{"title":"Analyzing cross-platform gaming experiences using topic modeling","authors":"Youngju Sim , Tae-Sun Chung , Inyoung Park","doi":"10.1016/j.entcom.2025.100946","DOIUrl":null,"url":null,"abstract":"<div><div>Due to variations in platform characteristics and user preferences, user experience (UX) differs across platforms, and research on the UX of cross-platform games remains in its early stages. Accordingly, cross-platform games should be tailored to each platform’s unique characteristics. However, few studies have adequately considered these differences for cross-platform games. Given the unique concepts and content of cross-platform games, as well as the evolving technologies and user needs specific to each platform, it is essential to explore how each platform influences UX. To address this gap, we employed text-mining techniques to analyze UX from cross-platform reviews of <em>Among Us</em>. We identified 12 topics, four of which overlap between platforms. Our findings revealed that users on different platforms preferred distinct methods of chat and social interaction. PC users favored voice chat more than mobile users and expressed a higher demand for social communication. In purchasing patterns, PC users tend to prioritize additional content, such as expansions or downloadable content (DLC), while mobile users are more interested in character customization options. This suggests that developers should tailor strategies to each platform’s unique user preferences and behaviors to satisfy users across multiple platforms.</div></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"54 ","pages":"Article 100946"},"PeriodicalIF":2.8000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Entertainment Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1875952125000266","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Due to variations in platform characteristics and user preferences, user experience (UX) differs across platforms, and research on the UX of cross-platform games remains in its early stages. Accordingly, cross-platform games should be tailored to each platform’s unique characteristics. However, few studies have adequately considered these differences for cross-platform games. Given the unique concepts and content of cross-platform games, as well as the evolving technologies and user needs specific to each platform, it is essential to explore how each platform influences UX. To address this gap, we employed text-mining techniques to analyze UX from cross-platform reviews of Among Us. We identified 12 topics, four of which overlap between platforms. Our findings revealed that users on different platforms preferred distinct methods of chat and social interaction. PC users favored voice chat more than mobile users and expressed a higher demand for social communication. In purchasing patterns, PC users tend to prioritize additional content, such as expansions or downloadable content (DLC), while mobile users are more interested in character customization options. This suggests that developers should tailor strategies to each platform’s unique user preferences and behaviors to satisfy users across multiple platforms.
期刊介绍:
Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.