Tracking dynamic flow: Decoding flow fluctuations through performance in a fine motor control task
arXiv Preprint Archive October 18, 2023 Bohao Tian, Shijun Zhang, Sirui Chen et al.
A fingertip force control task that adjusts challenge to match personal skill can induce flow and track its rapid fluctuations. Eight performance metrics extracted from force sequences differed significantly across flow states. A learning-based decoder predicted continuous flow intensity from these metrics, correlating with self-reported flow at r=0.81. Decoded results revealed rapid oscillations in flow between sparse self-report probes, demonstrating high-temporal-resolution tracking of flow dynamics.