Title:
AI-CARING How Use Inspired Research with Older Adults Informs the Future of AI

dc.contributor.author Mynatt, Elizabeth D.
dc.contributor.corporatename Georgia Institute of Technology. GVU Center en_US
dc.contributor.corporatename Georgia Institute of Technology. Institute for People and Technology en_US
dc.contributor.corporatename Georgia Institute of Technology. College of Computing en_US
dc.date.accessioned 2022-01-14T20:29:34Z
dc.date.available 2022-01-14T20:29:34Z
dc.date.issued 2021-10-14
dc.description Presented online via Bluejeans Events on October 14, 2021 at 12:30 p.m. en_US
dc.description Dr. Elizabeth Mynatt is Distinguished Professor in the College of Computing and the Executive Director of Georgia Tech’s Institute for People and Technology (IPaT). In her research, Mynatt directs the Everyday Computing Lab. There she investigates the design and evaluation of health information technologies including creating personalized mobile technology for supporting breast cancer patients during their cancer journey, evaluating mobile sensing and mHealth engagement for pediatric epilepsy patients and their caregivers, and investigating the positive and negative influence of social media on self-harm behaviors such as eating disorders. en_US
dc.description Runtime: 55:12 minutes en_US
dc.description.abstract We anticipate that AI will play a pivotal role in supporting the goals of older adults to “age in place” and sustain quality of life and independence. However, designing these technologies requires supporting the actions of older adults alongside their caregivers, spouses, adult children, and healthcare providers while being able to draw on a longitudinal understanding of routines, habits, norms, and values. In this talk, I draw from several projects to reflect on the challenges incumbent in designing for informal care networks. These challenges include establishing trust, respecting privacy, retaining autonomy, and combatting disparities. While these challenges are significant, the benefits of designing for care networks are substantial and this multi-stakeholder approach has the greatest potential for long-lasting care. This work now grounds the “use inspired” research for the new NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING). en_US
dc.format.extent 55:12 minutes
dc.identifier.uri http://hdl.handle.net/1853/66192
dc.language.iso en_US en_US
dc.relation.ispartofseries GVU Brown Bag
dc.subject Aging en_US
dc.subject Artificial intelligence (AI) en_US
dc.subject Healthcare en_US
dc.title AI-CARING How Use Inspired Research with Older Adults Informs the Future of AI en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.author Mynatt, Elizabeth D.
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Brown Bag Seminars
relation.isAuthorOfPublication 0cb257f1-a3f7-4ac4-9eac-423ff673ff08
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication 34739bfe-749f-4bc5-a716-21883cd1bbd0
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