Usability and user experience of older adults in an autonomous vehicle: Insights from the autoELF high-fidelity prototype study

The aging population highlights the importance of mobility for older adults, which is crucial for their independence, social participation, health, and overall quality of life. Automated vehicles (AVs) offer a mobility option for those 65 and older, even if they can no longer or are unwilling to drive. While passengers are not responsible for driving during automated rides, they still need to operate the system. This usability study explores the effectiveness of the high-fidelity AV prototype, autoELF, created within the UNICAR agil project to meet the needs of multi-generational families. Fourteen participants ( M = 74 years old, SD = 6 years) tested the system in a vehicle lab, experienced a simulated ride to the theater, and completed all required tasks to operate the AV. We measured effectiveness, efficiency, and satisfaction for each task. In post-session interviews, participants shared their experiences. Most could perform familiar tasks like entering and buckling up but found unfamiliar ones, such as starting the ride with a button or planning a route via a tablet, more challenging. Consistent with previous research, participants generally reported a positive initial experience with AVs. Based on these results, we recommend design improvements for each user interface to support age-sensitive AV development.

Authors

Institutions

Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2026-09-28
DOI
https://doi.org/10.1016/j.trip.2026.102285
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
article

Usability and user experience of older adults in an autonomous vehicle: Insights from the autoELF high-fidelity prototype study

Tobias Schräder, Kerstin Kuhlmann, Leon Johann Brettin, Vanessa Schmidt et al.
Transportation Research Interdisciplinary Perspectives
Human-Automation Interaction and Safety
article

Usability and user experience of older adults in an autonomous vehicle: Insights from the autoELF high-fidelity prototype study

Tobias Schräder, Kerstin Kuhlmann, Leon Johann Brettin, Vanessa Schmidt, Markus Maurer
article en

Abstract

The aging population highlights the importance of mobility for older adults, which is crucial for their independence, social participation, health, and overall quality of life. Automated vehicles (AVs) offer a mobility option for those 65 and older, even if they can no longer or are unwilling to drive. While passengers are not responsible for driving during automated rides, they still need to operate the system. This usability study explores the effectiveness of the high-fidelity AV prototype, autoELF, created within the UNICAR agil project to meet the needs of multi-generational families. Fourteen participants ( M = 74 years old, SD = 6 years) tested the system in a vehicle lab, experienced a simulated ride to the theater, and completed all required tasks to operate the AV. We measured effectiveness, efficiency, and satisfaction for each task. In post-session interviews, participants shared their experiences. Most could perform familiar tasks like entering and buckling up but found unfamiliar ones, such as starting the ride with a button or planning a route via a tablet, more challenging. Consistent with previous research, participants generally reported a positive initial experience with AVs. Based on these results, we recommend design improvements for each user interface to support age-sensitive AV development.

Transportation Research Interdisciplinary PerspectivesVol. 40
Technische Universität Braunschweig (DE)
Reduced inequalities
Openalex Percentile: Top 7%
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.