Examining Engagement and Emotions in Financial Simulation Games

Abstract

The popularity of educational video games means that there is a need for methods to assess their content in terms of satisfaction and the educational element of the player right from the production stage. For this purpose, indices used in EEG studies and algorithms for detecting microexpression can be used. In the research work, the following devices, i.e. EEG, EyeTracker, were used for the engagement index and a film was shot to detect emotions at a later stage. The data were collected from five participants during the investment game created in MATLAB and online stock market simulator. Thanks to the use of the above-mentioned devices, it was found out whether the game connected only with investing evokes emotions and involvement.