Alexander V. Vartanov , Sofia A. Izbasarova , Yulia M. Neroznikova , Igor M. Artamonov , Yana N. Artamonova , Irine I. Vartanova
{"title":"心理镜像在通信对话中的作用","authors":"Alexander V. Vartanov , Sofia A. Izbasarova , Yulia M. Neroznikova , Igor M. Artamonov , Yana N. Artamonova , Irine I. Vartanova","doi":"10.1016/j.cogsys.2023.02.008","DOIUrl":null,"url":null,"abstract":"<div><p>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<span> 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.</span></p></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of psychological mirroring in telecommunicative dialogue\",\"authors\":\"Alexander V. Vartanov , Sofia A. Izbasarova , Yulia M. Neroznikova , Igor M. Artamonov , Yana N. Artamonova , Irine I. Vartanova\",\"doi\":\"10.1016/j.cogsys.2023.02.008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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<span> 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.</span></p></div>\",\"PeriodicalId\":55242,\"journal\":{\"name\":\"Cognitive Systems Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Systems Research\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389041723000232\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Systems Research","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389041723000232","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
The effect of psychological mirroring in telecommunicative dialogue
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.
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.