Research Assistant (Adaptive VR Museum AI experimentation and behavioral data collection/pilot validation)
Built and validated AI-driven adaptive content mechanisms by creating a modular Unity/C# experimentation platform and robust data pipelines for large-scale analysis. Implemented multi-signal behavioral tracking to collect user engagement signals and support measuring effects of content complexity adaptation. Performed pilot study analysis to establish a protocol for larger future validation. • Data collection pipeline design for user engagement and behavioral tracking signals • Experimentation framework development using Unity/C# for adaptive VR museum research • Pilot study execution (n=16) and impact estimation (2.2x session duration) • Preparing for subsequent larger validation study (n=60+) using collected datasets