Trustworthy UAV Relationships: Applying the Schema Action World Taxonomy to UAVs and UAV Swarm Operations

Parnell, Katie J.; Fischer, Joel E.; Clark, Jediah R.; Bodenmann, Adrian; Galvez Trigo, Maria Jose; Brito, Mario P.; Divband Soorati, Mohammad; Plant, Katherine L.; Ramchurn, Sarvapali D.

Abstract

Human Factors play a significant role in the development and integration of avionic systems to ensure that they are trusted and can be used effectively. As Unoccupied Aerial Vehicle (UAV) technology becomes increasingly important to the aviation domain this holds true. This study aims to gain an understanding of UAV operators’ trust requirements when piloting UAVs by utilising a popular aviation interview methodology (Schema World Action Research Method), in combination with key questions on trust identified from the literature. Interviews were conducted with six UAV operators, with a range of experience. This identified the importance of past experience to trust and the expectations that operators hold. Recommendations are made that target training to inform experience, in addition to the equipment, procedures and organisational standards that can aid in developing trustworthy systems. The methodology that was developed shows promise for capturing trust within human-automation interactions.

Citation

Parnell, K. J., Fischer, J. E., Clark, J. R., Bodenmann, A., Galvez Trigo, M. J., Brito, M. P., …Ramchurn, S. D. (2022). Trustworthy UAV Relationships: Applying the Schema Action World Taxonomy to UAVs and UAV Swarm Operations. International Journal of Human-Computer Interaction, https://doi.org/10.1080/10447318.2022.2108961

• Journal Article Type: Article
• Acceptance Date: Jul 29, 2022
• Online Publication Date: Aug 24, 2022
• Publication Date: Aug 24, 2022
• Deposit Date: Nov 28, 2022
• Publicly Available Date: Nov 29, 2022
• Journal: International Journal of Human–Computer Interaction
• Print ISSN: 1044-7318
• Electronic ISSN: 1532-7590
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1080/10447318.2022.2108961
• Keywords: Computer Science Applications; Human-Computer Interaction; Human Factors and Ergonomics
• Public URL: https://nottingham-repository.worktribe.com/output/10907178
• Publisher URL: https://www.tandfonline.com/doi/full/10.1080/10447318.2022.2108961