A framework for neurophysiological experiments on flow states.

Abstract in brief

• The article discusses how the concept of flow — a state of deep engagement — was originally observed in experts doing rewarding activities, but recent studies measure flow in unfamiliar activities, raising challenges for research.
• It proposes an "activity-autonomy framework" with testable hypotheses to better induce flow, extending beyond the traditional challenge-skill balance model, and emphasizes the importance of considering individual skills and motivation.
• The authors offer a 24-item methodological checklist to improve neurophysiological flow studies by standardizing reporting, personalizing approaches, and carefully analyzing self-report data to develop a cohesive understanding of flow states.]