Fast Target Selection via Saccade-driven Methods

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dc.contributor.authorKomogortsev, Oleg V.
dc.contributor.authorRyu, Young Sam
dc.contributor.authorKoh, Do Hyong
dc.date.accessioned2012-06-10T22:59:25Z
dc.date.available2012-06-10T22:59:25Z
dc.date.issued2012-06-10
dc.description.abstractThree 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.
dc.description.departmentComputer Science
dc.description.sponsorshipNational Institute of Standards and Technology (NIST) under Grant #60NANB10D213, National Science Foundation (NSF) under Grant #DGE-11444666, and Texas State University-San Marcos
dc.formatText
dc.format.extent20 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationKomogortsev, 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.
dc.identifier.urihttps://hdl.handle.net/10877/4158
dc.language.isoen
dc.subjecttarget selection
dc.subjectsaccade
dc.subjectoculomotor plant
dc.subjectinteraction
dc.subjecthuman computer interaction
dc.subjectvideo game
dc.subjecteye movement classification
dc.subjectComputer Science
dc.titleFast Target Selection via Saccade-driven Methods
dc.typeTechnical Report

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