research-document RFR-F9AD33CC
Map boundary conditions and failure regimes: Visual Engineering UI Anti-Patterns
RFR-F9AD33CC — Map boundary conditions and failure regimes: Visual Engineering UI Anti-Patterns
Research opportunity
Map boundary conditions and failure regimes 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: The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.
Unknowns
- The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.
Dependencies
Suggested REP and methodology
- Suggested REP:
REP-VISUAL-ENGINEERING-UI-ANTI-PATTE-BOUNDARY - Methodology: Use a factorial stress test across task, user, context, device, and consequence variables; model interactions rather than relying on aggregate means.
- Expected outputs: Boundary-condition matrix, failure taxonomy, interaction model, and revised scope statement.
- Success criteria: At least one credible failure regime is tested and the valid operating envelope is quantitatively described.
- Recommended agent:
experimentation-research-agent - Estimated effort: Medium
- Expected knowledge gained: The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.
Evaluation
| Dimension | Score (1–5) |
|---|---|
| Knowledge gain | 4 |
| Potential impact | 5 |
| Cross-project reuse | 5 |
| Scientific importance | 5 |
| Dependency cost | 5 |
| Implementation difficulty | 4 |
| Frontier score | 491 |
Confidence in this opportunity: moderate. Status: Open.