A feasibility study in using facial expressions analysis to evaluate player experiences
Current quantitative methods of measuring player experience in games are mostly intrusive to play and less suited to natural, non-laboratory play environments. This paper presents an initial study to validate the feasibility of using facial expressions analysis for evaluating player experiences. It builds on a prior position that video-based computer vision techniques can provide a less intrusive and more versatile solution for automatic evaluation of game user experiences. A user study was performed on an initial group of participants in a first-person puzzle shooter game (Portal 2) and a social drawing trivia game (Draw My Thing), and the results are shown to support our position.