My research is in human-computer interaction, with a focus on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, and reality-based interaction. 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 effective human interaction with complex and autonomous systems and vehicles. My work has applications in areas such as education, transportation, medicine, creativity support, gaming, and complex decision making.
Professional Highlights & Honors
In their “Eye on Education” segment, WBZ-TV Boston featured research led by computer science assistant professor Erin Solovey, who, through a collaborative $1 million National Science Foundation (NSF) grant, will explore the use of sensors to measure brain activity during learning.
NSF360 (2:17 mark), the National Science Foundation’s online news channel featured work by Erin Solovey, assistant professor of computer science, on using non-invasive sensors to capture brain wave images to better understand how a person learns using on-line programs. Solovey’s research received $1 million in funding from the NSF.