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A Study of Emotional Communication of Emoticon Based on Russell's Circumplex Model of Affect

机译:基于Russell情感环行模型的图释情感交流研究

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With the rapid spread of the Internet, there are more and more people being fond of using emoticons to convey emotions on the Internet. However, due to the high abstraction of real things and expressions and the arbitrariness in the production of emoticons, many misunderstandings have happened. At the same time, more and more emoticons emerge in endlessly, people even do not know how to choose and use appropriate emoticons, which seriously affects the efficiency and the experience. This research tried to purpose an approach to verify and optimize the effectiveness of emoticons in emotional communication based on Russell's Circumplex Model of Affect. This research used emoticons in Wechat, which is the most widely used application in China, as an example to construct a quantitative coordinates of emotional cognition system based on Russell's Circumplex Model of Affect, through variable control, perceptual map, cluster analysis and statistical data analysis to verify and improve the present emoticons. The results of verification experiment indicated that it is practical and effective for emoticons classify and use. On the basis of these results, then we can tag the emoticons more effectively and apply it to the recommendation system to further improve the experience and efficiency in the process of using the emoticons. It is foreseeable that the theory of this research can be applied to other things related to emotional communication. Meanwhile, the research methods and results not only provide a new way of thinking for the application of Russell's Circumplex Model of Affect in the Internet era, but also can be applied to psychology, sociology re-search and other specific areas, playing a guiding and testing role.
机译:随着Internet的迅速普及,越来越多的人喜欢使用图释在Internet上传达情感。但是,由于对真实事物和表达的高度抽象以及表情符号生成中的任意性,发生了许多误解。同时,越来越多的表情符号层出不穷,人们甚至不知道如何选择和使用合适的表情符号,这严重影响了效率和体验。这项研究试图基于Russell的环行情感模型,验证和优化表情符号在情感交流中的有效性。本研究以中国最广泛使用的微信中的图释为例,通过变量控制,知觉图,聚类分析和统计数据分析,基于罗素环感模型,构建情绪认知系统的定量坐标。验证和改进当前的表情符号。验证实验结果表明,该方法对表情符号的分类和使用具有实用性和有效性。根据这些结果,我们可以更有效地标记表情符号,并将其应用于推荐系统,以进一步改善表情符号使用过程中的体验和效率。可以预见,这项研究的理论可以应用于与情感交流有关的其他事物。同时,研究方法和结果不仅为罗素的环行情感模型在互联网时代的应用提供了新的思路,而且可以应用于心理学,社会学研究等具体领域,起到指导和指导作用。测试角色。

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