Office
FL 232
Areas of Research

AI / Machine Learning / Data / Robotics / Cyber / Autonomy

Life Sciences & Biotechnology

Education
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 and human-AI interaction. One focus of my research is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, textile sensing, radar sensing, 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.

Education
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 and human-AI interaction. One focus of my research is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, textile sensing, radar sensing, 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.

Office
FL 232
Areas of Research

AI / Machine Learning / Data / Robotics / Cyber / Autonomy

Life Sciences & Biotechnology

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), 2019-2024
Associate Editor
ACM Transactions on Computer-Human Interaction (TOCHI) Journal, 2021-
Advisory Board
Microsoft Technical Leadership Advisory Board on Brain-Computer Interfaces, 2018-

News

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MIT Technology Review
Meet the early-adopter judges using AI

Judges are grappling with whether and when to use artificial intelligence. Erin Solovey, associate professor of computer science, studied how judges in the U.K. perceive the risks and benefits of using artificial intelligence in the courts. She conducts research on human-AI interaction and provided analysis for an MIT Technology Review article on new technology and the judicial system. 

The Times (London)
Robots won’t replace us, say judges

International media outlets reported on research conducted by a group of professors including Erin Solovey, an associate professor in the Department of Computer Science. Solovey and professors from Harvard-Radcliffe Institute and Maynooth University explored perceptions of artificial intelligence from 12 judges in the United Kingdom, including 5 members of the U.K. Supreme Court, through a focus group study. Their research paper, which outlines both opportunities for AI implementation in some judicial situations as well as concerns about over-reliance on the technology, won best paper award at last month’s Symposium on Human-Computer Interaction for Work (CHIWORK) in Amsterdam.

Podcast Episodes