Orbits : gaze interaction for smart watches using smooth pursuit eye movements
- Submitting institution
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The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 226226481
- Type
- E - Conference contribution
- DOI
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10.1145/2807442.2807499
- Title of conference / published proceedings
- UIST '15 Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology
- First page
- 457
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- November
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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E - Interactive Systems
- Citation count
- 77
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work showed through rigorous experimentation that humans are able to select one from among several periodic motions robustly by gaze pursuit, even if these motions are small (0.6 degree in the visual field) and overlapping. It demonstrates a technologically highly innovative application of the scientific insight, in a smartwatch interface that is controllable solely by gaze. The publication was recognised as the single Best Paper at UIST'15 (1/297); included in ACM Computing Survey’s Top 100 Articles published in CS in 2015; invited for presentation at SIGGRAPH’16; and reported to millions world-wide (e.g. BBC TV, Wired UK/Japan, Yahoo Finance).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
