The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21603678

Wilbert Tabone; R. (Riender) Happee; Jorge Garcia de Pedro; Yee Mun Lee; Maria Luce Lupetti et. al. (2023): Supplementary materials for the article: Augmented reality interfaces for pedestrian-vehicle interactions: An online study. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21603678.v1

Dataset

• Other Psychology and Cognitive Sciences
• Other Information and Computing Sciences

Augmented Reality,, Automated vehicles, online questionnaire, pedestrian-vehicle interactions, road crossings, User Study, Vulnerable Road Users

CC0

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by Wilbert Tabone , R. (Riender) Happee , Jorge Garcia de Pedro , Yee Mun Lee , Maria Luce Lupetti , Natasha Merat , Joost de Winter

Supplementary data for the paper Tabone, W., Happee, R., García, J., Lee, Y.M., Lupetti, M.L., Merat, N., & De Winter, J.C.F. (2022). Augmented reality interfaces for pedestrian-vehicle interactions: An online study.

Data includes  an export of the questionnaire questions, the respondent raw data, all the videos utilised, and a supplementary video demonstrating all the interfaces operating in the VR environment. 

• 2023-03-07 first online, published, posted

4TU.ResearchData

PDF, ZIP, MP4, TXT

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

• Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow (grant code 860410) [more info...] European Commission

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive Robotics