Is conditionally automated driving a bad idea? Observations from an on-road study in automated vehicles with multiple levels of driving automation
Journal article, 2025

With the increasing adoption of driving automation technologies, vehicles equipped with SAE Level 3 driving automation are becoming available on the market. This study explores drivers’ behaviour when driving conditionally automated vehicles on-road, providing multiple levels of driving automation. Sixteen participants drove a Wizard-of-Oz vehicle offering several levels of automation (Manual, SAE Level 2 and Level 3) on a public highway. Data was collected during driving sessions (observations and think-aloud) and post-driving sessions (in-depth interviews). The results indicate that drivers show errors in mode transitions and mode awareness. These errors include unintended deactivation of Level 2 driving automation, confusion about driving modes after disengaging Level 3 driving automation, and confusion about the current driving mode. These findings highlight a fundamental limitation in the design of automation systems when humans are required to operate multiple modes within a single system, making it challenging to distinguish between them clearly. This ambiguity and lack of understanding affected how drivers interacted with, interpreted, and responded to the automated vehicle. The study provides insights for designing automated vehicles with multiple levels of driving automation, aiming to improve mode awareness and overall safety.

human-machine interaction

mode awareness

driving automation

Author

Soyeon Kim

Delft University of Technology

Fjollë Novakazi

Chalmers, Industrial and Materials Science, Design & Human Factors

Marianne Karlsson

Chalmers, Industrial and Materials Science, Design & Human Factors

Applied Ergonomics

0003-6870 (ISSN) 1872-9126 (eISSN)

Vol. 129 104617

Semi-autonomous driving and its effect on mode-awareness and user experience

VINNOVA (2017-01946), 2017-10-02 -- 2021-12-31.

Areas of Advance

Information and Communication Technology

Transport

Subject Categories (SSIF 2025)

Psychology

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1016/j.apergo.2025.104617

More information

Latest update

8/26/2025