A dialogue-based approach to the design of user interfaces for supervisory control systems
Bibliographic record
Abstract
Supervisory control systems (SCS), such as those used in process control, are notable for very large information spaces, highly concurrent activity and time-critical operator and system response. The arduous task of monitoring and controlling the physical process is exacerbated by the cognitive burden of comprehending and manipulating the interface itself. Problems arise because the task of managing the interface impedes the task the interface is supposed to serve: managing the control system and physical process. The interface is both the place and the means of human-computer communication: an appropriate model of this communication is central to the design of effective SCS-user interfaces. This paper presents an approach to specifying the role of the human-computer interface as facilitator and mediator of multiple concurrent dialogues. In addition, an information taxonomy based on the operator's task of monitoring and controlling an SCS is defined. The model's relevance to the design of intelligent user interfaces is noted.
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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".