But how to guarantee a specific unified emotional experience? To solve this problem, we establish a model between the features of the system and the user’s emotional experience. Take visual effects as an example, we associate different features with the image or picture. Features from the picture includes the frequency of color, the proportion of each RGB components, the symmetry exists in the picture, etc. According to the output of visualization, we could establish a feedback model with user’s feeling.

In sum, flow learning is an augmented approach that can be used to guarantee the unified emotional experience. The first part of it applies the flow theory to dynamically maintain the balance between challenge and ability in order to create an immersion experience. And then it establishes a feedback model between the features of the interactive system and user’s emotional feelings.

Flow learning can be widely used in the information world, not only applied in the field of interactive systems like video games and operating systems, but can also help improve the quality of education and marketing operation. The biggest challenge to apply this module is the selection of features of the media the user to interact with, which required the knowledge of an expert in the specific domain.