| 题名 | 积极情绪趋同及其生理协同对关系凝聚的预测 |
| 作者 | 张玉麟 |
| 答辩日期 | 2021-12 |
| 文献子类 | 博士 |
| 授予单位 | 中国科学院心理研究所 |
| 授予地点 | 中国科学院心理研究所 |
| 其他责任者 | 孙向红 ; 赵国朕 |
| 关键词 | 积极情绪 情绪趋同 生理协同 情感性凝聚 工具性凝聚 |
| 学位名称 | 理学博士 |
| 其他题名 | Positive emotional convergence and corresnondin hvsiological svnchrony in predicting relationship cohesion |
| 学位专业 | 应用心理学 |
| 中文摘要 | Relationship cohesion is very important for the result of relationship, which includes not only the affective components related to liking and satisfaction, but also the instrumental components related to shared tasks and goals. Previous studies have shown that the degree of emotional convergence (the similarity of emotional experience) between relationships is closely related to emotional and instrumental cohesion. However, there is still a lack of in-depth and systematic research on what kind of emotional convergence can predict relational cohesion, what the neurophysiological mechanism behind emotional convergence is, and what the prediction mechanism of affective and instrumental cohesion is. Therefore, based on the perspective of positive psychology, starting from the categories of positive emotion, this study reveals the prediction mechanism of emotional convergence and its physiological synergy on affective and instrumental cohesion between relationships. This paper includes the following five studies: Study1 explored the structure of positive emotion and established standardized inducing materials for the measurement of positive emotion convergence in subsequent studies. In Study 1，experts and research assistants were recruited to select video clips to induce positive emotions according to the positive emotion structures (fun, empathy, creativity and esteem) combed by the literature review, and the above structures were verified by the combination of large sample behavior experiments and peripheral physiological records. The results show that in the systematic clustering of subjective evaluation, the structure of four categories of positive emotion induced by video clips is stable, and the support vector machine (SVM) classifier based on pulse wave (PPG) and galvanic skin response (GSR) features has achieved 44.66% classification accuracy. Study 2 explored the predictive mechanism of positive emotional convergence and EEG synergy on relational affective cohesion in dyads. Study 2 (A) measured the empathy cohesion, fun cohesion and esteem cohesion of shared relationships (friends and lovers) using materials in Stdy 1，and measured the tendency to others' emotions and affective cohesion through questionnaires. The results show that both fun cohesion and esteem cohesion can mediate the prediction path from the tendency to others' emotions to affective cohesion. Study 2 (B) collected EEG signals of subjects with equally matching (strangers) and shared relationships when watching positive emotion videos by hyper-scanning, extracted the synergy features, and measured the emotional convergence of subjects with shared relationships with video time by continuous evaluation paradigm. The results show that in the inter-group difference, compared with the phase lock value (PLU), the inter subject correlation (ISC) of the alpha