See, Feel Move - Player Behaviour Analysis through Combined Visualization of Gaze, Emotions, and Movement

Daniel Kepplinger, Günter Wallner, Simone Kriglstein, Michael Lankes

Research output: Chapter in Book or Conference ProceedingsConference Proceedings without Presentationpeer-review


Playtesting of games often relies on a mixed-methods approach to obtain more holistic insights about and, in turn, improve the player experience. However, triangulating the different data sources and visualizing them in an integrated manner such that they contextualize each other still proves challenging. Despite its potential value for gauging player behaviour, this area of research continues to be underexplored. In this paper, we propose a visualization approach that combines commonly tracked movement data with - from a visualization perspective rarely considered - gaze behaviour and emotional responses. We evaluated our approach through a qualitative expert study with five professional game developers. Our results show that both the individual visualization of gaze, emotions, and movement but especially their combination are valuable to understand and form hypotheses about player behaviour. At the same time, our results stress that careful attention needs to be paid to ensure that the visualization remains legible and does not obfuscate information.
Original languageEnglish
Title of host publicationCHI ´20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Number of pages14
Publication statusPublished - 2020

Research Field

  • Experience Business Transformation


  • Visual game analytics; playtesting; information visualization; gaze; emotions; movement analysis


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