research-document RFR-1FDD258C
Create a shared benchmark and decision threshold: Visual Engineering UI Anti-Patterns
RFR-1FDD258C — Create a shared benchmark and decision threshold: Visual Engineering UI Anti-Patterns
Research opportunity
Create a shared benchmark and decision threshold for the claims or recommendations in “Visual Engineering UI Anti-Patterns.”
Background
The originating artifact is accepted by the repository publishing inventory with status “active (inferred from publishable inventory).” Its Visual Engineering UI Anti-Patterns section provides the immediate evidence boundary.
Evidence trace
- Origin document: agent-context/UI-ANTI-PATTERNS.md
- Section:
Visual Engineering UI Anti-Patterns - Specific assumption challenged: The source's treatment in “Visual Engineering UI Anti-Patterns” is sufficiently supported for its intended scope.
- Supporting evidence excerpt: “- Generic containers used in place of a meaningful information model - Equal emphasis across competing elements - Color as the only state or urgency signal - Low-contrast text used to manufacture hierarchy - CSS visual reordering that conflicts with source, reading, or focus order - Responsive layouts that merely shri…”
- 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-ANTI-PATTE-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.