Erdem Murat, Liuchuan Yu, Siraj Sabaj, Haikun Huang, Lap-Fai Yu
ACM UIST 23’ Under review
• Proposed a novel application that uses machine learning to predict users’ difficulty perception in virtual reality games.
• Addressed issues in VR game design by adapting decades of non-VR game design and gameplay engineering research.
• Obtained IRB certificate, collected data by conducting 70+ user studies, and trained a recurrent neural network to understand recurring relationships between game parameters, user data, and gameplay data.