An evaluation of an eye tracker as a device for computer input2
CHI '87 Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface
Evaluation of eye gaze interaction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Eye gaze interaction with expanding targets
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Gazing and frowning as a new human--computer interaction technique
ACM Transactions on Applied Perception (TAP)
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
Efficient eye pointing with a fisheye lens
GI '05 Proceedings of Graphics Interface 2005
The vocal joystick:: evaluation of voice-based cursor control techniques
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
A Fitts Law comparison of eye tracking and manual input in the selection of visual targets
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Modeling dwell-based eye pointing target acquisition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Only one Fitts' law formula please!
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Augmentative and alternative communication: the future of text on the move
ERCIM'02 Proceedings of the User interfaces for all 7th international conference on Universal access: theoretical perspectives, practice, and experience
Look & touch: gaze-supported target acquisition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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An experiment is described comparing the performance of an eye tracker and a mouse in a simple pointing task. Subjects had to make rapid and accurate horizontal movements to targets that were vertical ribbons located at various distances from the cursor's starting position. The dwell-time protocol was used for the eye tracker to make selections. Movement times were shorter for the mouse than for the eye tracker. Fitts' Law model was shown to predict movement times using both interaction techniques equally well. The model is thus seen to be a potential contributor to design of modern multimodal human-computer interfaces.