Erin T. Solovey, Ph.D.

Dr. Solovey's main research area is human-computer interaction, specifically emerging interaction modes and techniques, such as brain-computer interfaces, physiological & wearable computing, affective computing and reality-based interaction. Her work uses machine learning approaches to build adaptive user interfaces that support the user’s changing cognitive state and context. Her work has applications in areas such as health, driving, aviation, privacy, STEM education, gaming, accessibility, complex decision making, as well as human interaction with autonomous systems and vehicles. Solovey is committed to improving STEM education and broadening participation in computing.

Dr. Solovey has received several awards including the NSF/CRA Computing Innovation Fellowship and three CHI Best Paper Award Honorable Mentions, and her work has been covered in MIT Technology Review, Slashdot, Engadget and others. She was a postdoctoral fellow in the Humans and Automation Lab (HAL) at MIT, working with Missy Cummings. She received her bachelor’s degree in computer science from Harvard University, and her M.S. and Ph.D. in computer science from Tufts University, working in the Human-Computer Interaction Research Group with Robert Jacob. She also has conducted research at MIT Lincoln Laboratory and in the Computational User Experiences group at Microsoft Research with Desney Tan and Dan Morris. Previously, she was a software engineer at Oracle, and also has experience at several startups.


July, 2019: Giving keynote talk at Neuroadaptive Technology Conference in Liverpool, England. Also presenting our work "Towards neuroadaptive technology using time warped distances for similarity exploration of brain data" with Jayesh Dubey, Mihin Sumaria, Erden Oktay, Yu Li, Ziheng Li and Rodica Neamtu
May, 2019: Invited talk at UMass Interdisciplinary Neuroscience Conference.
May, 2019: Excited to be awarded WPI-UML seed grant for a collaborative project "Towards Biometric Input for Multi-Agent Adaptive Human-Robot Collaboration" with Rodica Neamtu and Yanhua Li at WPI as well as Holly Yanco, Adam Norton, PeiChun Kao and Winnie Wu from UMass Lowell
May, 2019: CHI conference in Glasgow, Scotland.
April 10-13, 2019 Brain Initiative Investigators Meeting and NSF NCS PI meeting.
March, 2019 Speaking on a panel at Scientista Symposium in Boston.
March, 2019: Our paper "The Reality of Reality-Based Interaction: Understanding the Impact of a Framework as a Research Tool" with Audrey Girouard, Orit Shaer, Michael Poor and Rob Jacob has been accepted to the journal TOCHI.
March, 2019: Speaking about careers in academia at the 2019 Scientista Symposium in Boston
January 30, 2019: I'll be giving a talk at noon in FL Lower Perrault on Enhancing Human-Computer Interaction with Real-time Brain Input
January, 29 2019: Some WPI News: A New Kind of Thinking Cap: WPI Researchers Are Using Brain Imaging to Improve Personalized Learning Environments
January, 2019: Appointed Deputy Editor of the International Journal of Human-Computer Studies after serving for 5 years on the editorial board
January, 2019: Our paper "Evaluating Rule-based Programming and Reinforcement Learning for Personalising an Intelligent System" (with Ruixue Liu, Advait Sarkar, and Sebastian Tschiatschek) was accepted to the Explainable Smart Systems Workshop at IUI 2019.
January, 2019: WPI Spring term begins. Teaching CS 546 Human-Computer Interaction (grad course)