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Eye typing using word and letter prediction and a fixation algorithm
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Eye Tracking Research & Application archive
Proceedings of the 2008 symposium on Eye tracking research & applications table of contents
Savannah, Georgia
SESSION: Late breaking results: oral presentations table of contents
Pages 55-58  
Year of Publication: 2008
ISBN:978-1-59593-982-1
Authors
I. Scott MacKenzie  York University, Toronto, Canada
Xuang Zhang  York University, Toronto, Canada
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

Two eye typing techniques and a fixation algorithm are described. Similar to word prediction, letter prediction chooses three highly probable next letters and highlights them on an onscreen keyboard. Letter prediction proved promising, as it was as good as word prediction, and in some cases better. The fixation algorithm chooses which button to select for eye-over highlighting. It often chooses the desired button even if another button is closer to the fixation location. Error rates were reduced when using the fixation algorithm combined with letter prediction; however, the algorithm was sensitive to the correctness of the first several letters in a word.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collins, J. F. & Blackwell, L. K. 1974. Effects of eye dominance and retinal distance on binocular rivalry, Perceptual Motor Skills, 39, 747--754.
 
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Ward, D. J. & MacKay, D. J. C. 2002. Fast hands-free writing by gaze direction, Nature, 418, 838.
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Collaborative Colleagues:
I. Scott MacKenzie: colleagues
Xuang Zhang: colleagues