Cognitive State-Aware Adaptive Learning Interface
RedBio is an interactive learning system that leverages biosignals such as EEG and heart rate to adapt learning experiences in real time.
Rather than treating learning as a static process, the project explores how physiological data can be used to dynamically adjust engagement, stress levels, and focus. The system aims to make learning more responsive to the learner’s condition, supporting sustained attention and more effective learning experiences.
- Learning systems do not account for the learner’s real-time mental or emotional state
- Learners struggle to maintain focus without understanding when and why their attention drops
- Stress and cognitive overload often go unnoticed, negatively affecting learning efficiency
- As a result, learning becomes inconsistent and difficult to sustain over time
- Integrate biosignal data (EEG, heart rate) to reflect the learner’s real-time state
- Provide immediate feedback to make changes in focus and stress visible
- Adapt learning interactions based on physiological responses to sustain engagement
- Enable learners to understand and regulate their own learning through a continuous feedback loop
- Real-time biosignal tracking with intuitive visualization of stress and focus
- Adaptive learning experience that responds to the learner’s physiological state
- Personalized feedback loop integrated into seamless UX/UI to support engagement
- Surveys
- Interviews
- Competitive Analysis
- Persona
- Journey map
- Interaction / UI decisions
- Designed a biosignal-driven learning system concept that connects physiological data with adaptive interaction design
- Demonstrated how real-time feedback can improve learner awareness, engagement, and regulation through prototyping and testing
- Learned how to translate complex biometric data into intuitive and meaningful user experiences
- Would further improve by validating the system with more users and refining the accuracy and responsiveness of feedback