Title
Evaluating Real-Time Gaze Representations To Infer Intentions In Competitive Turn-Based Strategy Games
Abstract
In this paper, we investigate nine different visual representations of gaze in a competitive digital game setting. We evaluate the ability of spectators to infer a player's intentions in the game for each visual representation. Our results show that spectators have a remarkable ability to infer intent accurately using all nine visualizations, but that visualizations with certain characteristics were more comprehensible and more readily revealed the player's intent. The real-time Heatmap visualization was the most highly preferred by participants and the most effective in revealing intent, due to its ability to balance real-time gaze information with a persistent summary of recent gaze behaviour. Our findings show that eye-tracking visualization can enable playful interactions in competitive games based on players' ability to interpret opponents' attention and intention through gaze information.
Year
DOI
Venue
2017
10.1145/3116595.3116624
CHI PLAY'17: PROCEEDINGS OF THE ANNUAL SYMPOSIUM ON COMPUTER-HUMAN INTERACTION IN PLAY
Keywords
Field
DocType
Eye tracking, Gaze, Nonverbal leakage, Shared gaze, Gaze awareness, Competitive Gaming, Intent Prediction
Gaze,Visualization,Turns, rounds and time-keeping systems in games,Simulation,Computer science,Eye tracking,Gaze awareness
Conference
Citations 
PageRank 
References 
10
0.63
18
Authors
5
Name
Order
Citations
PageRank
Joshua Newn16711.06
Eduardo Velloso240032.81
allison fraser3253.97
Yomna Abdelrahman47216.86
Frank Vetere51805143.63