Testing pointing device performance and user assessment with the ISO 9241, Part 9 standard
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Manual and gaze input cascaded (MAGIC) pointing
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Evaluation of eye gaze interaction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Identifying fixations and saccades in eye-tracking protocols
ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
EyePoint: practical pointing and selection using gaze and keyboard
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving hands-free menu selection using eyegaze glances and fixations
Proceedings of the 2008 symposium on Eye tracking research & applications
Improving the accuracy of gaze input for interaction
Proceedings of the 2008 symposium on Eye tracking research & applications
Proceedings of the 2008 symposium on Eye tracking research & applications
Kalman filtering in the design of eye-gaze-guided computer interfaces
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Evaluating eye tracking with ISO 9241 - part 9
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Instantaneous saccade driven eye gaze interaction
Proceedings of the International Conference on Advances in Computer Enterntainment Technology
Biometric identification via an oculomotor plant mathematical model
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Real time eye movement identification protocol
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Adaptive eye-gaze-guided interfaces: design & performance evaluation
CHI '11 Extended Abstracts on Human Factors in Computing Systems
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This paper evaluates the input performance capabilities of Velocity Threshold (I-VT) and Kalman Filter (I-KF) eye movement detection models when employed for eye-gaze-guided interface control. I-VT is a common eye movement identification model employed by the eye tracking community, but it is neither robust nor capable of handling high levels of noise present in the eye position data. Previous research implies that use of a Kalman filter reduces the noise in the eye movement signal and predicts the signal during brief eye movement failures, but the actual performance of I-KF was never evaluated. We evaluated the performance of I-VT and I-KF models using guidelines for ISO 9241 Part 9 standard, which is designed for evaluation of non keyboard/mouse input devices with emphasis on performance, comfort, and effort. Two applications were implemented for the experiment: 1) an accuracy test 2) a photo viewing application specifically designed for eye-gaze-guided control. Twenty-one subjects participated in the evaluation of both models completing a series of tasks. The results indicates that I-KF allowed participants to complete more tasks with shorter completion time while providing higher general comfort, accuracy and operation speeds with easier target selection than the I-VT model. We feel that these results are especially important to the engineers of new assistive technologies and interfaces that employ eye-tracking technology in their design.