Efficient human-machine control with asymmetric marginal reliability input devices
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-12022
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0233603
- Title of journal
- PLoS ONE
- Article number
- e0233603
- First page
- -
- Volume
- 15
- Issue
- 6
- ISSN
- 1932-6203
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2020
- URL
-
http://eprints.gla.ac.uk/215754/
- 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
-
4
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: This paper presents the first application of feedback error-correcting codes in user interfaces, for the first time implementing practical bounded-error control with arbitrarily noisy human input devices. SIGNIFICANCE: This work has direct utility in improving brain-computer interfaces, assistive technologies and other interfaces with unreliable input devices. RIGOUR: The paper presents a rigorous theoretical treatment of errors in user interfaces; a detailed exposition of feedback coding algorithms for user interfaces; an extensive set of Monte Carlo numerical simulations under many conditions; and a thorough quantitative evaluation with human users.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -