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Emotion expression and recognition in written digital discussions on Civic Issues
International Journal of Computer-Supported Collaborative Learning ( IF 5.611 ) Pub Date : 2022-11-14 , DOI: 10.1007/s11412-022-09379-5
Benzi Slakmon , Omer Keynan , Orly Shapira

This study examines emotion regulation strategies in written digital discussions revolving around controversial issues. Twenty-five undergraduate students, placed in five study groups, took part in written digital discussions. Two groups were chosen to participate in the study. Participants were interviewed and were asked to read the transcript of the digital conversation they took part in, while referring to all conversation turns. They were asked to explain their own, as well as others’ reasoning regarding emotion expression and emotion intensity levels. Ninety-three interpretations of participants’ turns were made during the interviews. We compared the ways composers labeled their own emotions and intensity levels, with the ways in which other participants’ recognize these emotions, in order to assess the correlations between them. We report on several emotion recognition strategies that were found and point to the idiosyncratically rich but lacking in common ground nature of emotional social language. We highlight the gaps between composers' emotion labeling and others’ emotion recognition. The study offers new insight regarding emotional communication in CSCL settings, claiming that despite poor correlation rates and lack of shared emotional language, participants were indeed able to communicate emotionally. In CSCL settings, emotions function as a dialogic instrument enabling people to relate to each other by fostering closeness and establishing relations.



中文翻译:

关于公民问题的书面数字讨论中的情感表达和识别

本研究考察了围绕有争议的问题进行的书面数字讨论中的情绪调节策略。分为五个学习小组的 25 名本科生参加了书面数字讨论。两组被选中参与研究。参与者接受了采访,并被要求阅读他们参与的数字对话的文字记录,同时提及所有对话轮次。他们被要求解释他们自己以及其他人关于情绪表达和情绪强度水平的推理。在访谈期间,对参与者的轮流做出了 93 种解释。我们将作曲家标记自己情绪和强度水平的方式与其他参与者识别这些情绪的方式进行了比较,以评估它们之间的相关性。我们报告了几种被发现的情绪识别策略,并指出了情绪社交语言特别丰富但缺乏共同点的性质。我们强调作曲家的情感标签与他人的情感识别之间的差距。该研究提供了关于 CSCL 环境中情感交流的新见解,声称尽管相关率低且缺乏共同的情感语言,参与者确实能够进行情感交流。在 CSCL 设置中,情绪作为一种对话工具发挥作用,使人们能够通过培养亲密关系和建立关系来相互联系。情绪标签和他人的情绪识别。该研究提供了关于 CSCL 环境中情感交流的新见解,声称尽管相关率低且缺乏共同的情感语言,参与者确实能够进行情感交流。在 CSCL 设置中,情绪作为一种对话工具发挥作用,使人们能够通过培养亲密关系和建立关系来相互联系。情绪标签和他人的情绪识别。该研究提供了关于 CSCL 环境中情感交流的新见解,声称尽管相关率低且缺乏共同的情感语言,参与者确实能够进行情感交流。在 CSCL 设置中,情绪作为一种对话工具发挥作用,使人们能够通过培养亲密关系和建立关系来相互联系。

更新日期:2022-11-15
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