frequency band between the corresponding electrodes induced by empathic video in shared relationships is significantly higher than that of the equal matching relationships. At the same time, the results of Granger causality analysis show that, The ISC of alpha band between corresponding electrodes is also the reason for the change of cohesion in esteem and fun emotion. However, in the prediction of affective cohesion, the mediating effect of EEG physiological synergy is not significant. Study 3 explored the prediction mechanism of positive emotional convergence and PPG synergy on relational affective cohesion in horizontal pluralistic relationships. Study 3 manipulated the high emotional convergence (military training students watch esteem videos) and low emotion convergence (watch other types of videos) in the shared relationship by inducing subjects' group identity. The PPG signals of subjects watching videos were collected by hyper-scanning and the synergy features were extracted, and the group emotional intelligence as well as the affective cohesion were measured by questionnaire. The results show that: at the behavioral level, esteem cohesion can mediate the prediction path of group emotional intelligence to affective cohesion; The ISC of PPG time domain characteristics was significantly higher than that of low emotional convergence under the condition of high emotional convergence; The ISC of PPG time domain characteristics under high emotional convergence can moderate the indirect path of behavior level mediation effect. Study 4 explored the prediction mechanism of creativity cohesion and EEG synergy on instrumental cohesion in horizontal dyads. Study 4 (A) measured the creativity cohesion of subjects with both equally matching and shared relationships using materials in Study 1，measured the tendency of emotional expression through questionnaire, and measured the instrumental cohesion level of dyads through the adapte ”dyadic go/no go" paradigm. The results show that the interaction effect of creativity cohesion and emotional expression tendency in predicting instrumental cohesion is significant, and emotional expression tendency plays a role in low emotional convergence. Study 4 (b) recorded the EEG signals of dyads in collaborative interaction through the adapted”graph pairing" paradigm, and measured the instrumental cohesion level. The results showed that the ISC of alpha band between frontal corresponding electrodes and the PLV of alpha band between non-frontal corresponding electrodes were significantly higher in subjects with high creativity cohesion than in subjects with low creativity cohesion; The interaction effect of EEG synergy and emotional expression tendency in predicting instrumental cohesion is significant, and emotional expression tendency plays a role in low EEG synergy. Study 5 explored the prediction mechanism of creativity cohesion and GSR synergy on instrumental cohesion in the vertica dyads. In Study 5, under the real classroom situation, the GSR signals of teachers and students under the paradigm of "reading and following" were collected by hyper-scanning. Based on the”stability and influence model"，the influence degree of