Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)

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Toward Automated Driver Training: A Usability Evaluation of a Driving Skills Training System

Authors
Jin-Long Lin1, Chen-Rao Zhong1, Peng Liu2, Meng-Cong Zheng3, *
1Doctoral Program in Design, College of Design, National Taipei University of Technology, Taiwan, China
2Huizhou Desay SV Automotive Company Ltd., Huizhou, Guangdong, China
3Department of Industrial Design, National Taipei University of Technology, Taiwan, China
*Corresponding author. Email: zmcdesign@mail.ntut.edu.tw
Corresponding Author
Meng-Cong Zheng
Available Online 31 May 2026.
DOI
10.2991/978-94-6239-691-3_44How to use a DOI?
Keywords
Driving skills training; In-vehicle human-machine interface; Human-computer interaction; User experience; Usability evaluation
Abstract

With the rapid advancement of intelligent driving and human machine interaction technologies, an increasing number of in-vehicle applications are being integrated into real driving contexts. In this study, we investigate the interaction design of an innovative in-vehicle application, the Driving Skills Training (DST) system, and evaluate its usability in automated driver training scenarios. To identify potential usability challenges in real use, a formative usability evaluation of the DST system was conducted. Participants’ subjective perceptions of system usability and user experience were measured using the system usability scale and the AttrakDiff Mini questionnaire, while usability issues and operational difficulties were documented through the think-aloud protocol. The results provide empirical evidence for optimizing interface design and refining system functionality of DST systems, and offer design implications for future in-vehicle training systems that support automated driver training.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 May 2026
ISBN
978-94-6239-691-3
ISSN
2667-128X
DOI
10.2991/978-94-6239-691-3_44How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jin-Long Lin
AU  - Chen-Rao Zhong
AU  - Peng Liu
AU  - Meng-Cong Zheng
PY  - 2026
DA  - 2026/05/31
TI  - Toward Automated Driver Training: A Usability Evaluation of a Driving Skills Training System
BT  - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
PB  - Atlantis Press
SP  - 434
EP  - 440
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-691-3_44
DO  - 10.2991/978-94-6239-691-3_44
ID  - Lin2026
ER  -