Survey of Operators’ Information Requirements on Individually Operated Unmanned Aircraft Systems
Bibliographic record
Abstract
Integrating unmanned aircraft systems (UAS) into controlled airspace will depend on identifying what information surveillance systems need to detect and display about the UAS to air traffic controllers and pilots. Pilots and controllers have been surveyed regarding their perceptions of their information requirements about UAS and the availability of that information in current operations. It was found that the most commonly identified information requirement for both pilots and controllers was the altitude of a UAS followed by the planned maneuvers of the UAS. For controllers, having previous UAS experience was most associated with an increased requirement for information on a UAS model/type and ground speed, as well as the weight and mission of the UAS. For pilots experience with UAS increased the most the requirement for knowledge of the operator of a UAS. Interestingly, for pilots, the requirement for every other information element stayed constant, or decreased when comparing perceptions of those with and without experience.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".