Comprehensive Evaluation of Explanation Types in a Spaceflight-Relevant Human–Autonomy Teaming Task
3.80T1 sourceHuman Factors (SAGE / HFES)
Source record
Published by Human Factors (SAGE / HFES) (T1 source). The original is at https://journals.sagepub.com/doi/abs/10.1177/00187208261457703?af=R.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPeer-reviewed study evaluating how different types of AI explanations affect performance, workload, trust, situation awareness, and user preference in a human-autonomy teaming task within a spaceflight-relevant simulator.
Why it mattersEmpirical comparison of XAI explanation styles in a high-stakes teaming context; useful evidence for anyone designing explanations that operators must act on quickly.
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