Game Analytics has gained a tremendous amount of attention in game development and game research in recent years.
The widespread adoption of data-driven business intelligence practices at operational, tactical, and strategic levels in the game industry, combined with the integration of quantitative measures in user-oriented game research, has caused a paradigm shift. Historically, game development has not been data-driven, but this is changing as the benefits of adopting and adapting analytics to inform decision making across all levels of the industry are becoming generally known and accepted.
The group investigates game analytics techniques, including data mining, visualization, and tools to investigate the use of analytics to make business and design decisions as well as study human behavior triangulating telemetry data with affective, eye tracking and self report measures.
Students: Bardia Aghabeigi, PhD Student, College of Computer and Information Science
- Seif El-Nasr, M., Drachen, A., and Canossa, A. (editors). (2013) Game Analytics: Maximizing the Value of Player Data. Springer.
- Gagne, A., Seif El-Nasr, M. and Shaw, C. (2012). Analysis of Telemetry Data from a Real-Time Strategy Game: A Case Study. ACM Computers in Entertainment, Vol 10, No. 3.
- Canossa, A., Drachen, A., and Sorensen, J. (2011) Arrrgghh!!!: blending quantitative and qualitative methods to detect player frustration. Foundations of Digital Games.