Abstract
Eye movements indicate visual attention and strategies during game play, regardless of whether in board, sports, or computer games. Additional factors such as individual vs. group play and active playing vs. observing game play further differentiate application scenarios for eye movement analysis. Visual analysis has proven to be an effective means to investigate and interpret such highly dynamic spatio-temporal data. In this paper, we contribute a classification strategy for different scenarios for the visual analysis of gaze data during game play. Based on an initial sample of related work, we derive multiple aspects comprising data sources, game mode, player number, player state, analysis mode, and analysis goal. We apply this classification strategy to describe typical analysis scenarios and research questions as they can be found in related work. We further discuss open challenges and research directions for new application scenarios of eye movements in game play.
Original language | English |
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Title of host publication | ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications |
Editors | Stephen N. Spencer |
Publisher | Association for Computing Machinery, Inc |
Pages | 1–5 |
ISBN (Electronic) | 9781450371346 |
ISBN (Print) | 978-1-4503-7134-6 |
DOIs | |
Publication status | Published - Jun 2020 |
Event | ETRA 2020 ACM Symposium on Eye Tracking Research and Applications - Stuttgart, Germany Duration: 2 Jun 2020 → 5 Jun 2020 https://etra.acm.org/2020/#:~:text=About%20ETRA%202020%3A,under%20the%20motto%20Bridging%20Communities. |
Conference
Conference | ETRA 2020 ACM Symposium on Eye Tracking Research and Applications |
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Abbreviated title | ETRA 2020 |
Country/Territory | Germany |
City | Stuttgart |
Period | 2/06/20 → 5/06/20 |
Internet address |
Keywords
- Eye tracking
- Games
- Interaction
- Visual analysis