Supplementary materials for the article: Augmented reality interfaces for pedestrian-vehicle interactions: An online study.
doi: 10.4121/21603678.v1
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
doi: 10.4121/21603678
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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licence
![cc-0.png logo](/static/images/licenses/cc-0.png)
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.
history
- 2023-03-07 first online, published, posted
publisher
4TU.ResearchData
format
PDF, ZIP, MP4, TXT
associated peer-reviewed publication
Augmented reality interfaces for pedestrian-vehicle interactions: An online study
funding
- Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow (grant code 860410) [more info...] European Commission
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive Robotics
DATA
files (5)
-
741 bytesMD5:
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README.txt -
93,625,705 bytesMD5:
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Augmented_reality_interfaces_for_pedestrian-vehicle_interactions_An_online_study_Supplementary_video.mp4 -
107,907,305 bytesMD5:
5d00e90e76a0c3c09bc8f6322ccf80b2
Questionnaire.pdf -
1,466,015 bytesMD5:
93b5e3136aafe789c39a0d5a19a2cc5c
raw_data.xlsx -
276,334,579 bytesMD5:
fc2a7cb963dc1c9d263779676764ec7f
Videos.zip - download all files (zip)
479,334,345 bytes unzipped