Understanding Barriers and Design Opportunities to Improve Healthcare
and QOL for Older Adults through Voice Assistants
- URL: http://arxiv.org/abs/2111.03756v1
- Date: Fri, 5 Nov 2021 23:22:05 GMT
- Title: Understanding Barriers and Design Opportunities to Improve Healthcare
and QOL for Older Adults through Voice Assistants
- Authors: Chen Chen, Janet G. Johnson, Kemeberly Charles, Alice Lee, Ella T.
Lifset, Michael Hogarth, Alison A. Moore, Emilia Farcas, Nadir Weibel
- Abstract summary: We consider the processes of care delivery and QOL enhancements for older adults as a collaborative task between patients and providers.
We identified 12 barriers that older adults might encounter during daily routine and while managing health.
Our work will benefit practitioners who study and attempt to create full fledged IVA powered smart devices to deliver better care and support an increased QOL for aging populations.
- Score: 14.851433929566237
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Voice based Intelligent Virtual Assistants (IVAs) promise to improve
healthcare management and Quality of Life (QOL) by introducing the paradigm of
hands free and eye free interactions. However, there has been little
understanding regarding the challenges for designing such systems for older
adults, especially when it comes to healthcare related tasks. To tackle this,
we consider the processes of care delivery and QOL enhancements for older
adults as a collaborative task between patients and providers. By interviewing
16 older adults living independently or semi independently and 5 providers, we
identified 12 barriers that older adults might encounter during daily routine
and while managing health. We ultimately highlighted key design challenges and
opportunities that might be introduced when integrating voice based IVAs into
the life of older adults. Our work will benefit practitioners who study and
attempt to create full fledged IVA powered smart devices to deliver better care
and support an increased QOL for aging populations.
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