A Mirror-in-the-Sky Navigation Aid: Summary of Qualitative Feedback from Soldier and Civilian Users
Bibliographic record
Abstract
We tested the efficacy of a novel augmented reality navigation aid, called SkyMap, which presents survey navigation information in the sky, above the user. Soldier and civilian users completed a route following task using Mirror-in-the-Sky (a virtual reality prototype of the SkyMap concept), a north-up map, and a track-up map. In this paper, we analyzed and presented a summary of qualitative user feedback and compare feedback from soldier and civilian users. Specifically we used affinity diagrams to categorize verbal qualitative feedback, which led us to identify six themes: 1) an interest in MitS as an innovative navigation display, 2) challenges with identifying turns and orienting, 3) learning MitS over time, 4) the position of MitS in the field of view, 5) customizability and flexibility and 6) ) use in the context of a military operation. We discuss these themes and highlight areas for design improvements.
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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 | 0.000 |
| 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".