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Analyzing cross-platform gaming experiences using topic modeling
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AI
DOI：10.1016/j.entcom.2025.100946.png)
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Abstract
En 中文
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 crossplatform 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.
Keywords:
Cross-platform
User experience
Game review
Text mining
Topic modeling
Among Us
Journal
IF:
2.4
Papers:
287
Citations:
1.3K