Fast Target Selection via Saccade-driven Methods




Komogortsev, Oleg V.
Ryu, Young Sam
Koh, Do Hyong

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Three fast, saccade driven, target selection methods are explored. The first method selects a target at the beginning of a saccade with the objective of providing target selection in almost constant amount of time regardless of the distance to the target. The second method selects a target at the end of a saccade. The third is a hybrid method combining the speed of the saccade-driven selection with the accuracy of the conventional Dwell-Time selection. Theoretical evaluation of the proposed methods conducted via characteristics of the Human Visual System and a mathematical model of the human eye indicates that the objective is tenable. Practical evaluation of the proposed methods is conducted with the Multi-Directional Fitts' Law task and with a real-time eye-gaze-guided video game designed to simulate gaming environments where selection speed of a target is of outmost importance. The results indicate that proposed methods show an increased throughput and task completion performance compared to the conventional Dwell-Time target selection method.



target selection, saccade, oculomotor plant, interaction, human computer interaction, video game, eye movement classification, Computer Science


Komogortsev, O. V., Ryu, Y. S., & Koh, D. H. (2012). Fast target selection via saccade-driven methods (Report No. TXSTATE-CS-TR-2012-6). Texas State University-San Marcos, Department of Computer Science.


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