research-document RFR-979B813B

Map boundary conditions and failure regimes: Beautiful Digital Experiences Research Journal — Cycle 1

RFR-979B813B — Map boundary conditions and failure regimes: Beautiful Digital Experiences Research Journal — Cycle 1

Research opportunity

Map boundary conditions and failure regimes for the claims or recommendations in “Beautiful Digital Experiences Research Journal — Cycle 1.”

Background

The originating artifact is accepted by the repository publishing inventory with status “active.” Its Cycle frame section provides the immediate evidence boundary.

Evidence trace

  • Origin document: content/projects/beautiful-digital-experiences/research-journal/2026-07-26-beautiful-digital-experiences-cycle-1.md
  • Section: Cycle frame
  • Specific assumption challenged: The source's treatment in “Cycle frame” is sufficiently supported for its intended scope.
  • Supporting evidence excerpt: “- Cycle: 1 - Largest uncertainty: whether the project can define and measure aesthetic quality without collapsing it into liking, usability, fluency, or fashion. - Scope: operational definitions, construct boundaries, an initial scientific evidence pass, initialization of the 15 required hypotheses, and a falsificatio…”
  • 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-JR-BDE-001-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.