Flow Experience in Various Fields

Cortical Spectral Dynamics in Flow and Frustration

This study examines spectral dynamics of brain activity during flow and frustration states using EEG, finding distinct patterns in power and coherence that correlate with task performance and subjective experience.

Joint Pupillometry and Heart Rate Monitoring Identify Zone-Like High Performance in Esports

The paper identifies a high-performance state in esports using pupil-heart synchrony, showing it correlates with objective performance despite lower subjective workload.

A Deep Dive into the Cognitive Soundscape of Flow: Finding Your Groove

This study examines how self-selected music and task difficulty affect physiological and neural responses during a simulated driving task, showing changes in heart rate and brainwave activity but not self-reported flow state.

Physiological detection of flow states across varied gameplay workloads

This study uses physiological data and machine learning to predict flow states during varied gameplay tasks, correlating with self-reported flow experiences.

The flow state is not accompanied by frontal-midline theta activity: An EEG investigation of more than 700 video gameplay sessions

This study investigates the relationship between flow state and frontal-midline theta activity using EEG during video gameplay, finding no correlation in most participants.

Team flow is a unique brain state associated with enhanced information integration and neural synchrony

The paper investigates the neural basis of team flow using EEG hyper-scanning and finds enhanced neural synchrony and integrated information in the left temporal cortex during team flow.