Frontier analysis — Executive Summary — Composition Science / Phase Report / Composition Science Phase 3 Evidence Review Attention Wayfinding

Knowledge boundary

• Source: content/projects/composition-science/phase-report/composition-science-phase-3-evidence-review-attention-wayfinding.md
• Status: active (inferred from publishable inventory)
• Discipline: Human Factors
• Confidence: stated in source; mixed
• Primary objective: This phase tested early hypotheses against findings from cognitive psychology, vision science, neuroscience, architecture, human-computer interaction, and wayfinding research. The evidence suggests that effective composition is not simply about attracting attention. Instead, it reduces the amount of cognition users must perform internally by externalizing structure into the environment. This shifts the project from searching for ideal proportions toward modeling the relationship between environ…
• Primary claims/evidence: This phase tested early hypotheses against findings from cognitive psychology, vision science, neuroscience, architecture, human-computer interaction, and wayfinding research. The evidence suggests that effective composition is not simply about attracting attention. Instead, it reduces the amount of cognition users must perform internally by externalizing structure into the environment. This shifts the project from searching for ideal proportions toward modeling the relationship between environ…
• Methodology: Attention is influenced by multiple interacting factors: - Physical salience - Task relevance - Learned expectations - Reward history - Selection history - Action opportunities
• Limitations/known uncertainties: Not explicitly labeled; the frontier records below treat missing replication, boundary, measurement, transfer, and benchmark evidence as unresolved.

Five highest-value opportunities

Challenge and confidence decay

The source was challenged for construct validity, independent replication, boundary conditions, transfer, and comparative baselines. Confidence should decay when the source lacks a dated replication, when its technology or target population changes, or when later artifacts report contradictory findings. Revalidation is recommended before treating context-bound recommendations as universal.