Abstract
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 language | English |
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Title of host publication | CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery, Inc |
ISBN (Electronic) | 9781450367080 |
DOIs | |
Publication status | Published - 21 Apr 2020 |
Event | 2020 Conference on Human Factors in Computing Systems, CHI 2020 - Hawaiʻi Convention Center, Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020 https://chi2020.acm.org |
Conference
Conference | 2020 Conference on Human Factors in Computing Systems, CHI 2020 |
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Abbreviated title | CHI 2020 |
Country/Territory | United States |
City | Honolulu |
Period | 25/04/20 → 30/04/20 |
Internet address |
Keywords
- emotions
- gaze
- information visualization
- movement analysis
- playtesting
- visual game analytics