Abstract
Since the advent of HTML5, the development of web applications and libraries has been promoted. Web games using a web browser as a platform have become common due to the development efficiency in web application development. On the other hand, it is necessary to adjust tuning parameters such as sync0hronization methods and in-game parameters during development based on one's own experience and knowledge. To reduce the time required for such tuning and the time required for acquiring development knowledge, this study analyzes user assessment based on EEG information that suggests users' psychological load, questionnaire data after playing, latency time and packet arrival rate for each terminal, and log data of coordinates and input information in the game and develops a QoE metrics based on objective factors.
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Shiotsu, K., Kawano, Y., Murakami, Y., Hanawa, D., Hanada, M., Nunohiro, E. (2022). QoE Metrics in Real-Time Web Games. In: Barolli, L., Miwa, H., Enokido, T. (eds) Advances in Network-Based Information Systems. NBiS 2022. Lecture Notes in Networks and Systems, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-14314-4_49
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DOI: https://doi.org/10.1007/978-3-031-14314-4_49
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