The Development of the Awareness Attribution Scale ANONYMISED DATA
README
Awareness Attribution Studies (Studies 1, 2, and 3)
Institution: University of Sheffield
Overview
This archive contains fully anonymised datasets from three studies conducted for the development and validation of the Awareness Attribution Scale.
All personal and identifying data have been removed. The data is therefore fully anonymous and not subject to GDPR.
Contents
- S1 Ease of understanding ANONYMISED DATA
Data from Study 1, where participants rated the ease of understanding of three alternative items for each of 14 constructs. Values represent ease-of-understanding ratings (Likert scale 1=easiest to understand, 3=hardest to understand).
- S2 Reliability ANONYMISED DATA
Data from Study 2, where participants rated 42 items (3 per construct) to assess internal consistency and item reliability. Values represent awareness attribution ratings (Likert scale 1=least aware, 5=most aware).
- S3 Validation ANONYMISED DATA
Data from Study 3, where participants rated different entities (rock, robot, dog, human) using the final 14-item scale. Values represent awareness attribution ratings (Likert scale 1=least aware, 5=most aware).
Research supported by the European Union under the European Innovation Council (EIC) research and innovation program, Project CAVAA (project number 101071178) as well as Project “VaLue-aware AI (VALAWAI)” (project number 101070930); and by the Royal Society. Ethical approval was obtained by the School of Computer Science Ethics Committee at the University of Sheffield (Reference Number 064307).
History
Ethics
- The project has ethical approval and the number is included in the description field
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The uploaded data can be shared openly
Data description
- The file formats are open or commonly used
Methodology, headings and units
- Headings and units are explained in the files
Responsibility
- The depositor is responsible for the content and sharing of the attached files