Emotion Estimation Using Text Mining and Heart Rate Data in Novel Games

Abstract

In recent years, there has been an increasing number of study to estimate player’s emotions in order to enhance game immersion. In this study, we focus on novel games. We suggest a method which estimate the player's emotions during play in advance by text mining the scenario and correct the estimation results with the player's heart rate. Using this method, we implemented a tool that continuously estimates the player's emotions.