Understanding Automation Surprise in Non-Critical Highly Automated Driving: An Initial On-Road Probing Study

As automated vehicles advance towards higher levels of automation, users are increasingly engaged in non-driving related activities, diverting their attention from the road and the vehicle’s operations. Even in non-critical conditions where automated driving is routine and uninterrupted, users may experience automation surprise (AS) when they fail to anticipate the vehicle’s behaviour, potentially impacting their comfort and acceptance of automated vehicles. To explore AS in non-critical automated driving scenarios from an experiential perspective beyond safety considerations, we conducted a pilot study using a qualitative analysis approach, on-road probing and the think-aloud method. Initial findings indicate an expanded understanding of AS, which can arise in non-critical conditions, accompanied by cognitive and emotional responses. Future research aims to validate and refine the expanded definition through a more comprehensive study and inform the development of effective AS mitigation strategies to improve the general user experience.

Authors

Institutions

Publication Details

Published
2024-09-17
DOI
https://doi.org/10.1145/3641308.3685019
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Automation Surprise in Non-Critical Highly Automated Driving: An Initial On-Road Probing Study

Miguel Bruns, Marieke Martens, Haoyu Dong, Mervyn Franssen et al.
1 citations
Human-Automation Interaction and Safety
0.64
article

Understanding Automation Surprise in Non-Critical Highly Automated Driving: An Initial On-Road Probing Study

Miguel Bruns, Marieke Martens, Haoyu Dong, Mervyn Franssen, Sanchayita Kainth
article en
1 citations

Abstract

As automated vehicles advance towards higher levels of automation, users are increasingly engaged in non-driving related activities, diverting their attention from the road and the vehicle’s operations. Even in non-critical conditions where automated driving is routine and uninterrupted, users may experience automation surprise (AS) when they fail to anticipate the vehicle’s behaviour, potentially impacting their comfort and acceptance of automated vehicles. To explore AS in non-critical automated driving scenarios from an experiential perspective beyond safety considerations, we conducted a pilot study using a qualitative analysis approach, on-road probing and the think-aloud method. Initial findings indicate an expanded understanding of AS, which can arise in non-critical conditions, accompanied by cognitive and emotional responses. Future research aims to validate and refine the expanded definition through a more comprehensive study and inform the development of effective AS mitigation strategies to improve the general user experience.

Eindhoven University of Technology (NL)
Openalex Percentile: Top 27%
Human-Automation Interaction and Safety
0.64
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.