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Transfer entropy for synchronized behavior estimation of interpersonal relationships in human communication: identifying leaders or followers

机译：转移人类交流中的人际关系同步行为估计的转移熵：识别领导者或追随者

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A person's behavioral rhythms are synchronized spontaneously and unconsciously with those of other people, which often have positive effects, such as facilitating cooperation on tasks and promoting empathy for others. Although synchronization is induced by mutual interaction, it is unclear whether both individuals have the same influence. Is there a division of roles, in which some people are leaders and some followers? To address this, we calculated the transfer entropy (TE) of behavioral rhythms in a two-person cooperative tapping task, which provides an estimate of the direction of information propagation between two systems. We used TE to identify the causal relationship between two people (leader and follower); that is, the significant differences in the TE from one partner to another and vice versa. In this study, if there was a high TE from one individual (e.g., participant A) to the other individual (e.g., participant B), we defined participant A as the leader group and B as the follower group. First, using computer simulations, the programs which tapping intervals were almost independent with or were almost same with those of the partner programs were identified as the leader or follower, respectively, thereby confirming our hypothesis. Second, based on the results of the human experiment, we identified the leader and follower in some groups. Interestingly, the leader group showed a high systemizing quotient, which is related to communication deficits in developmental disorders such as autism. The results are consistent with participants' subjective impressions of their partners. Our methods can be used to estimate the interpersonal division of roles in complex human communications.
机译：一个人的行为节律与其他人的行为节律同步，这些人通常会有积极影响，例如促进任务的合作，并为他人促进同理心。虽然通过相互相互作用引起同步，但目前还不清楚两个人是否具有相同的影响。是否有一个角色，有些人是领导者和一些粉丝？为了解决这一点，我们计算了两人合作攻丝任务中的行为节律的转移熵（TE），其提供了两个系统之间信息传播方向的估计。我们使用TE来确定两个人（领导者和追随者）之间的因果关系;也就是说，从一个伙伴到另一个伙伴的TE的显着差异，反之亦然。在这项研究中，如果有一个人（例如，参与者a）与其他个人（例如，参与者B）有高度的TE，我们将参与者A定义为领导人组和B作为追随者集团。首先，使用计算机模拟，分散间隔几乎与合作伙伴计划与合作伙伴计划几乎独立的程序分别被识别为领导者或跟随者，从而确认我们的假设。其次，根据人类实验的结果，我们在某些群体中识别了领导者和追随者。有趣的是，领导集团展示了一个高系统化的商，与自闭症等发育障碍中的沟通缺陷有关。结果与参与者的主观印象一致。我们的方法可用于估算复杂的人类通信中的人际关系的人际关系。

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