Game development data analysis visualized with virtual reality
Chih‐Wei Chen, Taoi Hsu · 2018 IEEE International Conference on Applied System Invention (ICASI) · 2018
This project aims to improve the information visualization by means of emerging virtual reality technology. A game development and management information is used as the pilot research. Data analysis algorithm is developed in data cluster, data correlation and data regularity verified by the state of art algorithms. To visual the significant analyzed data is employed by the virtual reality allowing game developer and users effectively to mining and support a immersive visualization platform leading a less risk decision making manner. A Unity 3D tools is employed to establish the virtual reality platform. This research takes K-Means clustering algorithm as the method to present three dimension space and then connect information visualization with virtual reality. This research proposed some advantages in this clustering analysis including (1) highly immersion (2) hidden information mining (3) extra spatial dimension (4) intuition operation mode (5) infinite display space.