AB Computer Science Harvard College 2001
MS Computer Science Tufts University 2007
PhD Computer Science Tufts University 2012
Postdoc Massachusetts Institute of Technology (MIT)


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. 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.

Sustainable Development Goals

SDG 3: Good Health & Well-Being

SDG 3: Good Health & Well-Being - Ensure healthy lives and promote well-being for all at all ages

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SDG 4: Quality Education

SDG 4: Quality Education - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

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SDG 5: Gender Equality

SDG 5: Gender Equality - Achieve gender equality and empower all women and girls

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SDG 8: Decent Work and Economic Growth

SDG 8: Decent Work and Economic Growth - Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

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SDG 11: Sustainable Cities and Communities

SDG 11: Sustainable Cities and Communities - Make cities and human settlements inclusive, safe, resilient and sustainable

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Scholarly Work

Prof. Solovey’s research is in human-computer interaction and human-AI interaction, with a focus on emerging interaction modalities.

Featured Works:

Solovey, E.T., Putze, F. (2021), Improving HCI with Brain Input: Review, Trends, and Outlook, Foundations and Trends in Human-Computer Interaction: Vol. 13: No. 4, pp 298-379. 

Putze, F., Putze, S., Sagehorn, M., Micek, C., Solovey, E.T. (2022) Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and Reuse. ACM Transactions on Computer-Human Interaction (TOCHI) 29, 4, Article 31 (March 2022), 43 pages.

Professional Highlights & Honors
Deputy Editor,
International Journal of Human-Computer Studies (IJHCS), 2019-
Associate Editor,
ACM Transactions on Computer-Human Interaction (TOCHI) Journal, 2021-
Advisory Board,
Microsoft Technical Leadership Advisory Board on Brain-Computer Interfaces, 2018-
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.