Evidence map›Paper›PMID 38525739›Full record

ArticleGeriatrics (Basel, Switzerland)2024

Reducing Loneliness and Improving Social Support among Older Adults through Different Modalities of Personal Voice Assistants.

Valerie K Jones, Changmin Yan, Marcia Y Shade, Julie Blaskewicz Boron, Zhengxu Yan, Hyeon Jung Heselton, Kate Johnson, Victoria Dube

Open access · goldAbstract read
In one paragraph

Article in Geriatrics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
46.1field-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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. 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

8 authors at 4 institutions in 1 country.

Valerie K JonesCollege of Journalism and Mass Communications, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0001-8429-5421
Changmin YanCollege of Journalism and Mass Communications, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0002-4365-4595
Marcia Y ShadeCollege of Nursing, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Julie Blaskewicz BoronDepartment of Gerontology, University of Nebraska-Omaha, Omaha, NE 68182, USA.ORCID 0000-0003-1121-8120
Zhengxu YanCollege of Computing, Data Science, and Society, University of California-Berkeley, Berkeley, CA 94720, USA.
Hyeon Jung HeseltonDepartment of Gerontology, University of Nebraska-Omaha, Omaha, NE 68182, USA.
Kate JohnsonCollege of Law, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
Victoria DubeDepartment of Gerontology, University of Nebraska-Omaha, Omaha, NE 68182, USA.
University of Nebraska at Omaha · USUniversity of Nebraska–Lincoln · USBerkeley College · USUniversity of Nebraska Medical Center · US

Funding

University of Nebraska System 21-1405-6001
6 · The paper itself

Abstract

This study examines the potential of AI-powered personal voice assistants (PVAs) in reducing loneliness and increasing social support among older adults. With the aging population rapidly expanding, innovative solutions are essential. Prior research has indicated the effectiveness of various interactive communication technologies (ICTs) in mitigating loneliness, but studies focusing on PVAs, particularly considering their modality (audio vs. video), are limited. This research aims to fill this gap by evaluating how voice assistants, in both audio and video formats, influence perceived loneliness and social support. This study examined the impact of voice assistant technology (VAT) interventions, both audio-based (A-VAT) and video-based (V-VAT), on perceived loneliness and social support among 34 older adults living alone. Over three months, participants engaged with Amazon Alexa™ PVA through daily routines for at least 30 min. Using a hybrid natural language processing framework, interactions were analyzed. The results showed reductions in loneliness (Z = -2.99,

Indexed as

conversational agentinteractive communication technologylonelinessmultimedia learning modalityolder adultssocial supportvoice assistant

Identifiers

PMID38525739
PMCPMC10961806
OpenAlexW4392036845

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.