Physiological computing education represents an emerging interdisciplinary field that explores the integration of biological signals and computing technologies in educational contexts. Work in the area typically builds on literature in the areas of embodied learning, physical computing, and affective computing.

Key Areas of Physiological Computing Education

• Evaluation of Learning Experiences: Utilizing physiological sensors (EEG, EDA) to measure engagement, emotional states, and cognitive processes during educational activities.
• Enhancement of Educational Experiences: Implementing physiological sensing to create novel and engaging learning environments.

Initial

Physiological Computing for All: Exploring Neural Interface Education

Physiological Computing for All: Exploring Neural Interface Education | Interactions

Using Physiological Sensing to Evaluate Educational Experiences. (Select Publications)

EngageMeter: A System for Implicit Audience Engagement Sensing Using Electroencephalography

EngageMeter | Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

On Using Physiological Sensors and AI to Monitor Emotions in a Bug-Hunting Game

On Using Physiological Sensors and AI to Monitor Emotions in a Bug-Hunting Game | Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1

Using Electrodermal Activity Measurements to Understand Student Emotions While Programming

Using Electrodermal Activity Measurements to Understand Student Emotions While Programming | Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1

FOCUS: enhancing children's engagement in reading by using contextual BCI training sessions

FOCUS | Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Using neurofeedback to teach self-regulation to children living in poverty

Using neurofeedback to teach self-regulation to children living in poverty | Proceedings of the 14th International Conference on Interaction Design and Children

Electrodermal Activity Wearables and Wearable Cameras as Unobtrusive Observation Devices in Makerspaces