A human operator model for medical device interaction using behavior-based hybrid automata
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 96933329
- Type
- D - Journal article
- DOI
-
10.1109/THMS.2015.2487509
- Title of journal
- IEEE Transactions on Human-Machine Systems
- Article number
- -
- First page
- 291
- Volume
- 46
- Issue
- 2
- ISSN
- 2168-2291
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2015
- URL
-
http://dx.doi.org/10.1109/THMS.2015.2487509
- 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
-
1
- Research group(s)
-
C - Cybersecurity, privacy and human centred computing
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is significant in being the first to demonstrate that a human operator model can be used to compare existing interfaces against simulations of interfaces that more closely mimic real-world physics. This process triages poor design choices before running traditional resource-intensive user studies. The work has informed multiple applications, including testing a contrast media injector computed tomography (https://doi.org/10.1145/3357495.3357500), motion planning in robots (https://doi.org/10.1109/CogInfoCom50765.2020.9237891) and brain-machine interface systems (https://doi.org/10.1109/TNSRE.2020.3009376). The work also led to an international workshop and collaboration on HCI systems at ACM SIGCHI 2021 (https://emergentinteraction.github.io/).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
