Conference proceeding
Inferring intent in eye-based interfaces: tracing eye movements with process models
Proceedings of the SIGCHI conference on Human Factors in Computing Systems, pp 254-261
01 May 1999
Abstract
While current eye-based interfaces offer enormous potential for efficient human-computer interaction, they also manifest the difficulty of inferring intent from user eye movements. This paper describes how fixation tracing facilitates the interpretation of eye movements and improves the flexibility and usability of eye-based interfaces. Fixation tracing uses hidden Markov models to map user actions to the sequential predictions of a cognitive process model. In a study of eye typing, results show that fixation tracing generates significantly more accurate interpretations than simpler methods and allows for more flexibility in designing usable interfaces. Implications for future research in eye-based interfaces and multimodal interfaces are discussed.
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63 citations in Scopus
Details
- Title
- Inferring intent in eye-based interfaces
- Creators
- Dario D. Salvucci - Carnegie Mellon University
- Publication Details
- Proceedings of the SIGCHI conference on Human Factors in Computing Systems, pp 254-261
- Conference
- CHI99: Conference on Human Factors in Computing Systems (1999)
- Series
- ACM Conferences
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Scopus ID
- 2-s2.0-0032642175
- Other Identifier
- 991021869103904721