ReType : Quick Text Editing with Keyboard and Gaze
- Submitting institution
-
The University of Bath
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 190669786
- Type
- E - Conference contribution
- DOI
-
10.1145/3290605.3300433
- Title of conference / published proceedings
- CHI 2019: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3290605.3300433&file=paper203.mp4&download=true
- 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
-
2
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- CHI is the top Human-Computer Interaction conference. The paper received top reviewer scores and a CHI best paper award. It shows how gaze and keyboard input can be effectively combined to improve productivity when editing text. Users can edit different parts of the text quickly without switching the hand between keyboard and mouse. A patent was filed to protect the IP outlined in this paper.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -