Player modeling is the process of creating computational representations of players' behaviors, preferences, and strategies in gaming or interactive environments. It utilizes data analysis and machine learning techniques to predict player actions and enhance user experience by personalizing gameplay and adapting game mechanics to individual player profiles.
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Player modeling is the process of creating computational representations of players' behaviors, preferences, and strategies in gaming or interactive environments. It utilizes data analysis and machine learning techniques to predict player actions and enhance user experience by personalizing gameplay and adapting game mechanics to individual player profiles.
Feedback on player experience and behaviour can be invaluable to game designers, but there is need for specialised knowledge discovery tools to deal with high volume playtest data. We describe a study with a commercial third-person... more
Feedback on player experience and behaviour can be invaluable to game designers, but there is need for specialised knowledge discovery tools to deal with high volume playtest data. We describe a study with a commercial third-person shooter, in which integrated player activity and experience data was captured and mined for design-relevant knowledge. We demonstrate that association rule learning and rule templates can be used to extract meaningful rules relating player activity and experience during combat. We ...