Designing an Adaptive Interface: Using Eye Tracking to Classify How Information Usage Changes Over Time in Partially Automated Vehicles
- Submitting institution
-
Coventry University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 37655701
- Type
- D - Journal article
- DOI
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10.1109/ACCESS.2020.2966928
- Title of journal
- IEEE Access
- Article number
- 8960362
- First page
- 16865
- Volume
- 8
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents outcomes from an industrial collaboration with Jaguar Land Rover. Key technical recommendations from this paper were adopted in JLRs new Design Guidelines / Requirements, hence guiding the development of all JLRs future automated vehicles. This technical guidance will ensure that automated systems work effectively for all their future customers (lmalcol2@jaguarlandrover.com). Academic originality is high, as paper presents results from a driving simulator study conducted over five consecutive days, rather than drawing conclusions regarding use and trust of automated features from a single, one-off exposure. Interface design recommendations for use of adaptive interfaces were also made.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
