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