Studying Complex Human-System Behaviour: Human-in-the-loop Simulation Requirements
Bibliographic record
Abstract
The Defence Science and Technology Organisation (DSTO) is required to provide advice to customers for the procurement of future military systems using the high fidelity human-in-the-loop simulation (HILS) facility housed in the Air Operations Simulation Centre (AOSC). A program of research is under way that compares two work analysis techniques (traditional task analysis and Cognitive Work Analysis) on the basis of whether the human-system performance measures that they suggest are sensitive to system modifications and so may be used for system evaluation. In this paper we show that representing aircrew's tactical environment as a series of concentric “rings” resulted in the development of HILS requirements that let us evaluate the measures derived from both work analysis approaches. Using the rings to frame the experiment and develop simulation requirements was beneficial for several reasons including participant involvement, validity of the system and operator behaviour observed, and completeness of the study.
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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 | 0.002 | 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 | 0.001 | 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".