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NASA NTRS · Poster
System-Wide Error Attribution in Multi-Vehicle Operations: Theoretical Explanation, Implications, and Applications
Attribution
This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Langley Research Center.
Abstract
Verbatim from NASA NTRS. Not paraphrased, not summarized.
In multi-vehicle aerial operation contexts, a single or several human operators (m) are responsible for managing multiple uncrewed vehicles (N). This is referred to as the m:N operational paradigm. When automation error occurs during m:N operations, especially if multiple vehicles exhibit automation error, a question is raised: What level of system globality will the error be attributed to? Globality refers to the levels within the conceptual hierarchy of a perceptual object. Significant costs could be incurred if the error is falsely attributed to a higher globality level than it should be (e.g., multiple groups of vehicles as opposed to a single vehicle), and those vehicles are subsequently subject to grounding and evaluation/maintenance. Likewise, it could be problematic if error is falsely attributed to a component (i.e., a lower globality level), resulting in ongoing, unsafe operation of vehicles that should be grounded or evaluated. Thus, to meet required safety standards and facilitate commercial viability, multi-vehicle operators must be capable of appropriately attributing the level of globality of automation error within the system they are responsible for.
Authors
- Elliot L Biltekoff Langley Research Center
- Eric T Chancey Langley Research Center
- Mike S Politowicz Langley Research Center
Keywords
- Error
- Automation
- AAM
- UAM
- Perception
- m:N
- Gestalt
- Expertise
Citation: Elliot L Biltekoff, Eric T Chancey, Mike S Politowicz (2024). System-Wide Error Attribution in Multi-Vehicle Operations: Theoretical Explanation, Implications, and Applications. Langley Research Center. NASA NTRS ID 20240010968. https://ntrs.nasa.gov/citations/20240010968 ↗