Atypical Visual Display for Monitoring Multiple CCTV Feeds
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite advances in surveillance technologies, security and command and control (C2) centers still rely strongly on human operators to detect critical events. Human factors-such as cognitive workload and limited attentional capacity-have been shown to affect operators' ability to detect critical incidents. The current standard surveillance environment comprises a large screen layout that simultaneously displays multiple camera feeds. Although having access to all sources of information at once seems intuitively appealing, there is ample evidence to suggest that it can, in fact, lead to poor detection performance. We propose a design solution that is based on principles grounded in cognitive psychology and user experience design. One key objective is to test empirically whether an atypical design pattern that is consistent with serial cognitive processes induces better performance than the current standard surveillance environment. Three variations of the alternative display pattern will be tested by comparing their effects on detection performance within a surveillance microworld.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it