Sarda-Gou, M. orcid.org/0000-0002-1538-3345, Ciupinska, K. orcid.org/0000-0002-9909-4400, Wykowska, A. orcid.org/0000-0003-3323-7357 et al. (1 more author) (2025) The awareness attribution scale: development, validation, and short-form reduction. In: Jiménez Rodríguez, A., Mestre, R., Chen, C., Mura, A., Barker, E., Verschure, P. and Prescott, T., (eds.) Biomimetic and Biohybrid Systems. 14th International Conference, Living Machines 2025, 15-18 Jul 2025, Sheffield, United Kingdom. Lecture Notes in Computer Science, 15582. Springer Nature Switzerland, pp. 347-352. ISBN: 9783032074478. ISSN: 0302-9743. EISSN: 1611-3349.
Abstract
This research introduces the Awareness Attribution Scale (AAS), a tool for measuring how humans attribute awareness to a variety of entities, including artificial agents. Grounded in philosophical theories of consciousness, the scale is designed to assess 14 core constructs of awareness, each represented by a single item. Study 1 identified the most comprehensible item for each construct. Study 2 confirmed the internal consistency of the resulting 14-item scale in a context where participants imagined an interaction with a humanoid robot. Study 3 validated the scale across four distinct entities (rock, robot, dog, and human), demonstrating its ability to discriminate between levels of perceived awareness. Finally, Study 4 used Exploratory Factor Analysis (EFA) to create a reliable 5-item short form, offering a more efficient version for time-constrained settings. The AAS provides a validated, theoretically grounded, and accessible tool for empirical research on awareness attribution.
Metadata
| Item Type: | Proceedings Paper |
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| Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a proceedings paper published in Biomimetic and Biohybrid Systems is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Human-Robot Interaction; Awareness Attribution; Social Robots |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
| Date Deposited: | 22 Jan 2026 08:59 |
| Last Modified: | 23 Jan 2026 10:01 |
| Status: | Published |
| Publisher: | Springer Nature Switzerland |
| Series Name: | Lecture Notes in Computer Science |
| Refereed: | Yes |
| Identification Number: | 10.1007/978-3-032-07448-5_29 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:236827 |
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