To design and evaluate a software framework that enables seamless, small-group social interaction by overcoming the network reliability challenges inherent in crowded indoor environments and preserving user privacy. Method: The framework leverages secure Ultra-Wideband (UWB; IEEE 802.15.4z) ranging via Apple’s Nearby Interaction, combined with Multipeer Connectivity (over local Bluetooth/Wi-Fi) for robust, offline-first data replication. A write-ahead log (WAL) ensures data durability. Formal policies for participant arrival, pausing, and re-entry are defined with hysteresis to prevent state oscillation.

Modern social technologies often paradoxically inhibit direct, meaningful human connection. We address this gap by proposing the Curated Interaction Model, a novel client-side framework designed to orchestrate engaging, face-to-face conversations among small groups of young adults (ages 21—29) in a controlled social setting. The model employs a lightweight, three-item psychometric classifier to assign participants to one of six empirically derived conversational profiles. Based on the specific compositional dynamics of a five- to six-person group, the frame-work’s orchestration algorithm selects and blends curated, versioned collections of discussion prompts ("decks").