Evidence map›Paper›PMID 35876765›Full record

ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2022

"It's Kind of Like Code-Switching": Black Older Adults' Experiences with a Voice Assistant for Health Information Seeking.

Christina N Harrington, Radhika Garg, Amanda Woodward, Dimitri Williams

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
48.7field-weighted citation impact, top 1% of its field
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

13 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. "I Don't Trust it, but I Use it": Navigating Trust, Privacy, and Identity in Disabled People's Use of Generative AI.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026
    Article
  3. Article
  4. Article
  5. "Proceedings of the ACM on human-computer interaction · 2025
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  9. HCI and Older Adults: The Critical Turn and What Comes Next.Foundations and trends in human computer interaction · 2025
    Article
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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 at 4 institutions in 1 country.

Christina N HarringtonCarnegie Mellon University, Pittsburgh, PA, USA.
Radhika GargSchool of Information Studies, Syracuse University, Syracuse, NY, USA.
Amanda WoodwardMichigan State University, East Lansing, MI, USA.
Dimitri WilliamsDePaul University, Chicago, IL, USA.
Carnegie Mellon University · USDePaul University · USMichigan State University · USSyracuse University · US

Funding

Michigan Center for Urban African American Aging Research - RESEARCH CORE (REC)P30AG015281 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETER A. LICHTENBERG, ROBERT Joseph TAYLOR · 1997 to 2026
$19.3M
NIA NIH HHS P30 AG015281
6 · The paper itself

Abstract

Black older adults from lower socioeconomic environments are often neglected in health technology interventions. Voice assistants have a potential to make healthcare more accessible to older adults, yet, little is known about their experiences with this type of health information seeking, especially Black older adults. Through a three-phase exploratory study, we explored health information seeking with 30 Black older adults in lower-income environments to understand how they ask health-related questions, and their perceptions of the Google Home being used for that purpose. Through our analysis, we identified the health information needs and common search topics, and discussed the communication breakdowns and types of repair performed. We contribute an understanding of cultural code-switching that has to be done by these older adults when interacting with voice assistants, and the importance of such phenomenon when designing for historically excluded groups.

Indexed as

code-switchingcultural relevancehealth information seekingidentityolder adultsracespeech recognitionvoice assistants

Identifiers

PMID35876765
PMCPMC9307214
OpenAlexW4225163270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.