The use of eye movements in human-computer interaction techniques: what you look at is what you get
ACM Transactions on Information Systems (TOIS) - Special issue on computer—human interaction
Evaluation of eye gaze interaction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Design issues of iDICT: a gaze-assisted translation aid
ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
What's in the eyes for attentive input
Communications of the ACM
Features of Eye Gaze Interface for Selection Tasks
APCHI '98 Proceedings of the Third Asian Pacific Computer and Human Interaction
Gazing and frowning as a new human--computer interaction technique
ACM Transactions on Applied Perception (TAP)
Proceedings of the 1st Conference on Novel Gaze-Controlled Applications
Text entry by gazing and smiling
Advances in Human-Computer Interaction
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The aim of this paper is to examine the learning processes that subjects undertake when they start using gaze as computer input. A 7-day experiment with eight Japanese students was carried out to record novice users' eye movement data during typing of 110 sentences. The experiment revealed that inefficient eye movements was dramatically reduced after only 15-25 sentences of typing, equal to approximately 3-4 h of practice. The performance data fits a general learning model based on the power law of practice. The learning model can be used to estimate further improvements in gaze typing performance. Our experimental results encourage the use of gaze-based interfaces for severely disabled people. This paper provides a taxonomy for gaze actions on dwell time-activated keys and it presents a method by which the learnability of gaze interfaces may be documented.