Work

Measuring Passengers’ Comfort and Perceived Safety in Automated Driving: Good Practices, Challenges, and Opportunities

Year: 2025

Type: conference-paper

Abstract: Passenger comfort and perceived safety, as two psychological states, are crucial for user acceptance of automated driving.The accurate measurement of these passenger states contributes to humancentred designs for automated vehicles and developing predictive models for providing personalised settings.However, practical challenges and best practices are rarely discussed in the literature.This workshop aims to address this gap by creating a forum to synthesise current practices and explore novel, effective measurement approaches.The session includes expert talks on subjective, objective, and model-based measurement methodologies, and interactive breakout sessions.Participants will critically evaluate existing methodologies and design future multi-modal strategies, including incorporating artificial intelligence (AI).The workshop will produce numerous outcomes, including the collaborative development of a research outlook and a methodological paper for knowledge sharing.

Source: International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI)

DOI: 10.1145/3744335.3749142

Authors: Chen Peng, Pavlo Bazilinskyy, Yueteng Yu, Natasha Merat

Institutions: University of Leeds, Eindhoven University of Technology, Queensland University of Technology

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: European Commission