Evidence map›Paper›PMID 39653372›Full record

ArticleJMIR formative research2024

Testing 3 Modalities (Voice Assistant, Chatbot, and Mobile App) to Assist Older African American and Black Adults in Seeking Information on Alzheimer Disease and Related Dementias: Wizard of Oz Usability Study.

Cristina Bosco, Fereshtehossadat Shojaei, Alec Andrew Theisz, John Osorio Torres, Bianca Cureton, Anna K Himes, Nenette M Jessup, Priscilla A Barnes, Yvonne Lu, Hugh C Hendrie and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Cognitive Reablement Using Digital Voice Assistants for People Living With Dementia or Mild Cognitive Impairment: A Co-Design Study.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

12 authors.

Cristina BoscoLuddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.ORCID 0000-0002-1674-1861
Fereshtehossadat ShojaeiLuddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.ORCID 0009-0000-0935-2510
Alec Andrew TheiszLuddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.ORCID 0009-0006-6540-2010
John Osorio TorresLuddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.ORCID 0009-0003-6778-8453
Bianca CuretonSchool of Nursing, Indiana University, Indianapolis, IN, United States.ORCID 0009-0000-0858-0909
Anna K HimesSchool of Nursing, Indiana University, Indianapolis, IN, United States.ORCID 0009-0002-7768-1556
Nenette M JessupSchool of Nursing, Indiana University, Indianapolis, IN, United States.ORCID 0000-0001-6026-7899
Priscilla A BarnesSchool of Public Health, Indiana University, Bloomington, IN, United States.ORCID 0000-0002-4010-2672
Yvonne LuSchool of Nursing, Indiana University, Indianapolis, IN, United States.ORCID 0000-0002-1345-4541
Hugh C HendrieSchool of Medicine, Indiana University, Indianpolis, IN, United States.ORCID 0000-0002-7591-3176
Carl V HillAlzheimer's Association, Chicago, IL, United States.ORCID 0000-0002-7917-1341
Patrick C ShihLuddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States.ORCID 0000-0003-2460-0468

Funding

The Collaborative for Aging Research and Engagement (CARE)R24AG071471 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI BARNES, PRISCILLA ANNE, HILL, CARL V · 2021 to 2023
$3.0M
NIA NIH HHS R24 AG071471
6 · The paper itself

Abstract

backgroundOlder African American and Black adults are twice as likely to develop Alzheimer disease and related dementias (ADRD) and have the lowest level of ADRD health literacy compared to any other ethnic group in the United States. Low health literacy concerning ADRD negatively impacts African American and Black people in accessing adequate health care.

objectiveThis study explored how 3 technological modalities-voice assistants, chatbots, and mobile apps-can assist older African American and Black adults in accessing ADRD information to improve ADRD health literacy. By testing each modality independently, the focus could be kept on understanding the unique needs and challenges of this population concerning the use of each modality when accessing ADRD-related information.

methodsUsing the Wizard of Oz usability testing method, we assessed the 3 modalities with a sample of 15 older African American and Black adults aged >55 years. The 15 participants were asked to interact with the 3 modalities to search for information on local events happening in their geographical area and search for ADRD-related health information.

resultsOur findings revealed that, across the 3 modalities, the content should avoid convoluted and complex language and give the possibility to save, store, and share it to be fully accessible by this population. In addition, content should come from credible sources, including information tailored to the participants' cultural values, as it has to be culturally relevant for African American and Black communities. Finally, the interaction with the tool must be time efficient, and it should be adapted to the user's needs to foster a sense of control and representation.

conclusionsWe conclude that, when designing ADRD-related interventions for African American and Black older adults, it proves to be crucial to tailor the content provided by the technology to the community's values and construct an interaction with the technology that is built on African American and Black communities' needs and demands.

Indexed as

Alzheimer DiseaseBlack or African AmericanMobile ApplicationsAgedAged, 80 and overDementiaFemaleHealth LiteracyHumansInformation Seeking BehaviorMaleMiddle AgedUnited StatesagingAIAlzheimer diseaseAlzheimer disease and related dementiasartificial intelligencechatbotdementiadigital toolsgeriatrichealth literacymHealthmobile appolder African American and Black adultsvoice assistantWizard of Oz

Identifiers

PMID39653372
PMCPMC11667134

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.