research-document RFR-2631C6BB
Create a shared benchmark and decision threshold: Visual Engineering UI Foundations
RFR-2631C6BB — Create a shared benchmark and decision threshold: Visual Engineering UI Foundations
Research opportunity
Create a shared benchmark and decision threshold for the claims or recommendations in “Visual Engineering UI Foundations.”
Background
The originating artifact is accepted by the repository publishing inventory with status “active (inferred from publishable inventory).” Its Core model section provides the immediate evidence boundary.
Evidence trace
- Origin document: agent-context/UI-FOUNDATIONS.md
- Section:
Core model - Specific assumption challenged: The source's treatment in “Core model” is sufficiently supported for its intended scope.
- Supporting evidence excerpt: “A successful interface makes the right information perceptually available at the right moment, establishes meaningful relationships, and supports both rapid orientation and deliberate verification. Visual quality is not decoration applied after structure. Architecture, content relationships, semantics, interaction, an…”
- Reason this opportunity exists: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.
Unknowns
- How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.
Dependencies
Suggested REP and methodology
- Suggested REP:
REP-VISUAL-ENGINEERING-UI-FOUNDATION-BENCHMARK - Methodology: Curate representative cases, blind ground truth where possible, define baselines and uncertainty-aware metrics, and run reproducible benchmark evaluations.
- Expected outputs: Versioned benchmark, baseline implementations, scoring harness, datasheet, and adoption decision rule.
- Success criteria: Independent teams can reproduce scores and the benchmark discriminates meaningful quality differences without rewarding proxy gaming.
- Recommended agent:
research-engineering-agent - Estimated effort: Medium
- Expected knowledge gained: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.
Evaluation
| Dimension | Score (1–5) |
|---|---|
| Knowledge gain | 4 |
| Potential impact | 4 |
| Cross-project reuse | 5 |
| Scientific importance | 5 |
| Dependency cost | 5 |
| Implementation difficulty | 3 |
| Frontier score | 392 |
Confidence in this opportunity: moderate. Status: Open.