Augmented reality concepts for pedestrian-vehicle interactions: An online study

Poster (2022)

Authors

W. Tabone Human-Robot Interaction - Mechanical, Maritime and Materials Engineering
R. Happee Intelligent Vehicles - Mechanical, Maritime and Materials Engineering
Jorge Garcia de Pedro University of Leeds
Yee Mun Lee University of Leeds
M.L. Lupetti Design Aesthetics - IDE
Natasha Merat University of Leeds
J.C.F. de Winter Human-Robot Interaction - Mechanical, Maritime and Materials Engineering
Research Group
Human-Robot Interaction (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2022 W. Tabone, R. Happee, Jorge García De Pedro, Yee Mun Lee, M.L. Lupetti, Natasha Merat, J.C.F. de Winter
Augmented Reality Interaction Automated Pedestrians Vehicle Vulnerable road users Online study
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Mechanical, Maritime and Materials Engineering

Department

Cognitive Robotics

Research Group

Human-Robot Interaction

Abstract

Nine AR interfaces designed using an experience- based, and theoretically informed design approach, were presented in an online questionnaire for user evaluation.
Statistical analysis of presented measures, and the computation of an overall composite score revealed a preference towards traditional and familiar traffic elements.