Experience-centred lens on automation surprise in non-critical automated driving: findings from an on-road WoZ study

Automation Surprise (AS) initially refers to moments when automated systems behave unexpectedly to the user, causing confusion and potentially leading to catastrophic consequences. While previous research primarily studied AS with safety-critical considerations, little is known about how users encounter and respond to such surprises during non-critical automated driving. To address this gap, we adopt an experience-centred lens to understand AS that builds on the pragmatist approach to experience in HCI and the sensemaking model of AS. Following design research traditions, we conducted a probe-based inquiry with a Wizard-of-Oz vehicle as an experience prototype on real roads, inviting participants to imagine being in an automated vehicle while engaging in non-driving-related activities. Through reflexive thematic analysis of think-aloud during the ride and post-hoc interviews, we identified AS as Direct and Indirect, and developed a conceptual categorisation along two dimensions: the nature of the surprise (positive to negative) and in-situ response level (high to low). Viewing AS through a pragmatist perspective on experience further demonstrates how AS is dynamic, situated, and relational. Our findings expand current understandings of AS beyond safety concerns to capture its experiential aspects, to inspire future experience-centred research and design in non-critical automated driving.

Authors

Institutions

Publication Details

Journal
Behaviour and Information Technology
Published
2026-06-28
DOI
https://doi.org/10.1080/0144929x.2026.2692097
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experience-centred lens on automation surprise in non-critical automated driving: findings from an on-road WoZ study

Miguel Bruns, Marieke Martens, Haoyu Dong, Mervyn Franssen et al.
Behaviour and Information Technology
Human-Automation Interaction and Safety
article

Experience-centred lens on automation surprise in non-critical automated driving: findings from an on-road WoZ study

Miguel Bruns, Marieke Martens, Haoyu Dong, Mervyn Franssen, Sichen Guo
article en

Abstract

Automation Surprise (AS) initially refers to moments when automated systems behave unexpectedly to the user, causing confusion and potentially leading to catastrophic consequences. While previous research primarily studied AS with safety-critical considerations, little is known about how users encounter and respond to such surprises during non-critical automated driving. To address this gap, we adopt an experience-centred lens to understand AS that builds on the pragmatist approach to experience in HCI and the sensemaking model of AS. Following design research traditions, we conducted a probe-based inquiry with a Wizard-of-Oz vehicle as an experience prototype on real roads, inviting participants to imagine being in an automated vehicle while engaging in non-driving-related activities. Through reflexive thematic analysis of think-aloud during the ride and post-hoc interviews, we identified AS as Direct and Indirect, and developed a conceptual categorisation along two dimensions: the nature of the surprise (positive to negative) and in-situ response level (high to low). Viewing AS through a pragmatist perspective on experience further demonstrates how AS is dynamic, situated, and relational. Our findings expand current understandings of AS beyond safety concerns to capture its experiential aspects, to inspire future experience-centred research and design in non-critical automated driving.

Behaviour and Information Technology
Eindhoven University of Technology (NL)
Openalex Percentile: Top 4%
Human-Automation Interaction and Safety
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.