# Dataset on passenger experience after riding an autonomous ferry

## TL;DR

This paper shares a dataset of passenger experiences from an autonomous ferry in Norway, offering insights into user experience and attitudes toward autonomous transportation.

## Contribution

The paper introduces a novel dataset of user experiences from an autonomous ferry, supporting research in transportation design and adoption.

## Key findings

- The dataset includes 146 responses from passengers of an autonomous ferry in Norway.
- The data covers demographics, experience, attitudes, and feedback on ferry design.
- The dataset supports research in transportation design, engineering, and social sciences.

## 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.