Abstract
This work studies the use of a conventional eye tracking system for analysis of an online game player's thinking processes. For this purpose, the eye gaze data of several users playing a simple online turn-based checkers game were recorded and made available in real-time to gaze-informed players. The motivation behind this work is to determine if making the eye-gaze data available can help these players to predict the gaze-tracked opponent player's further moves, and also how this can be most effectively done. We also tested different orientations of the screen on which the gaze data were displayed. By our visual and algorithmic analysis we validated (1) that prediction is possible and (2) that accuracy highly depends on the moves of players throughout the game as well as on the screen orientation. We believe that our study has implications on visual problem solving in general, especially in collaborative scenarios.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - ETVIS 2018 |
| Subtitle of host publication | Eye Tracking and Visualization |
| Editors | Stephen N. Spencer |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery, Inc |
| Number of pages | 5 |
| ISBN (Electronic) | 978-1-4503-5787-6 |
| DOIs | |
| Publication status | Published - 15 Jun 2018 |
| Event | 3rd Workshop on Eye Tracking and Visualization, ETVIS 2018 - Warsaw, Poland Duration: 15 Jun 2018 → … |
Conference
| Conference | 3rd Workshop on Eye Tracking and Visualization, ETVIS 2018 |
|---|---|
| Country | Poland |
| City | Warsaw |
| Period | 15/06/18 → … |
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Keywords
- Cognition
- Eye gazes
- Eye-tracking
- Heat map
- Visual analytics
- Visualization
Cite this
}
Visual analysis of eye gazes to assist strategic planning in computer games. / Kumar, Ayush; Burch, Michael; Mueller, Klaus.
Proceedings - ETVIS 2018: Eye Tracking and Visualization. ed. / Stephen N. Spencer. New York : Association for Computing Machinery, Inc, 2018. 6.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Visual analysis of eye gazes to assist strategic planning in computer games
AU - Kumar, Ayush
AU - Burch, Michael
AU - Mueller, Klaus
PY - 2018/6/15
Y1 - 2018/6/15
N2 - This work studies the use of a conventional eye tracking system for analysis of an online game player's thinking processes. For this purpose, the eye gaze data of several users playing a simple online turn-based checkers game were recorded and made available in real-time to gaze-informed players. The motivation behind this work is to determine if making the eye-gaze data available can help these players to predict the gaze-tracked opponent player's further moves, and also how this can be most effectively done. We also tested different orientations of the screen on which the gaze data were displayed. By our visual and algorithmic analysis we validated (1) that prediction is possible and (2) that accuracy highly depends on the moves of players throughout the game as well as on the screen orientation. We believe that our study has implications on visual problem solving in general, especially in collaborative scenarios.
AB - This work studies the use of a conventional eye tracking system for analysis of an online game player's thinking processes. For this purpose, the eye gaze data of several users playing a simple online turn-based checkers game were recorded and made available in real-time to gaze-informed players. The motivation behind this work is to determine if making the eye-gaze data available can help these players to predict the gaze-tracked opponent player's further moves, and also how this can be most effectively done. We also tested different orientations of the screen on which the gaze data were displayed. By our visual and algorithmic analysis we validated (1) that prediction is possible and (2) that accuracy highly depends on the moves of players throughout the game as well as on the screen orientation. We believe that our study has implications on visual problem solving in general, especially in collaborative scenarios.
KW - Cognition
KW - Eye gazes
KW - Eye-tracking
KW - Heat map
KW - Visual analytics
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85063572332&partnerID=8YFLogxK
U2 - 10.1145/3205929.3205935
DO - 10.1145/3205929.3205935
M3 - Conference contribution
AN - SCOPUS:85063572332
BT - Proceedings - ETVIS 2018
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery, Inc
CY - New York
ER -