Evidence map›Paper›PMID 39022668›Full record

ArticleASSETS. Annual ACM Conference on Assistive Technologies2021

Understanding Barriers and Design Opportunities to Improve Healthcare and QOL for Older Adults through Voice Assistants.

Chen Chen, Janet G Johnson, Kemeberly Charles, Alice Lee, Ella T Lifset, Michael Hogarth, Alison A Moore, Emilia Farcas, Nadir Weibel

Abstract read
In one paragraph

Article in ASSETS. Annual ACM Conference on Assistive Technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  5. Article
  6. Article
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  8. Article
  9. Voice-Enabled Response Analysis Agent (VERAA): Leveraging Large Language Models to Map Voice Responses in SDoH Survey.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  10. Frontiers in dementia · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Toward a Unified Metadata Schema for Ecological Momentary Assessment with Voice-First Virtual Assistants.Proceedings of the 3rd Conference on Conversational User Interfaces (CUI 2021) : 27-29th July 2021, virtual event. Conference on Conversational User Interfaces (3rd : 2021 : Online) · 2021
    Article
  16. Public opinion on types of voice systems for older adults.Journal of rehabilitation and assistive technologies engineering
    Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chen ChenUniversity of California San Diego, La Jolla, CA, United States.
Janet G JohnsonUniversity of California San Diego, La Jolla, CA, United States.
Kemeberly CharlesUniversity of California San Diego, La Jolla, CA, United States.
Alice LeeUniversity of California San Diego, La Jolla, CA, United States.
Ella T LifsetUniversity of California San Diego, La Jolla, CA, United States.
Michael HogarthUniversity of California San Diego, La Jolla, CA, United States.
Alison A MooreUniversity of California San Diego, La Jolla, CA, United States.
Emilia FarcasUniversity of California San Diego, La Jolla, CA, United States.
Nadir WeibelUniversity of California San Diego, La Jolla, CA, United States.

Funding

SCH: INT: VOLI: Voice Assistant for Quality of Life and Healthcare Improvement in Aging Populations R56AG067393 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FARCAS, EMILIA · 2019 to 2020
$599k
NIA NIH HHS R56 AG067393
6 · The paper itself

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.

Indexed as

AccessibilityGerontechnologyHealth – Well-beingOlder AdultsSemi-Structured InterviewUser Experience Design

Identifiers

PMID39022668
PMCPMC11254122

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.