Automated Author Profile

Cavalcante Siebert, Luciano

Current S-Index

8.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.7

Average Dataset Index per dataset

Total Datasets

5

Total datasets for this author

Average FAIR Score

73.1%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data for the study: "Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility" (Version: 1)

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.

Authors

  • Beckers, Niek ;
  • Cavalcante Siebert, Luciano ;
  • Bruijnes, Merijn ;
  • Jonker, C.M. (Catholijn) ;
  • Abbink, D.A. (David)
0 Citations0 Mentions73% FAIR1.6 Dataset Index
10.4121/16652056September 2021

Data for the study: "Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility" (Version: 1)

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.

Authors

  • Beckers, Niek ;
  • Cavalcante Siebert, Luciano ;
  • Bruijnes, Merijn ;
  • Jonker, C.M. (Catholijn) ;
  • Abbink, D.A. (David)
0 Citations0 Mentions73% FAIR1.6 Dataset Index
10.4121/16652056.v1September 2021

Axies: Identifying and Evaluating Context Specific Values - supplemental material (Version: 2)

Appendix, data and study protocols for the paper "Axies: Identifying and Evaluating Context Specific Values", published at AAMAS '21.

Authors

  • Liscio, Enrico ;
  • van der Meer, Michiel ;
  • Cavalcante Siebert, Luciano ;
  • Jonker, Catholijn M. ;
  • Mouter, Niek ;
  • Murukannaiah, Pradeep
1 Citation0 Mentions73% FAIR2.0 Dataset Index
10.4121/13705423July 2021

Axies: Identifying and Evaluating Context Specific Values - supplemental material (Version: 2)

Appendix, data and study protocols for the paper "Axies: Identifying and Evaluating Context Specific Values", published at AAMAS '21.

Authors

  • Liscio, Enrico ;
  • van der Meer, Michiel ;
  • Cavalcante Siebert, Luciano ;
  • Jonker, Catholijn M. ;
  • Mouter, Niek ;
  • Murukannaiah, Pradeep
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.4121/13705423.v2July 2021

Axies: Identifying and Evaluating Context Specific Values - supplemental material (Version: 1)

Appendix, data and study protocols for the paper "Axies: Identifying and Evaluating Context Specific Values", published at AAMAS '21.

Authors

  • Liscio, Enrico ;
  • van der Meer, Michiel ;
  • Cavalcante Siebert, Luciano ;
  • Jonker, Catholijn M. ;
  • Mouter, Niek ;
  • Murukannaiah, Pradeep
0 Citations0 Mentions73% FAIR1.6 Dataset Index
10.4121/13705423.v1February 2021