Modern computer games provide an ideal environment for the study of human behavior. Being closed worlds of considerable complexity, games allow for investigating behavior patterns, decision making, and preference modeling. Advances in these areas will improve game design and game play and have a high potential as enablers of future businesses. This requires mechanisms for recording and storage of large amounts of in-game data as well as efficient methods for the processing and analysis of large scale data sets.
Topics of interest for this special session include, but are not limited to, the following:
- in-game data collection
- efficient representations of in-game data
- algorithms for (large scale) game mining
- user modeling based on in-game data
- player evaluation and playability testing
- computational intelligence for behavior pattern analysis
- practical applications of game mining
- empirical studies based on in-game data
- future directions for in-game data mining
Session Organizers:
Christian Bauckhage, Olana Missura, Thomas Gaertner, Kristian Kersting and Christian Thurau
Fraunhofer Institute for Intelligent Analysis and Information Systems
