{"title":"社交媒体用户对虚拟人类情感的情感、态度和行为反应","authors":"Sitan Li, Jeongmin Ham, Matthew S. Eastin","doi":"10.1016/j.tele.2023.102084","DOIUrl":null,"url":null,"abstract":"<div><p>Virtual humans’ communication of emotions in social media posts are considered heuristics of human behavior. The current study extends the Cognitive-Functional Model of Emotions to virtual influencers and investigates how social media users engage with virtual human emotions. In an experiment (<em>N</em> = 362), non-emotional and emotional (i.e., happy, sad, and lust) social media posts are examined for their influence on Generation Z and Millennial (18–40 years old) users’ affective responses and subsequent attitudinal and behavioral outcomes within the moderation of eeriness based on the uncanny valley paradigm. Findings indicate affective responses and attitudes are serial mediators between a virtual human’s display of emotion and social media users’ behavioral intentions, and eeriness was a significant moderator. Lust has the strongest effect, followed by happiness, sadness, and no emotion. This research elevates the Cognitive-Functional Model to discrete virtual human emotions with approach tendencies. Implications for understanding the impact of virtual humans’ emotions and sexual appeal on social media users’ engagement are discussed.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"87 ","pages":"Article 102084"},"PeriodicalIF":7.6000,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social media users’ affective, attitudinal, and behavioral responses to virtual human emotions\",\"authors\":\"Sitan Li, Jeongmin Ham, Matthew S. Eastin\",\"doi\":\"10.1016/j.tele.2023.102084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Virtual humans’ communication of emotions in social media posts are considered heuristics of human behavior. The current study extends the Cognitive-Functional Model of Emotions to virtual influencers and investigates how social media users engage with virtual human emotions. In an experiment (<em>N</em> = 362), non-emotional and emotional (i.e., happy, sad, and lust) social media posts are examined for their influence on Generation Z and Millennial (18–40 years old) users’ affective responses and subsequent attitudinal and behavioral outcomes within the moderation of eeriness based on the uncanny valley paradigm. Findings indicate affective responses and attitudes are serial mediators between a virtual human’s display of emotion and social media users’ behavioral intentions, and eeriness was a significant moderator. Lust has the strongest effect, followed by happiness, sadness, and no emotion. This research elevates the Cognitive-Functional Model to discrete virtual human emotions with approach tendencies. Implications for understanding the impact of virtual humans’ emotions and sexual appeal on social media users’ engagement are discussed.</p></div>\",\"PeriodicalId\":48257,\"journal\":{\"name\":\"Telematics and Informatics\",\"volume\":\"87 \",\"pages\":\"Article 102084\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2023-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Telematics and Informatics\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S073658532300148X\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telematics and Informatics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S073658532300148X","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
摘要
虚拟人在社交媒体帖子中的情感交流被认为是人类行为的启发式。本研究将情绪的认知功能模型扩展到虚拟影响者,并调查社交媒体用户如何与虚拟人的情绪互动。在一项实验中(N = 362),研究了非情感性和情感性(即快乐、悲伤和欲望)社交媒体帖子对 Z 世代和千禧一代(18-40 岁)用户情感反应的影响,以及在基于不可思议谷范式的 "阴森恐怖 "调节范围内的后续态度和行为结果。研究结果表明,情感反应和态度是虚拟人情感展示与社交媒体用户行为意图之间的连续中介,而 "阴森恐怖 "是一个重要的调节因素。欲望的影响最大,其次是快乐、悲伤和无情感。这项研究将认知-功能模型提升到了具有接近倾向的离散虚拟人情感。本文讨论了了解虚拟人的情感和性吸引力对社交媒体用户参与的影响的意义。
Social media users’ affective, attitudinal, and behavioral responses to virtual human emotions
Virtual humans’ communication of emotions in social media posts are considered heuristics of human behavior. The current study extends the Cognitive-Functional Model of Emotions to virtual influencers and investigates how social media users engage with virtual human emotions. In an experiment (N = 362), non-emotional and emotional (i.e., happy, sad, and lust) social media posts are examined for their influence on Generation Z and Millennial (18–40 years old) users’ affective responses and subsequent attitudinal and behavioral outcomes within the moderation of eeriness based on the uncanny valley paradigm. Findings indicate affective responses and attitudes are serial mediators between a virtual human’s display of emotion and social media users’ behavioral intentions, and eeriness was a significant moderator. Lust has the strongest effect, followed by happiness, sadness, and no emotion. This research elevates the Cognitive-Functional Model to discrete virtual human emotions with approach tendencies. Implications for understanding the impact of virtual humans’ emotions and sexual appeal on social media users’ engagement are discussed.
期刊介绍:
Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.