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http://dx.doi.org/10.7583/JKGS.2018.18.6.69

A study on the Elements of Interest for VR Game Users Using Text Mining and Text Network Analysis - Focused on STEAM User Review Data -  

Wui, Min-Young (Dept. of Content Convergence, Ewha Womans University)
Na, Ji Young (Dept. of Content Convergence, Ewha Womans University)
Park, Young Il (Dept. of Content Convergence, Ewha Womans University)
Publication Information
Journal of Korea Game Society / v.18, no.6, 2018 , pp. 69-82 More about this Journal
Abstract
The need of high quality VR contents has been steadily raised in recent years. Therefore, this study investigated the user's interest factors of VR game which is receiving the most attention among VR contents. We used STEAM review data and applied Text mining and Network analysis to perform this research. As a result, it was possible to confirm 4 word clusters related VR game users. Each cluster is named by 'presence', 'first person view game', 'auditory factor' and 'interaction'. This study has its meaning. First, user related research would be very helpful to develop high quality VR game. Second, it confirms that review data of VR game users can be structured, analyzed and used.
Keywords
Virtual Reality; Text Mining; Review Data;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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