My research is in human-computer interaction. One focus of my research is 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 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, transportation, medicine, creativity support, gaming, and complex decision making.
The Worcester Business Journal reported on WPI and the University of Massachusetts Lowell partnering to award more than $111,000 in seed funding to six different teams, focusing on work ranging from human-robot collaboration to cancer detection and rehabilitation for stroke patients.
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.