{"title":"人机交互过程中的情感体验研究","authors":"Lilu Tang, Peijun Yuan, Dan Zhang","doi":"10.1080/10447318.2023.2259710","DOIUrl":null,"url":null,"abstract":"AbstractAs human-computer interaction (HCI) technology becomes more and more integrated into our daily life, increasing attention has been drawn towards the interaction experience in addition to HCI efficiency. In the present study, we conducted a survey to explore context-specific emotional experience in HCI. Four hundred participants were recruited to report the frequency of their emotional experiences on 44 fine-grained emotion items in six representative HCI scenarios. Compared with six matched human-human interaction (HHI) scenarios used as control, the HCI scenarios were in general more frequently associated with negative emotions, and less frequently associated with positive emotions, especially when computer served as a tool for communication with other people. Furthermore, the 44 emotional experience items in HCI were summarized as five factors, representing low-arousal focused, positively engaged, emotionally empathetic, high-arousal negative and frustratingly confused. Our study presents a comprehensive overview of context-specific emotional experience in human-computer interactions and provides a framework for emotion evaluation in HCI applications.Keywords: Emotioncontext specificityhuman-computer interaction (HCI)human-human interaction (HHI)survey Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work is supported by the National Natural Science Foundation of China [61977041], the Tsinghua University Spring Breeze Fund [2021Z99CFY037], and the Education Innovation Grants of Tsinghua University [DX05_02].Notes on contributorsLilu TangLilu Tang is a graduate student in the Department of Psychology at Tsinghua University, China. Her current research interests include human-computer interaction, emotion measurement, and user experience.Peijun YuanPeijun Yuan is a research scientist in Qiyuan Lab, China. She received her Ph.D. degree in cognitive neuroscience from the Institute of Psychology, Chinese Academy of Sciences. Her current research interests include human-computer interaction, spatiotemporal dynamics of cognition, and visual attention.Dan ZhangDan Zhang is an associate professor in the Department of Psychology at Tsinghua University, China. He received his Ph.D. degree in biomedical engineering at Tsinghua University in 2011. His research interests include affective computing, brain-computer interface, as well as the psychological basis of emotion.","PeriodicalId":54954,"journal":{"name":"International Journal of Human-Computer Interaction","volume":"28 1","pages":"0"},"PeriodicalIF":3.4000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Emotional Experience during Human-Computer Interaction: A Survey\",\"authors\":\"Lilu Tang, Peijun Yuan, Dan Zhang\",\"doi\":\"10.1080/10447318.2023.2259710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractAs human-computer interaction (HCI) technology becomes more and more integrated into our daily life, increasing attention has been drawn towards the interaction experience in addition to HCI efficiency. In the present study, we conducted a survey to explore context-specific emotional experience in HCI. Four hundred participants were recruited to report the frequency of their emotional experiences on 44 fine-grained emotion items in six representative HCI scenarios. Compared with six matched human-human interaction (HHI) scenarios used as control, the HCI scenarios were in general more frequently associated with negative emotions, and less frequently associated with positive emotions, especially when computer served as a tool for communication with other people. Furthermore, the 44 emotional experience items in HCI were summarized as five factors, representing low-arousal focused, positively engaged, emotionally empathetic, high-arousal negative and frustratingly confused. Our study presents a comprehensive overview of context-specific emotional experience in human-computer interactions and provides a framework for emotion evaluation in HCI applications.Keywords: Emotioncontext specificityhuman-computer interaction (HCI)human-human interaction (HHI)survey Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work is supported by the National Natural Science Foundation of China [61977041], the Tsinghua University Spring Breeze Fund [2021Z99CFY037], and the Education Innovation Grants of Tsinghua University [DX05_02].Notes on contributorsLilu TangLilu Tang is a graduate student in the Department of Psychology at Tsinghua University, China. Her current research interests include human-computer interaction, emotion measurement, and user experience.Peijun YuanPeijun Yuan is a research scientist in Qiyuan Lab, China. She received her Ph.D. degree in cognitive neuroscience from the Institute of Psychology, Chinese Academy of Sciences. Her current research interests include human-computer interaction, spatiotemporal dynamics of cognition, and visual attention.Dan ZhangDan Zhang is an associate professor in the Department of Psychology at Tsinghua University, China. He received his Ph.D. degree in biomedical engineering at Tsinghua University in 2011. 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Emotional Experience during Human-Computer Interaction: A Survey
AbstractAs human-computer interaction (HCI) technology becomes more and more integrated into our daily life, increasing attention has been drawn towards the interaction experience in addition to HCI efficiency. In the present study, we conducted a survey to explore context-specific emotional experience in HCI. Four hundred participants were recruited to report the frequency of their emotional experiences on 44 fine-grained emotion items in six representative HCI scenarios. Compared with six matched human-human interaction (HHI) scenarios used as control, the HCI scenarios were in general more frequently associated with negative emotions, and less frequently associated with positive emotions, especially when computer served as a tool for communication with other people. Furthermore, the 44 emotional experience items in HCI were summarized as five factors, representing low-arousal focused, positively engaged, emotionally empathetic, high-arousal negative and frustratingly confused. Our study presents a comprehensive overview of context-specific emotional experience in human-computer interactions and provides a framework for emotion evaluation in HCI applications.Keywords: Emotioncontext specificityhuman-computer interaction (HCI)human-human interaction (HHI)survey Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work is supported by the National Natural Science Foundation of China [61977041], the Tsinghua University Spring Breeze Fund [2021Z99CFY037], and the Education Innovation Grants of Tsinghua University [DX05_02].Notes on contributorsLilu TangLilu Tang is a graduate student in the Department of Psychology at Tsinghua University, China. Her current research interests include human-computer interaction, emotion measurement, and user experience.Peijun YuanPeijun Yuan is a research scientist in Qiyuan Lab, China. She received her Ph.D. degree in cognitive neuroscience from the Institute of Psychology, Chinese Academy of Sciences. Her current research interests include human-computer interaction, spatiotemporal dynamics of cognition, and visual attention.Dan ZhangDan Zhang is an associate professor in the Department of Psychology at Tsinghua University, China. He received his Ph.D. degree in biomedical engineering at Tsinghua University in 2011. His research interests include affective computing, brain-computer interface, as well as the psychological basis of emotion.
期刊介绍:
The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing.
It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.