Improving Player Engagement inTetris Through EDR Monitoring

Sammanfattning: When designing computer games, one is often interested in evoking feelings of engagement, enjoyment and challenge in the player. One way of doing so is dynamically adjusting the difficulty of the game. Traditionally, this adjustment has been based on the performance of the player. However, in recent years there has been an increased interest in dynamically adjusting the difficulty level of a game based on physiological signals from the player. In this Bachelor’s project, we have studied the effect of using an electrodermal activity (EDA) wristband sensor as the source signal for the difficulty adjustment algorithm and compared it to the traditional approach of using the performance of the player. We developed two Tetris games, one EDA controlled and one performance controlled, and let participants play them both. Each game session was followed by a questionnaire. Our results show that, although participants reported an increased sense of engagement and challenge when playing the EDA version, further research is necessary before the usefulness of EDA in this setting can be established.