Supplementary data for the paper 'Get out of the way! Examining eHMIs in critical driver-pedestrian encounters in a coupled simulator'

Datacite citation style:
Bazilinskyy, Pavlo; Kooijman, L. (Lars); Mallant, Kirsten; Roosens, Victor; Middelweerd, Marloes et. al. (2022): Supplementary data for the paper 'Get out of the way! Examining eHMIs in critical driver-pedestrian encounters in a coupled simulator'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20224281.v1
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Dataset
choose version: version 2 - 2022-07-12 (latest)
version 1 - 2022-07-11

Past research suggests that displays on the exterior of the car, known as eHMIs, can be effective in helping pedestrians to make safe crossing decisions. This study examines a new application of eHMIs, namely the provision of directional information in scenarios where the pedestrian is almost hit by a car. In an experiment using a head-mounted display and a motion suit, participants had to cross the road while a car driven by another participant approached them. The results showed that the directional eHMI caused pedestrians to step back compared to no eHMI. The eHMI increased the pedestrians’ self-reported understanding of the car’s intention, although some pedestrians did not notice the eHMI. In conclusion, there may be potential for supporting pedestrians in situations where they need support the most, namely critical encounters. Future research may consider coupling a directional eHMI to autonomous emergency steering.

history
  • 2022-07-11 first online, published, posted
publisher
4TU.ResearchData
format
.m, .csv, .xlsx, .m4v, .mp4, Unity files (various formats)
funding
  • This research is supported by grant 016.Vidi.178.047 (“How should automated vehicles communicate with other road users?”), financed by the Netherlands Organisation for Scientific Research (NWO).
organizations
Faculty of Mechanical Engineering, Delft University of Technology

Department of Industrial Design, Eindhoven University of Technology

DATA

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  • 1,598 bytesMD5:404696918652228032785404ac4b915c readme.txt
  • 54,871 bytesMD5:be2c390447c8f62e09e830ed033581df analysis.m
  • 229,544,572 bytesMD5:b35b9301b3bfc67ae676270fce1b9c4b data.zip
  • 5,648,861,695 bytesMD5:9543aea96364a830d923c638ce500b03 unity.zip
  • 84,475,906 bytesMD5:71b004119e4e5dad423d2186f6174846 videos.zip
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