Evidence map›Paper›PMID 33457459›Full record

ArticleGerontology & geriatric medicine

A Question of Access: Exploring the Perceived Benefits and Barriers of Intelligent Voice Assistants for Improving Access to Consumer Health Resources Among Low-Income Older Adults.

Phani Nallam, Siddhant Bhandari, Jamie Sanders, Aqueasha Martin-Hammond

Abstract read
In one paragraph

Article in Gerontology & geriatric medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. "It's Kind of Like Code-Switching": Black Older Adults' Experiences with a Voice Assistant for Health Information Seeking.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2022
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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

4 authors.

Phani NallamIndiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Siddhant BhandariIndiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Jamie SandersIndiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Aqueasha Martin-HammondIndiana University-Purdue University Indianapolis, Indianapolis, IN, USA.ORCID https://orcid.org/0000-0002-5208-2402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intelligent voice assistants (IVAs) such as Amazon Echo and Google Home present a promising opportunity to improve access to consumer health information and resources for older adults. However, researchers know little about older adults' opinions of using IVAs for these potentially critical tasks, particularly those with already limited access. In this paper, we explore older adults' views about IVAs for consumer health and wellness information with the goal of better understanding what they envision as benefits and barriers of using such technology in the future. We shared an IVA prototype with ten older adults (60 years of age or older). We interviewed them about how a similar system might impact their access to consumer health information. Participants saw the potential for IVAs to improve their search experiences and support them with other health tasks. However, participants were also concerned about adopting an IVA for health due to access barriers, confidentiality risks, and concerns about receiving trusted information. Based on our findings, we discuss considerations for designing IVAs for underserved, older adult populations.

Indexed as

consumer healthconversational user interfacesintelligent voice assistantsolder adults

Identifiers

PMID33457459
PMCPMC7783870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.