Computer Science
Eye-gaze with predictive link following improves accessibility as a mouse pointing interface
Document Type
Conference Paper
Abstract
We propose a target-Aware pointing approach to address one predominant problem in using eye-controlled mouse replacement software: The lack of high-precision movement. Our approach is based on Predictive Link Following [4], which alleviates the difficulties with link selection when using mouse replacement interfaces by predicting which link should be clicked based on the proximity of the cursor to the link. For cursor control via eye movement, an eye tracking algorithm was implemented using the Tobii EyeX device to detect and translate gaze location to screen coordinates. We conducted an experement comparing eye-gaze controlled mouse pointing with and without the Predictive Link following approach. Our results demonstrate increased accuracy of our system compared to just using eye-controlled mouse pointing.
Publication Title
ASSETS 2016 - Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility
Publication Date
2016
First Page
297
Last Page
298
ISBN
9781450341240
DOI
10.1145/2982142.2982208
Keywords
accessibilty, eye-gaze interfaces, mouse replacement interfaces, target-aware pointing
Repository Citation
Jason, Vazquez Li; Stachecki, Lyle Pierson; and Magee, John, "Eye-gaze with predictive link following improves accessibility as a mouse pointing interface" (2016). Computer Science. 27.
https://commons.clarku.edu/faculty_computer_sciences/27
APA Citation
Vazquez-Li, J., Pierson Stachecki, L., & Magee, J. (2016, October). Eye-gaze with predictive link following improves accessibility as a mouse pointing interface. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 297-298).