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I am a PhD student in Computer Science and Engineering at the University of California, San Diego. I am affiliated with the Contextual Robotics Institute, and am advised by Dr. Laurel Riek in the Healthcare Robotics Lab. My research interests lie in the fields of HCI, HRI, and Human-Centered AI. The goal of my research is to define the needs for, and develop adaptive systems alongside the people who will be using them. The scope of my research pertains to individuals with cognitive impairments, notably people with mild cognitive impairment and dementia. I am grateful to be supported by the NSF GRFP. In spring 2024, I earned an MS in Computer Science from the University of California, San Diego. In 2021, I graduated with a B.S. in Cognitive Science spec. Machine Learning and Neural Computation, and a minor in Computer Science and Engineering from the University of California, San Diego. I earned an A.S. in Math and Sciences from MiraCosta College in 2019. Email / CV / Google Scholar / GitHub |
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Anya Bouzida*, Alyssa Kubota*, Dagoberto Cruz-Sandoval, Laurel D. Riek HRI, 2024 [Acceptance rate: 24%] (Best Paper Honorable Mention, Top 5% of Submissions) We created a social robot system, CARMEN, that delivers neurorehabilitation to people in their homes. |
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Connie Guan, Anya Bouzida, Ramzy Oncy-Avila, Sanika Moharana, Laurel D. Riek CHI, 2021 [Acceptance rate: 26.3%] video We used a design probe to engage stakeholders in the design of assistive technology to aid informal caregivers during mealtimes. |
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March 2021 - Current Mild Cognitive Impairment (MCI) is a prodromal stage between normal aging and dementia. An existing behavioral intervention exists that teaches cognitive skills to mitigate the affects of impairment on daily life and can prevent the onset of dementia. In this project, I am working collaboratively with people with MCI and clinicians to create an adaptive system that personalizes the intervention to the preferences of the person with MCI. The goal is to keep users engaged and motivated to interact and learn skills with the robot that can be translated to the real world. |
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January 2020 - June 2021 Dementia affects >50 million worldwide, causing progressive cognitive and physical disabilities. Its caregiving burden falls largely onto informal caregivers, who experience their own health problems, and face tremendous stress with little support–all exacerbated during COVID-19. In this project, we explored how health equity and community health can shape future technology design. This work resulted in a publication at CHI 2021 as can be seen below. |
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