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question does the study address about dynamic emojis?","Question",{"text":63,"@type":64},"The study examines how dynamic emoji effects influence users’ emotional responses, specifically arousal and valence, and how those responses relate to rhythms and motion.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How are the dynamic effects structured in the experiment?",{"text":68,"@type":64},"The study evaluates 128 different dynamic effects, categorized into emotional types (HAHV, LAHV, HALV, and LALV), and then compares arousal and valence outcomes across these types.",{"name":70,"@type":61,"acceptedAnswer":71},"What did the results show about rhythms and valence?",{"text":72,"@type":64},"Rhythms significantly and positively relate to arousal across dynamic emojis, but their impact on valence differs by emotion type: motion affects valence for dynamic high-valence emojis, while it is not significant for dynamic low-valence 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\nEDITED BY  \nBruno Gingras,  \nUniversity of Vienna, Austria  \nREVIEWED BY  \nAlexander Toet,  \nNetherlands Organisation for Applied Scientific Research, Netherlands  \nLara L. Jones,  \nWayne State University, United States  \n*CORRESPONDENCE  \nMei Wang  \n [wangmei@scu.edu.cn](wangmei@scu.edu.cn)  \nRECEIVED 26 June 2023  \nACCEPTED 25 August 2023  \nPUBLISHED 12 September 2023  \nCITATION  \nYang D, Wang M, Ren Y, Dong X and  \nYang T (2023) A study of dynamic emoji emotional responses based on rhythms and motion effects.  \nFront. Psychol. 14:1247595 .  \ndoi: 10.3389/fpsyg.2023.1247595  \nCOPYRIGHT  \n© 2023 Yang, Wang, Ren, Dong and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.  \nA study of dynamic emoji emotional responses based on rhythms and motion effects  \nDanni Yang, Mei Wang*, Yutong Ren, Xiaoyan Dong and Tian Yang  \nSchool of Mechanical Engineering, Sichuan University, Chengdu, China  \nDynamic emojis are a form of nonverbal communication used in social programs to express emotions during conversations. Studies have shown that different dynamic effects can influence users’ emotional perceptions. Previous studies have focused on the emotional responses elicited by static emojis, while the emotional responses to dynamic emojis have not been thoroughly explored. In this study, we examined the impact of 128 different dynamic effects, categorized into emotional types (HAHV, LAHV, HALV, and LALV), on users’ arousal and valence, and conducted semi-structured interviews to identify users’ preferred dynamic effects. The results revealed significant and positive correlations between the arousal levels of all dynamic emojis and the effects of rhythms. However, the impact of rhythms on the valence of dynamic emojis varied depending on the emotion types of emojis. Specifically, the effects of motion on the valence of dynamic high-valence emojis were found to be significant, whereas they were not significant for dynamic low-valence emojis. Based on these findings, we recommend considering following factors in the design of dynamic emojis, including rhythms, motion effects, motion range, emotional metaphors, and the creation of contrast.  \nKEYWORDS  \ndynamic emoji, valence, arousal, motion effect, rhythm  \n1. Introduction  \nWith the rapid development of computers, people began to rely more on smartphone instant messaging for social interaction. In instant messaging, people began to use emoticons to express their nonverbal emotions (Lo, 2008; Ganster et al., 2012). With the popularity of emoticons, many mainstream social applications have started to provide dynamic emoticons as a part of the chat, such as Wechat, Telegram, and Twitter. Compared with static emoticons, dynamic emoticons are considered to be more expressive and have stronger emotional resonance (An et al., 2022) .  \nThe most dominant emoticons in social apps are emojis, which are essentially emoticons that support character input. The appearance of emoji can be designed by different platforms, but the basic elements are similar. Emojis can be utilized as paralinguistic cues to express emotional meaning (Aldunate and González-Ibáñez, 2017), help understand messages (Tang and Hew, 2018), allow recipients to more correctly understand the level and direction of emotional expression (Lo, 2008), facilitate social interaction and interpersonal emotional expression, reduce negative emotions (Derks et al., 2008), and also add and complement richer emotional meaning and situational context (Rez","cbCaiupYEOw0tEsz","https://ap.wps.com/l/cbCaiupYEOw0tEsz","pdf",2812683,13,"English","# Introduction\n## Background of dynamic emojis in instant messaging\n# Dynamic emoji effects and emotional research approaches\n## Emotional meaning through nonverbal cues\n## Prior studies on static vs. dynamic emojis\n## Dimensional and differential emotion theories","[{\"question\":\"What question does the study address about dynamic emojis?\",\"answer\":\"The study examines how dynamic emoji effects influence users’ emotional responses, specifically arousal and valence, and how those responses relate to rhythms and motion.\"},{\"question\":\"How are the dynamic effects structured in the experiment?\",\"answer\":\"The study evaluates 128 different dynamic effects, categorized into emotional types (HAHV, LAHV, HALV, and LALV), and then compares arousal and valence outcomes across these types.\"},{\"question\":\"What did the results show about rhythms and valence?\",\"answer\":\"Rhythms significantly and positively relate to arousal across dynamic emojis, but their impact on valence differs by emotion type: motion affects valence for dynamic high-valence emojis, while it is not significant for dynamic low-valence emojis.\"}]","A study of dynamic emoji emotional responses based on rhythms and motion effects - research findings | PDF",33]