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: 10.4121/13077797

Anees Kaleefathullah; Natasha Merat; Yee Mun Lee; Eisma, Yke Bauke; Ruth Madigan et. al. (2021): Supplementary materials for the paper: External Human-Machine Interfaces can be misleading: An examination of trust development and misuse in a CAVE-based pedestrian simulation environment. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/13077797.v2

Dataset

x choose version: version 1 - 2020-11-16

• Cognitive Sciences
• Ground Transport

Automated Driving, Communication, Pedestrians, Risk Perception, Vulnerable Road Users

CC0

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by Anees Kaleefathullah , Natasha Merat , Yee Mun Lee , Yke Bauke Eisma , Ruth Madigan , Jorge Garcia de Pedro , Joost de Winter

Supplementary data for the paper: Kaleefathullah, A. A., Merat, N., Lee, Y. M., Eisma, Y. B., Madigan, R., Garcia, J., & De Winter, J. C. F. External Human-Machine Interfaces can be misleading: An examination of trust development and misuse in a CAVE-based pedestrian simulation environment. Human Factors.

• 2020-11-16 first online

• 2021-10-04 published, posted

4TU.ResearchData

External Human-Machine Interfaces can be misleading: An examination of trust development and misuse in a CAVE-based pedestrian simulation environment

Institute for Transport Studies, University of Leeds, UK;
Cognitive Robotics Department, Delft University of Technology, The Netherlands