Dataset on passenger experience after riding an autonomous ferry

Autonomous vehicles are being increasingly tested for transportation applications, yet investigations of user experience remain relatively rare. This paper presents a dataset of questionnaire responses (N = 146) investigating user experience of passengers on board an autonomous ferry in Norway. The ferry was the "milliAmpere2," an autonomous urban ferry owned and operated by the Norwegian University of Science and Technology (NTNU). The dataset consisted of 46 question items across four categories: (i) demographics and background information, (ii) passenger experience, (iii) passenger attitudes, and (iv) feedback on the ferry's design characteristics. Responses were provided voluntarily using a digital survey tool during free-of-charge public trials held between 25 June and 24 August 2024. The dataset provides empirical data on passengers' experience on board an autonomous ferry. This contributes to design, engineering, urban planning, and social science research related to the use and adoption of autonomous vehicles in public transportation.

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Publication Details

Journal
Data in Brief
Published
2025-02-03
DOI
https://doi.org/10.1016/j.dib.2025.111369
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Dataset on passenger experience after riding an autonomous ferry

Taufik Akbar Sitompul, E. Veitch, Ole Andreas Alsos
Data in Brief
Human-Automation Interaction and Safety
article

Dataset on passenger experience after riding an autonomous ferry

Taufik Akbar Sitompul, E. Veitch, Ole Andreas Alsos
article en

Abstract

Autonomous vehicles are being increasingly tested for transportation applications, yet investigations of user experience remain relatively rare. This paper presents a dataset of questionnaire responses (N = 146) investigating user experience of passengers on board an autonomous ferry in Norway. The ferry was the "milliAmpere2," an autonomous urban ferry owned and operated by the Norwegian University of Science and Technology (NTNU). The dataset consisted of 46 question items across four categories: (i) demographics and background information, (ii) passenger experience, (iii) passenger attitudes, and (iv) feedback on the ferry's design characteristics. Responses were provided voluntarily using a digital survey tool during free-of-charge public trials held between 25 June and 24 August 2024. The dataset provides empirical data on passengers' experience on board an autonomous ferry. This contributes to design, engineering, urban planning, and social science research related to the use and adoption of autonomous vehicles in public transportation.

Data in BriefVol. 59
Norwegian University of Science and Technology (NO)
Science Foundation Ireland, Norges Forskningsråd
Openalex Percentile: Top 98%
Human-Automation Interaction and Safety
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Dataset on passenger experience after riding an autonomous ferry — Taufik Akbar Sitompul, E. Veitch, et al. · Data in Brief (2025) | TGRS Research Map | TGRS