Evaluation of Ecological Interface Design for Nuclear Process Control: Situation Awareness Effects
Bibliographic record
Abstract
OBJECTIVE: We determine whether an ecological interface display for nuclear power plant operations supports improved situation awareness over traditional and user-centered displays in a realistic environment. BACKGROUND: Ecological interface design (EID) has not yet been fully evaluated with real operators facing realistic scenarios. METHOD: Ecological displays were evaluated alongside traditional and user-centered "advanced" displays in a full-scope nuclear power plant simulation. Licensed plant operators used the displays in realistic scenarios that either had procedural support or did not have procedural support. All three displays were evaluated for their ability to support operator situation awareness. RESULTS: A significant three-way interaction effect was observed on two independent measures of situation awareness. For both measures, ecological displays improved situation awareness in scenarios that did not have procedural support, primarily in the detection phases of those scenarios. No other pronounced effects appeared across both measures. CONCLUSIONS: The observed improvement was sufficiently large to suggest that EID could improve situation awareness in situations where procedures are unavailable. However, the EID displays did not lead to improved situation awareness in the other conditions of the evaluation, and participants using these displays occasionally underperformed on single measures of situation awareness. This suggests that the approach requires further development, particularly in integrating EID with procedural support. APPLICATION: This research has important findings for the ongoing development of the EID approach, the design of industrial operator displays, and design to support situation awareness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".