User Experience of Autonomous Ferries: What Passengers Need and How to Design for It
Felix-Marcel Petermann, Ole Andreas Alsos, Mina Saghafian, Erik Veitch, Grace Winifred Turner, Maria Letizia Potenza
Abstract
Designing autonomous public transport requires understanding how passengers experience such systems in real-world use. For autonomous ferries, however, little is known about how users interpret waterborne autonomy. We address this gap through post-ride interviews (N=164) from a public trial of an autonomous ferry held in Trondheim, Norway, in 2022. Our thematic analysis identifies several ferry-specific factors that shape the user experience (UX). The themes were formed around sensitivity to motion and docking, the readability of manoeuvres without a visible operator, expectations around on-demand timing, and accessibility challenges at the vessel-quay interface. From these findings, we propose six design guidelines that address embodied experience, transparency of autonomous behaviour, temporal predictability, accessibility across travel chains, and the redistribution of social informational roles traditionally held by the crew. These findings extend land-based autonomous vehicle research by revealing how waterborne contexts shape trust and acceptance. The contribution of this work is a set of actionable design guidelines to achieve a predictable, trustworthy, accessible, and reliable autonomous ferry service.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Related papers
- Mind the Kayak! Informing UX Design of Autonomous Vehicles through Edge Case Testing in the FieldOle Andreas Alsos, Mina Saghafian, Erik Veitch, Taufik Akbar Sitompul et al.CHI 2025 · 1 citation
- ExplAIn Yourself! Transparency for Positive UX in Autonomous DrivingTobias Schneider, Joana Hois, Alischa Rosenstein, Sabiha Ghellal et al.CHI 2021 · 74 citations
- Decoding Driver Intention Cues: Exploring Non-verbal Communication for Human-Centered Automotive InterfacesMohammad Faramarzian, Jorge Pardo, Ilan Mandel, Andry Rakotonirainy et al.CHI 2025 · 3 citations
- Fly Away: Evaluating the Impact of Motion Fidelity on Optimized User Interface Design via Bayesian Optimization in Automated Urban Air Mobility SimulationsLuca-Maxim Meinhardt, Clara Schramm, Pascal Jansen, Mark Colley et al.CHI 2025 · 5 citations
- Ready for the Touch: Exploring Users' Perceived Transparency of Robot Pre-Touch CuesRan Zhao, Zhaopeng Zhu, Xiaotong He, Yue Jiang et al.CHI 2026 · 2 citations
