A Study on Psychological Flow Measure by Human-Machine Interaction Modeling

With human-machine interaction continuously developing, the consideration of human experience in the design of a machine becomes increasingly relevant. An experience measure that rates how well a work or interaction state is perceived by a user is psychological flow. In this paper we introduce a novel approach to assess flow in human-machine interaction by game-theoretically modeling the interaction. To validate our approach, we perform a user study with 30 participant with a study design that allows for the manipulation of the user’s experience through three experience modes. The results both validate our study design and provide indications that our approach to assess flow is promising to be developed further.