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
Information seeking in electronic environments
Information seeking in electronic environments
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
Manual and gaze input cascaded (MAGIC) pointing
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
CHI '82 Proceedings of the 1982 Conference on Human Factors in Computing Systems
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Determining the informational, navigational, and transactional intent of Web queries
Information Processing and Management: an International Journal
Social interactions in HRI: the robot view
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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We propose a new approach for a human's implicit intention recognition system based on an eyeball movement pattern analysis. In this paper, we present a comprehensive classification of human's implicit intention. Based on Bernard's research, we define the Human's implicit intention as informational and navigational intent. The intent for navigational searching is to locate a particular interesting object in an input scene. The intent for informational searching is to locate interesting area concerning a particular topic in order to obtain information from a specific location. In the proposed model, eyeball movement pattern analysis is considered for classifying the two different types of implicit intention. The experimental results show that the proposed model generates plausible recognition performance using a fixation length and counts with a simple nearest neighborhood classifier.