My research is in human-computer interaction and human-AI interaction. One focus of my research is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, textile sensing, radar sensing, and reality-based interaction. My students and I design, build and evaluate interactive computing systems that use machine learning approaches to adapt and support the user’s changing cognitive state and context. I also investigate novel paradigms for designing with accessibility in mind, particularly for the Deaf community. Much of my work also explores effective human interaction with complex and autonomous systems and vehicles. My work has applications in areas such as education, gaming, future of work, family life, transportation, and complex decision making.

Visit Digital WPI to view student projects and research advised by Professor Solovey.