research-document RFR-86C7841C

Create a shared benchmark and decision threshold: Beautiful Digital Experiences Research Journal — Cycle 1

RFR-86C7841C — Create a shared benchmark and decision threshold: Beautiful Digital Experiences Research Journal — Cycle 1

Research opportunity

Create a shared benchmark and decision threshold 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: 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-JR-BDE-001-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.