Expert Bio

Much of Professor Solovey's work explores effective human interaction with complex and autonomous systems and vehicles. One focus of research is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, and reality-based interaction. She designs, builds and evaluates interactive computing systems that use machine learning approaches to adapt and support the user’s changing cognitive state and context. She also investigates novel paradigms for designing with accessibility in mind, particularly for the Deaf community.

AI Business
AI Helps Neuroscientists Understand Depression Better

“Much of the work on AI right now is actually inspired by brain research and how brains work,” computer science professor Erin Solovey provided insight for this article in AI Business on how artificial intelligence is being used in neuroscience and its potential future applications. 

Telegram.com
WPI Researcher Gets $1M Grant to Develop Technology for Deaf Users

Erin Solovey, assistant professor of computer science, was featured in a Telegram & Gazette article. Solovey received a $1 million National Science Foundation (NSF) grant that could lead to significant breakthroughs in technology platforms for the ASL-signing Deaf Community.

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