Autor: |
Valeria Karpenko, Ekaterina Tulubenskaya, Denis Bulygin, Irina Busurkina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
Communications in Computer and Information Science ISBN: 9783030652173 |
DOI: |
10.1007/978-3-030-65218-0_9 |
Popis: |
Player experience is often difficult to understand, and it is not always clear to game developers which game features should be eliminated or maintained. By analyzing reviews of particular games, it is possible to create high-quality games and understand player psychology and game preferences. Our pilot study aimed to find out how people evaluate their game experience based on reviews on the Steam platform and to extract its main dimensions. By utilizing the Structural Topic Model (STM), we extended previous research on main components of game experience and found topics which were not discussed in previous works. Using the community detection method, we divided our topics into seven main dimensions that connect with different strength. Our research contributes more knowledge about the processes of evaluation as a whole and game evaluation in particular. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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