Automated Author ProfileCavalcante Siebert, Luciano
Cavalcante Siebert, Luciano
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 8.6 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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)
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)
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
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
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