One of the most amazing and expected characteristics in modern systems is self-adaptation, the capability of monitoring, understanding, and responding to changes in a computational environment. A particular case of self-adaptation is affective-driven self-adaptation (closed-affective-loop), which uses the consciousness of user’s affects (emotions) and drives self-adaptation that responds to changes in those affects.
The computer’s ability to recognize human affective states (emotions), given physiological signals, and to change its behavior driven by those affective states in real-time is gaining in popularity with the aim of creating systems able to improve user’s experience. These emerging systems are named affective adaptive systems.
The goal of this project is inspire and support student creativity to create an affective adaptive environment of its own inspiration. We will provide the needed tools, software components, and expertise while students are encouraged to create an iterative environment that takes advantage of multimodal affective adaptation capabilities. Learning environments, health care systems, and video games are examples of systems that could take advantage of affective-driven self-adaptation features. Figure 1 shows the conceptual architecture of the envisioned system to be developed.