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

要旨

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.

受賞
Honorable Mention
キーワード
Visual Game Analytics
Playtesting
Information Visualization
Gaze
Emotions
Movement Analysis
著者
Daniel Kepplinger
University of Applied Sciences Upper Austria, Hagenberg, Austria
Günter Wallner
Eindhoven University of Technology, Eindhoven, Netherlands
Simone Kriglstein
University of Vienna & AIT Austrian Institute of Technology GmbH, Vienna, Austria
Michael Lankes
University of Applied Sciences Upper Austria, Hagenberg, Austria
DOI

10.1145/3313831.3376401

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems

セッション: A closer look at players

Paper session
Paper
313B O'AHU
2020-04-28 23:00:00
2020-04-29 00:15:00
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