies on the analysis of human behavior in different conditions, no study has been reported yet that analyzed how the brain activity of two persons is related during their conversation. In this research, for the first time, we investigate the relationship between brain activities of people while communicating, considering human voice as the mean of this connection. For this purpose, we employ fractal analysis in order to investigate how the complexity of electroencephalography (EEG) signals for two persons are related. The results showed that the variations of complexity of EEG signals for two persons are correlated while communicating. Statistical analysis also supported the result of analysis. Therefore, it can be stated that the brain activities of two persons are correlated during communication. Fractal analysis can be employed to analyze the correlation between other physiological signals of people while communicating.

中文翻译：

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基于复杂性的人机交互大脑同步分析

谈话是人们日常生活中最常见的人际交往方式。除了所有关于在不同条件下分析人类行为的研究外，还没有研究报告分析两个人的大脑活动在谈话过程中是如何相关的。在这项研究中，我们首次调查了人们在交流时大脑活动之间的关系，并以人声作为这种联系的平均值。为此，我们采用分形分析来研究两个人的脑电图 (EEG) 信号的复杂性之间的关系。结果表明，两个人的脑电信号复杂度的变化在交流时是相关的。统计分析也支持分析结果。所以，可以说，两个人的大脑活动在交流过程中是相关的。分形分析可用于分析人们在交流时的其他生理信号之间的相关性。