BBL Speaker Series: I to Support Everyday Life for People with Dementia
Abstract: We are seeing new AI systems for people with dementia, such as brain games which detect and diagnose cognitive impairment and smart-home systems to monitor the daily activities of people with dementia while caregivers are away. Although these are important areas of research, there are open opportunities to extend the use of AI to support individuals with dementia in a variety of different aspects of everyday life outside of diagnosis and monitoring. In this talk, Emma Dixon will briefly discuss her work in the area of AI for people experiencing age-related cognitive changes. The first study examines the technology accessibility needs of individuals with dementia, uncovering ways AI may be used to provide personalized solutions. The second study explores the ways tech-savvy people with dementia configure commercially available AI systems to support their everyday activities. Finally, the third study focuses on the design of future applications of AI to support the everyday life of people with dementia.
Bio: Dr. Emma Dixon is an Assistant Professor in Human-Computer Computing with a joint appointment in Industrial Engineering at Clemson University. Her research investigates technology use by neurodivergent individuals and people living with neurodegenerative conditions. In doing so, her research agenda is situated at the intersection of health information technology and cognitive accessibility research. Due to the complexity of this space, she takes a mixed methods approach, using qualitative methods to ground her work deeply in situated understanding of people’s experiences and quantitative methods to test the usability of emerging technologies. She earned her undergraduate degree in Industrial Engineering at Clemson University and her PhD in Information Studies at University of Maryland, College Park. Her research has received a Dean’s Award for Outstanding iSchool Doctoral Paper, as well as a Best Paper Nomination and Honorable Mention awards at ASSETS and CSCW conferences. She has published her work in CHI, CSCW, ASSETS, JMIR Mental Health, Applied Ergonomics, and TACCESS. Her dissertation work was supported by the NSF Graduate Research Fellowship.