Micro‑Granular Anticipatory Interface (M‑GAI)

Recent reports suggest that humans can detect objects buried in dry, fine granules (e.g., sand) before direct contact—a capability reminiscent of shorebirds probing beaches. We propose a rigorous, accessible research program to test and extend this phenomenon as a Micro‑Granular Anticipatory Interface (M‑GAI). The central claim is that fingertip motion through loose granules produces tiny shear‑fronts, force‑chain reconfigurations, and near‑field pore‑pressure transients that bias local resistance before contact—together forming a short‑range information halo. We define a single, plain‑language metric—the Anticipatory Information Index (AII)—that quantifies how predictive pre‑contact signals are of successful detection. We specify a crossover experiment with three skin‑conditions (native, SynCom‑enriched, transiently reduced) and three media (clean sand, sand + magnetized pollen, sand + talc control), coupled to open MRV (Monitoring‑Reporting‑Verification) data release. The framework yields actionable tests for haptics, assistive robotics, field archaeology, and hazard search, while remaining falsifiable and safe.

Anticipatory Information Index (AII): The fraction of the total decision‑relevant information that arrives before first physical contact with the target.