Detecting Player Goals from Game Log Files
Kristen Eignor DiCerbo, Khusro Kidwai · 2013
In this paper we describe the development of a detector of seriousness of pursuit of a particular goal in a digital game. As gaming researchers attempt to make inferences about player characteristics from their actions in open-ended gaming environments, understanding game players ’ goals can help provide an interpretive lens for those actions. This research uses Classification and Regression Tree methodology to develop and then cross-validate features of game play and related rules through which player behavior about pursuing a goal of completing a quest can be classified as serious or not serious.