What you look at is what you get: eye movement-based interaction techniques
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '82 Proceedings of the 1982 Conference on Human Factors in Computing Systems
An eye-gaze input system using information on eye movement history
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
| Hi-index | 0.00 |
Lack of understanding of users' underlying decision making process results in the bottleneck of EB-HCI eye movement-based human-computer interaction systems. Meanwhile, considerable findings on visual features of decision making have been derived from cognitive researches over past few years. A promising method of decision prediction in EB-HCI systems is presented in this article, which is inspired by the looking behavior when a user makes a decision. As two features of visual decision making, gaze bias and pupil dilation are considered into judging intensions. This method combines the history of eye movements to a given interface and the visual traits of users. Hence, it improves the prediction performance in a more natural and objective way. We apply the method to an either-or choice making task on the commercial Web pages to test its effectiveness. Although the result shows a good performance only of gaze bias but not of pupil dilation to predict a decision, it proves that hiring the visual traits of users is an effective approach to improve the performance of automatic triggering in EB-HCI systems.