Design of intelligent emotion feedback to assist users regulate emotions: Framework and principles

Abstract

Positive environmental emotion feedback is important to influence the brain and behaviors. By measuring emotional signals and providing affective neurofeedback, people can be better aware of their emotional state in real time. However, such direct mapping does not necessarily motivate people's emotion regulation effort. We introduce two levels of emotion feedback: an augmentation level that indicates direct feedback mapping and an intervention level which means feedback output is dynamically adapted with the regulation process. For the purpose of emotion regulation, this research summarizes the framework of emotion feedback design by adding new components that involve feature wrapping, mapping to output representation and interactive interface representation. By this means, the concept of intelligent emotion feedback is illustrated that not only enhances emotion regulation motivation but also considers subject and trial variability based on individual calibration and learning. An affective Brain-computer Interface technique is used to design the prototype among alternatives. Experimental tests and model simulation are planned for further evaluation.