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

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 the 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 driver-vehicle interaction.

Authors

Institutions

Publication Details

Published
2025-09-21
DOI
https://doi.org/10.1145/3744333.3747835
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
2.44

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Fjollë Novakazi, MariAnne Karlsson, Soyeon Kim
1 citations
Human-Automation Interaction and Safety
2.44
article

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

Fjollë Novakazi, MariAnne Karlsson, Soyeon Kim
article en
1 citations

Abstract

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 the 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 driver-vehicle interaction.

Örebro University (SE), Chalmers University of Technology (SE), Delft University of Technology (NL)
European Commission
Openalex Percentile: Top 9%
Human-Automation Interaction and Safety
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.