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. 

Examining how humans develop trust towards embodied virtual agents

TechXplore featured research by Erin Solovey, associate professor computer science, and a team from Drexel University that investigated the impact and importance of trust in interactions between humans and Embodied virtual agents (EVAs). These graphically represented 3D virtual characters that display human-like behavior, could have valuable applications in a variety of settings including helping people practice their language skills or could serve as companions for the elderly and people with psychological or behavioral disorders.

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