Human perceptions of social robot deception behaviors: an exploratory analysis
This study provides some of the first evidence for how people perceive and evaluate the deceptiveness of robot deception behavior types. This study found that people people distinguish among the three types of deception behaviors and see them as differently deceptive and approve of them differently. They also see at least the hidden state deception as stemming more from the designers than the robot itself.
Authors
- Andres Rosero (ORCID: https://orcid.org/0000-0002-6057-6939)
- Elizabeth Phillips (ORCID: https://orcid.org/0000-0001-9511-3275)
- Bertram F. Malle (ORCID: https://orcid.org/0000-0003-0845-9601)
- Elizabeth Dula
- Harris Kelly
Institutions
- George Mason University (US)
- Institut des Sciences Cognitives (FR)
- University of Virginia (US)
Publication Details
- Journal
- Frontiers in Robotics and AI
- Published
- 2024-09-05
- DOI
- https://doi.org/10.3389/frobt.2024.1409712
- Citations
- 7
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 3.68