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 García 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
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Published Date

2022

Language

English

Reuse Rights

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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.