Analyzing Log File Data to Understand Players

There is great interest in using games to assess players’ knowledge, skills, and abilities. However, while games are capable of collecting information about micro-processes of players as they move through the environment, procedures for translating this information into inferences about player proficiencies are not well known. This workshop introduced participants to specific techniques for uncovering patterns in log file data. Techniques were introduced to uncover player groups, action clusters, and patterns of action that illuminate differences between players at different levels of constructs of interest.