Agata Rozga
Agata Rozga is a developmental psychologist at Georgia Tech whose research applies machine learning and sensing to health-related behavior, from autism in young children to cognitive decline in older adults. She earned a bachelor's degree at Berkeley in 2000 and a doctorate in developmental psychology at UCLA in 2007, then joined the Georgia Tech faculty in 2010. In 2012 she was director of the Child Study Lab and a co-investigator on an NSF Expeditions project that built wearable sensors for autism research, and in 2020 she coauthored a Nature Communications paper whose deep network detects eye contact as accurately as human experts. By February 2023 she was Director of Translational Research for AI-CARING, the NSF-funded institute for AI that supports aging in place, and her recent papers study conversational AI for older adults. She is a Principal Research Scientist in the School of Interactive Computing.
- Now at
- AI-CARING
- Links
- Website and Google Scholar
Timeline
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2000–2007
A UCLA developmental psychology doctorate
She earns a B.A. in psychology at the University of California, Berkeley, in 2000, then an M.S. in 2002 and a Ph.D. in 2007 in developmental psychology at the University of California, Los Angeles.
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2010
Joining Georgia Tech
After a two-year postdoctoral fellowship through the Center for Behavior Neuroscience at Georgia State University, she joins the faculty at Georgia Tech in 2010.
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2012
Wearable sensors for autism research
In 2012, as director of the Child Study Lab and a co-investigator on the five-year, $10 million Expeditions project that the National Science Foundation funded in fall 2010, she describes a wearable system of wrist and ankle accelerometers that detects problem behaviors with 95 percent accuracy in tests with Marcus Autism Center staff. Her stated goal is to gather data on a child's behavior beyond the clinic, in settings such as home or school.
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2020
Eye contact detection with deep networks
In 2020, she coauthors a Nature Communications paper with Eunji Chong, James Rehg and colleagues on detecting eye contact in egocentric video. A deep convolutional network trained on 4,339,879 annotated images of 103 subjects, 57 of them with autism spectrum disorder, reaches accuracy equivalent to that of human experts.
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2023
Translational research at AI-CARING
In February 2023, as Director of Translational Research for AI-CARING, she moderates the session "What can Artificial Intelligence Do for You" at the Cognitive Empowerment Program Research Symposium, a collaboration of Emory University's Brain Health Center and Georgia Tech. AI-CARING is an NSF-funded artificial intelligence institute focused on developing and evaluating AI technologies to support aging in place for older adults and their care networks.
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October 2025
A voice assistant in older adults' homes
In October 2025, she coauthors an arXiv paper with Niharika Mathur, Tamara Zubatiy and Elizabeth Mynatt on a 20-week in-home deployment of a voice-based AI system for medication management with 7 older adult participant dyads. The study analyzes 844 interactions to identify conversational breakdowns and the repair strategies older adults use.
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2026
Explanations in conversational AI
In 2026, she coauthors a paper for ACM CHI with Niharika Mathur, Tamara Zubatiy, Jodi Forlizzi and Elizabeth Mynatt on older adults' preferences for explanations in LLM-based conversational AI systems. The paper draws on an exploratory Speed Dating study with 23 older adults.
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As of October 2026
Principal research scientist at Georgia Tech
She is a Principal Research Scientist in Georgia Tech's School of Interactive Computing, working in computational behavioral science and on applications of machine learning to developmental health. She directs the Georgia Tech Child Study Lab and serves as Director of Translational Research for AI-CARING. Her current research includes AI-based systems that monitor cognitive and functional decline in everyday activities for people with mild cognitive impairment.
Career
- Since 2010Georgia Institute of TechnologyFaculty
- NowAI-CARINGDirector of Translational Research
- Until 2010Georgia State UniversityPostdoctoral researcher
Education
- 2007University of California, Los AngelesPh.D. in developmental psychology
- 2002University of California, Los AngelesM.S. in developmental psychology
- 2000University of California, BerkeleyB.A. in psychology
Sources and credits
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- Agata Rozga | Mercury
- Georgia Tech Creating High-Tech Tools to Study Autism | Mercury
- Detection of eye contact with deep neural networks is as accurate as human experts | Nature Communications
- Members of AI-CARING showcase their work at Charlie and Harriet Shaffer CEP Research Symposium | AI Caring
- Georgia Institute of Technology - Home
- "It feels like hard work trying to talk to it": Understanding Older Adults' Experiences of Encountering and Repairing Conversational Breakdowns with AI Systems
- Sometimes You Need Facts, and Sometimes a Hug: Understanding Older Adults' Preferences for Explanations in LLM-Based Conversational AI Systems
- Agata Rozga | School of Interactive Computing
- Our Team – Georgia Tech Child Study Lab

