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Data Mining Applied to a Serious Game of Memory and Attention Training

Abstract:

Serious games are software applications developed to achieve learning objectives during the user’s performance. One of the fields where these games are developed is the psychological domain, where applications to measure cognitive attention are widely developed. Multiple kind of data can be collected while it is running, and these data are related not only to demographics users’ variables but to performance indicators of the game. The controlled environment makes possible that different data mining techniques are applied to extract relevant information, features, or patterns. This work shows the application of data mining techniques on data collected from a serious game to describe patterns among players, the analyzed attributes were the game level and the responsive time; the results show a hidden pattern based on gender among players and their behavior across the different levels.