Modeling Action Game Domains Using Latent Semantic Analysis

Player modeling has attracted the interest of game designers recently, as a personalized game offers more satisfaction. In this paper we propose modeling the semantic space of the action game SpaceDebris, in order to identify semantic similarities between players. To this end we employ Latent Semantic Analysis and attempt to identify latent underlying semantic information governing the various gaming styles. The several challenging research issues that arise when attempting to apply Latent Semantic Analysis to non-textual data, that describe a complex dynamic problem space, are addressed, and the framework of the experimental

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