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

Poster (2022)
Author(s)

W. Tabone (TU Delft - Human-Robot Interaction)

R Happee (TU Delft - Intelligent Vehicles)

Jorge García (University of Leeds)

Y. M. Lee (University of Leeds)

M.L. Lupetti (TU Delft - Form and Experience)

Natasha Merat (University of Leeds)

Joost de Winter (TU Delft - Human-Robot Interaction)

Research Group
Human-Robot Interaction
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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Publication Year
2022
Language
English
Copyright
© 2022 W. Tabone, R. Happee, Jorge García De Pedro, Yee Mun Lee, M.L. Lupetti, Natasha Merat, J.C.F. de Winter
Research Group
Human-Robot Interaction
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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.

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