Assessing Training Methods for Advanced Driver Assistance Systems and Autonomous Vehicle Functions: Impact on User Mental Models and Performance
Download
Download
DownloadPreview
Assessing_Training_Methods_for_Advanced_Driver_Assistance_Systems.pdf
- Published Version
(2MB)
| Preview
Available under license: Creative Commons Attribution
Export
Murtaza, Mohsin 
ORCID: 0009-0006-4565-0244, Cheng, Chi-Tsun ORCID: 0000-0003-3306-6148, Fard, Mohammad ORCID: 0000-0002-5242-9162 and Zeleznikow, John ORCID: 0000-0002-8786-2644
(2024)
Assessing Training Methods for Advanced Driver Assistance Systems and Autonomous Vehicle Functions: Impact on User Mental Models and Performance.
Applied Sciences, 14 (6).
ISSN 2076-3417
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/48497 |
| DOI | 10.3390/app14062348 |
| Official URL | https://www.mdpi.com/2076-3417/14/6/2348 |
| Subjects | Current > FOR (2020) Classification > 4002 Automotive engineering Current > FOR (2020) Classification > 4608 Human-centred computing Current > Division/Research > Sir Zelman Cowen Centre |
| Keywords | ADAS; AV; driver training; mental model; text-based learning; video-based learning |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)