Jiwan Kim , Doyoung Lee , Mingyu Han , Jaeho Kim , Vassilis Kostakos , Ian Oakley
{"title":"解读 Instagram 的使用:向上的社交比较对野外使用模式和情感体验的影响","authors":"Jiwan Kim , Doyoung Lee , Mingyu Han , Jaeho Kim , Vassilis Kostakos , Ian Oakley","doi":"10.1016/j.ijhcs.2024.103323","DOIUrl":null,"url":null,"abstract":"<div><p>Users of Social Networking Sites (SNS) often engage in social comparison, an experience that can elicit various affective responses. While previous studies have established important links between social comparison and emotion, the granularity and ecological validity of this work remains limited. To address this issue, we conducted a field study with 40 Instagram users. We unobtrusively recorded their Instagram usage patterns (e.g., time on site and the type of content consumed, such as feed, story, or message). Additionally, we used experience sampling methods and questionnaires to capture their affective experiences, social comparisons, and depression severity. Our results elucidate the interplay between these emotions, traits, and tendencies during Instagram use. Notably, we find that while passive or prolonged Instagram use affects users’ emotions, the magnitude of this effect depends on the frequency of users’ social comparisons. These results can inform the design of systems to improve mental well-being on SNS.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unpacking Instagram use: The impact of upward social comparisons on usage patterns and affective experiences in the wild\",\"authors\":\"Jiwan Kim , Doyoung Lee , Mingyu Han , Jaeho Kim , Vassilis Kostakos , Ian Oakley\",\"doi\":\"10.1016/j.ijhcs.2024.103323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Users of Social Networking Sites (SNS) often engage in social comparison, an experience that can elicit various affective responses. While previous studies have established important links between social comparison and emotion, the granularity and ecological validity of this work remains limited. To address this issue, we conducted a field study with 40 Instagram users. We unobtrusively recorded their Instagram usage patterns (e.g., time on site and the type of content consumed, such as feed, story, or message). Additionally, we used experience sampling methods and questionnaires to capture their affective experiences, social comparisons, and depression severity. Our results elucidate the interplay between these emotions, traits, and tendencies during Instagram use. Notably, we find that while passive or prolonged Instagram use affects users’ emotions, the magnitude of this effect depends on the frequency of users’ social comparisons. These results can inform the design of systems to improve mental well-being on SNS.</p></div>\",\"PeriodicalId\":54955,\"journal\":{\"name\":\"International Journal of Human-Computer Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Human-Computer Studies\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1071581924001071\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Human-Computer Studies","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1071581924001071","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
Unpacking Instagram use: The impact of upward social comparisons on usage patterns and affective experiences in the wild
Users of Social Networking Sites (SNS) often engage in social comparison, an experience that can elicit various affective responses. While previous studies have established important links between social comparison and emotion, the granularity and ecological validity of this work remains limited. To address this issue, we conducted a field study with 40 Instagram users. We unobtrusively recorded their Instagram usage patterns (e.g., time on site and the type of content consumed, such as feed, story, or message). Additionally, we used experience sampling methods and questionnaires to capture their affective experiences, social comparisons, and depression severity. Our results elucidate the interplay between these emotions, traits, and tendencies during Instagram use. Notably, we find that while passive or prolonged Instagram use affects users’ emotions, the magnitude of this effect depends on the frequency of users’ social comparisons. These results can inform the design of systems to improve mental well-being on SNS.
期刊介绍:
The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities.
Research areas relevant to the journal include, but are not limited to:
• Innovative interaction techniques
• Multimodal interaction
• Speech interaction
• Graphic interaction
• Natural language interaction
• Interaction in mobile and embedded systems
• Interface design and evaluation methodologies
• Design and evaluation of innovative interactive systems
• User interface prototyping and management systems
• Ubiquitous computing
• Wearable computers
• Pervasive computing
• Affective computing
• Empirical studies of user behaviour
• Empirical studies of programming and software engineering
• Computer supported cooperative work
• Computer mediated communication
• Virtual reality
• Mixed and augmented Reality
• Intelligent user interfaces
• Presence
...