Leveraging Cluster Analysis to Understand Educational Game Player Experiences and Support Design
The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. As a game is subjected to large-scale player testing, the designers require inexpensive, automated methods for categorizing patterns of player-game interactions. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.
The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.