Type

Master Thesis Business Information Systems

Status

in process

Tutor

• M.Sc. Cosima von Uechtritz

Abstract

This thesis investigates the automatic detection of flow states in gaming using machine learning techniques. Building upon existing research that links physiological signals, such as heart rate and heart rate variability, to the experience of flow, a classifier is developed and trained on a publicly available flow dataset. The trained model is then evaluated in a laboratory study, in which participants are measured repeatedly across several gaming sessions and receive feedback on their flow states during play. The study aims to advance understanding of flow in gaming and to explore the potential impact and benefits of flow feedback for players.