Personalizing game spaces regarding individuals’ visual-motor skills

Abstract

In a game, players share the same game space and perform gameplays to achieve the same goal. Resulted by the skill difference among players, the difficulty of a game can be perceived differently. Some players may perform better than the game designers’ intended goal, and others may perform poorly. Herein lies the challenge: personalized game designs should be provided so that individuals can perform the score the designer intended. To do so, each individuals’ visual motor coordination skill was measured by the MTA model. After that, we developed a difficulty balancing technique that determines the game design based on the measured skill. At last, we introduce SML, three games with difficulty balancing technique applied. To verify that the model works, each player played both the personally designed and on average designed SML game. As a result, we were able to observe that the game with the personalized design was played as intended by designers. In addition, the game experience of players was observed through a survey.