Improving Human-Computer Interaction with Real-time Brain Signals

This interdisciplinary project is at the intersection of human-computer interaction, artificial intelligence, and neuroscience, leveraging recent advancements in brain-computer interfaces to understand and adapt to a person’s changing cognitive state in real-world contexts.

I am looking for motivated students to work on research with brain sensing systems and brain-computer interfaces, applying them to interactive educational systems, collaboration support tools, healthcare, and beyond. Depending on your background and interests, the work may involve programming (Java, Python, Unity, R, JavaScript, HTML, CSS) to enhance the visualization and analysis tools. It may also involve conducting literature reviews, user interface design, and coordinating experiments with human subjects to advance human-computer interaction research. In addition, the project may focus on signal processing, noise reduction, and machine learning classification techniques for brain data and/or preparation and documentation of brain and contextual data to contribute datasets for open science.

Research partners will gain an understanding of interdisciplinary human-computer interaction research methods, experience developing robust software following best practices, exposure to machine learning methods and training in experimental design and analysis, as well as awareness of the human perspectives at the intersection of artificial intelligence and human-computer interaction and how that relates to the future of learning and work.