The effect of psychological mirroring in telecommunicative dialogue

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cognitive Systems Research Pub Date : 2023-08-01 DOI:10.1016/j.cogsys.2023.02.008
Alexander V. Vartanov , Sofia A. Izbasarova , Yulia M. Neroznikova , Igor M. Artamonov , Yana N. Artamonova , Irine I. Vartanova
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Abstract

In this work we investigate the phenomenon of emotional mirroring using remotely diagnosed dynamic parameters of facial expressions. The research is based on the fact that mirroring is the subconscious adjustment and copying of the dynamics of another person. We considered a reflection of face expression as a reproduction of emotions of one person by another. To obtain this behavior we used an induced cognitive–emotional conflict in the process of telecommunication dialogue. The conflict was initiated by a psychologist or by short videoclips with surprise endings. Since the communication in a telecommunication form limits non-verbal information about the interlocutor with respect to the normal dialogue, we have also investigated the hypothesis of whether the phenomenon of mirroring is detectable in such conditions. We developed a computer program using VGG16-based artificial neural network to mark people’s emotional reactions in video data automatically. The processed material consisted of 24 interview recordings with the participants of both genders and three qualified expert psychologists. We used different types of interviews: interviews based on self-attitude techniques, problematic interviews based on transactional analysis, free reasoning about controversial and topical situations. The communication topics were selected with respect to the age and other indicators of the group of participants. It was found that the parameters of facial expressions of the participant and the experimenter (psychologist) identified by the program strongly correlate with emotions such as happiness, sadness and surprise. Notable negative correlations were found between the parameters of the happiness of participant and fear of psychologist, sad of the participant and happiness of the psychologist, sad of psychologist and surprise of the participant. A direct relationship between sad of participant and fear of psychologist was detected. All of the identified correlations appear both in the situation with and without cognitive–emotional conflict. However, the degree of their manifestation was quite different for these two cases.

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心理镜像在通信对话中的作用
在这项工作中,我们使用远程诊断的面部表情动态参数来研究情绪镜像现象。这项研究是基于这样一个事实,即镜像是对另一个人动态的潜意识调整和复制。我们认为面部表情的反映是一个人对另一个人情绪的再现。为了获得这种行为,我们在电信对话过程中使用了一种诱发的认知-情感冲突。这场冲突是由心理学家或结局出人意料的短片引发的。由于电信形式的交流限制了与正常对话有关的对话者的非语言信息,我们还研究了在这种情况下是否可以检测到镜像现象的假设。我们使用基于VGG16的人工神经网络开发了一个计算机程序,可以在视频数据中自动标记人们的情绪反应。经过处理的材料包括24段采访录音,参与者包括两性和三名合格的专家心理学家。我们使用了不同类型的采访:基于自我态度技巧的采访,基于交易分析的问题采访,关于有争议和话题的自由推理。交流主题是根据参与者群体的年龄和其他指标选择的。研究发现,该程序识别的参与者和实验者(心理学家)的面部表情参数与快乐、悲伤和惊讶等情绪密切相关。参与者的快乐与心理学家的恐惧、参与者的悲伤与心理学家的快乐、心理学家的悲伤与参与者的惊讶之间存在显著的负相关。研究发现,参与者的悲伤与心理医生的恐惧之间存在直接关系。所有确定的相关性都出现在有认知-情感冲突和没有认知-情感矛盾的情况下。然而,这两个病例的表现程度却大不相同。
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来源期刊
Cognitive Systems Research
Cognitive Systems Research 工程技术-计算机:人工智能
CiteScore
9.40
自引率
5.10%
发文量
40
审稿时长
>12 weeks
期刊介绍: Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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