teachers' physiological signals on students' physiological signals was calculated, and the level of teacher-student interaction, creativity cohesion and instrumental cohesion were measured through subjective evaluation. The results show that creativity cohesion can mediate the prediction path of teacher-student interaction level on teacher-student instrumental cohesion, and the influence of teacher-student GSR signal moderates the relationship between interaction level and emotional convergence. In conclusion, through the paradigm of EEG and peripheral physiological hyper-scanning, this study systematically explored the prediction mechanism of different categories of positive emotion convergence on relationship cohesion and the moderating role of neurophysiological synergy. This study verifies the constructive role of positive emotional convergence in relationship cohesion. The relevant research results can not only deepen the theoretical understanding of relationship cohesion, but also provide ideas for the automatic measurement of relationship cohesion based on physiological signals. |
| 英文摘要 | 关系凝聚力对于关系的结果至关重要，既包含了与喜欢和满意相关的情感成分，又包含了与任务和口标相关的工具成分。以往研究表明，关系间的情绪趋同 (即情绪体验上的相似性)与情感性和工具性凝聚都密切相关。然而，什么类别的情绪趋同能够预测关系凝聚，情绪趋同背后的神经生理机制如何，以及对情感性和工具性凝聚预测的机制又是什么还缺乏深入系统的研究。因此，本研究基于积极心理学的视角，从积极情绪类别和关系类别入手，在行为和生理两个层面上，揭示了情绪趋同及其生理协同在关系间的情感凝聚和工具凝聚上的预测机制。 研究一探究了积极情绪的结构并建立了标准化的诱发材料，用于后续研究对积极情绪趋同的测量。研究一招募了专家和研究助理根据文献综述梳理的积极情绪结构(乐趣、共情、创造和价值四大类)对积极情绪的视频诱发材料进行海选，并通过大样本的行为实验和外周生理记录相结合的方式对上述结构进行验证。结果显示，在主观评价的系统聚类上，视频诱发的四大类积极情绪感受的结构稳定，且基于脉搏波(PPG)和皮电反应(GSR)特征的支持向量机(SVM)分类器取得了44.66%的四分类准确率。 研究二在水平二元关系上探究了积极情绪趋同及脑电(EEG)协同对关系情感凝聚的预测机制。研究二(A)基于研究一的诱发材料测量了共享型关系(朋友和情侣)的共情趋同度、乐趣趋同度和价值趋同度，通过问卷测量了对他人情绪的倾向性和情感凝聚。结果表明:乐趣趋同度、价值趋同度都能够中介对他人情绪的倾向性对情感凝聚的预测路径。研究二(B)通过超记录的方式采集了平等匹配型(陌生人)和共享型关系被试在观看积极情绪视频时的EEG信号并提取了协同特征，通过连续评价范式测量了共享型关系被试随视频时间变化的情绪趋同度。结果表明:在组间差异上，相比于锁相值(PLU }，共享型关系被试在共情视频诱发的对应电极间alpha频段的被试间相关(ISC)显著高于平等匹配型关系，同时格兰杰因果分析的结果发现，对应电极间alpha频段的ISC也是共享型关系被试在价值和乐趣情绪上凝聚度变化的原因。然而在对情感凝聚的预测上，EEG生理协同特征的中介效应不显著。 研究三在水平多元关系上探究了积极情绪趋同及PPG协同对关系情感凝聚的预测机制。研究三通过诱发被试群体身份认同在共享型关系上操纵了高情绪趋同(军训学员观看价值类情绪视频)和低情绪(观看其他类别视频)两个水平，通过超记录的方式采集了被试在观看视频时的PPG信号并提取了协同特征，通过问卷测量了群体情绪智力和情感凝聚。结果表明:在行为水平上，价值趋同度能够中介群体情绪智力对情感凝聚的预测路径; PPG时域特征的ISC在高情绪趋同条件下显著高于低情绪趋同;高情绪趋同下的PPG时域特征的ISC能够调节行为水平中介效应的间接路径。 研究四在水平二元关系上探究了创造类情绪趋同及EEG协同对关系工具凝聚的预测机制。研究四(A)基于研究一的诱发材料测量了平等匹配型和共享型关系被试的创造趋同度，通过量表测量了情绪表达倾向，并通过改编的“双人go/no go”范式测量了二元关系的工具凝聚水平。结果表明:创造趋同度和情绪表达倾向在对工具凝聚的预测上有交互作用，且情绪表达倾向在低情绪趋同的时候起作用。研究四(B)通过改编的“图形配对”范式记录了二元关系在协作互动中的EEG信号并测量了二元关系的工具凝聚水平。结果表明:高创造趋同度被试额叶对应电极间alpha频段的ISC和非额叶对应电极间alpha频段的PLU显著高于低创造趋同度被试;EEG协同特征和情绪表达倾向在对关系的工具凝聚的预测上有交互作用，且情绪表达倾向在低EEG协同的时候起作用。 研究五在垂直二元关系上探究了创造类情绪趋同及GSR协同对关系工具凝聚的预测机制。研究五在真实的教学情景下，通过超记录的方式采集了教师和学生在“朗诵与跟读”范式下的GSR信号，基于“稳定一影响模型”计算了教师生理信号对学生生理信号的影响程度，并通过主观评价测量了师生互动水平、创造趋同度和工具凝聚水平。结果表明:创造趋同度能够中介师生互动水平对师生工具凝聚的预测路径，同时师生GSR信号的影响性调节了互动水平与情绪趋同度之间的关系。 综上，本研究通过脑电及外周生理超记录的研究范式，系统地探讨了不同类别的积极情绪趋同对关系凝聚的预测机制，以及神经生理协同在其中的调节作用。本研究验证了积极情绪趋同在关系凝聚力中的建设性作用，相关的研究成果不仅可以深化关系凝聚力的理论认识，同时为基于生理信号的关系凝聚力自动化测量提供思路。 |
| 语种 | 中文 |
| 内容类型 | 学位论文 |
| 源URL | [http://ir.psych.ac.cn/handle/311026/41341]  |
| 专题 | 心理研究所_社会与工程心理学研究室 |
| 推荐引用方式 GB/T 7714 | 张玉麟. 积极情绪趋同及其生理协同对关系凝聚的预测[D]. 中国科学院心理研究所. 中国科学院心理研究所. 2021. |
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