Mind Over Matter - Investigating the Influence of Driver's Perception in the Misuse of Automated Vehicles
Paper in proceeding, 2025

As vehicles with several levels of automation become increasingly common, there is an increase in incidents involving the misuse of Driving Automation Systems (DAS). The manner in which drivers interact with DAS indicates that the problem extends beyond UI design. We investigate how drivers’ perceptions and expectations affect their understanding and consequent usage of DAS. The study employed a Wizard-of-Oz approach to simulate a vehicle with a Level 2 and Level 3 DAS on a public highway. Sixteen participants were exposed to the two driving modes and two distinct UIs. Observations, think-aloud protocols, and in-depth interviews documented their interaction with the different DAS. Irrespective of the UI, various errors were detected, including omission, commission, and mode confusion. Deeper investigation into the sources led to the conclusion that drivers’ preconceptions of the DAS were a major contributor, resulting in misuse. This highlights the need to look beyond UI design as a sole solution to address drivers' understanding and use of DAS.

perception

user study

automated vehicles

driving automation systems

field study

Author

Fjollë Novakazi

Chalmers, Industrial and Materials Science, Design & Human Factors

Örebro University

Soyeon Kim

Delft University of Technology

Marianne Karlsson

Chalmers, Industrial and Materials Science, Design & Human Factors

Proceedings of the International Conference on Automotive User Interfaces and Interactive Vehicular Application

117-128
979-8-4007-2013-0 (ISBN)

AutomotiveUI '25, The 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Brisbane, Australia,

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

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

Areas of Advance

Transport

Subject Categories (SSIF 2025)

Human Computer Interaction

Applied Psychology

DOI

10.1145/3744333.3747835

ISBN

9798400720130

More information

Latest update

11/19/2025