Data for the study: "Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility"
DOI:10.4121/16652056.v1
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DOI: 10.4121/16652056
DOI: 10.4121/16652056
Datacite citation style
Beckers, Niek; Cavalcante Siebert, Luciano; Bruijnes, Merijn; C.M. (Catholijn) Jonker; Abbink, D.A. (David) (2021): Data for the study: "Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16652056.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset contains the data and analysis scripts (R) for the study "Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility"The research objective was to gauge the general public's perception on the extent of responsibility for a human driver, an automated vehicle, and the vehicle's manufacturer in case the vehicle crashes. We measured the perceived responsibility to each of the three actors (human, vehicle, manufacturer), the perceived ability of the human driver to intervene and avoid the accident, and the situational awareness of the driver. The data were gathered through an online questionnaire; participants were recruited through an online crowd-sourcing platform Prolific. Each participant was assigned to one of the five experiment conditions. All data are quantitative data, with the responses on a 0-100 point scale for responsibility, ability, and awareness.
The analysis scripts execute the statistical analysis (moderated mediation) through a bootstrap confidence interval analysis.
The analysis scripts execute the statistical analysis (moderated mediation) through a bootstrap confidence interval analysis.
History
- 2021-09-22 first online, published, posted
Publisher
4TU.ResearchDataFormat
.Rmd .Rda .csv .md .ipynbOrganizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Human-Robot Interaction.TU Delft, Faculty of Electrical Engineering, Mathematics & Computer Science, Department of Interactive Intelligence.
DATA
Files (5)
- 654 bytesMD5:
3a6a91d193c28e5deee3d97c6f294733readme.md - 15,081 bytesMD5:
23cf10fb39a430cc8530f52620d73885analysis_final.Rmd - 40,464 bytesMD5:
743c49819c264903ff3130978b7ab5d8data.csv - 2,863 bytesMD5:
34b5548568c3cd98a77a916b914010c0data_responsibility.Rda - 221,047 bytesMD5:
cd4442108091434fb3e1b33b21c002e7make_figures.ipynb -
download all files (zip)
280,109 bytes unzipped





