Evidence map›Paper›PMID 40842553›Full record

ArticleComputers in human behavior2025

What drives older adults' acceptance of virtual humans? A conjoint and latent class analysis on virtual exercise coach attributes for a community-based exercise program.

Michael Joseph S Dino, Kenneth W Dion, Peter M Abadir, Chakra Budhathoki, Chien-Ming Huang, William V Padula, Irvin Ong, Cheryl R Dennison Himmelfarb, Patricia M Davidson, Ladda Thiamwong

Abstract read
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In one paragraph

Article in Computers in human behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Michael Joseph S DinoSchool of Nursing, Johns Hopkins University, Baltimore, MD, 21205, USA.
Kenneth W DionSchool of Nursing, Johns Hopkins University, Baltimore, MD, 21205, USA.
Peter M AbadirSchool of Medicine, Johns Hopkins University, Baltimore, MD, 21205, USA.
Chakra BudhathokiSchool of Nursing, Johns Hopkins University, Baltimore, MD, 21205, USA.
Chien-Ming HuangDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
William V PadulaDepartment of Pharmaceutical and Health Economics, University of Southern California, Los Angeles, CA, 90089, USA.
Irvin OngSchool of Nursing, Johns Hopkins University, Baltimore, MD, 21205, USA.
Cheryl R Dennison HimmelfarbSchool of Nursing, Johns Hopkins University, Baltimore, MD, 21205, USA.
Patricia M DavidsonSchool of Nursing, Johns Hopkins University, Baltimore, MD, 21205, USA.
Ladda ThiamwongSigma Theta Tau International Honor Society in Nursing, Indianapolis, IN, 46202, USA.

Funding

Optimizing a technology-based body and mind intervention to prevent falls and reduce health disparities in low-income populations.R01MD018025 · NIMHD · UNIVERSITY OF CENTRAL FLORIDA · PI THIAMWONG, LADDA · 2022 to 2025
$3.0M
NIMHD NIH HHS R01 MD018025
6 · The paper itself

Abstract

As an example of health-enhancing physical activities (HEPA), structured physical exercise is valuable in promoting healthy lifestyles among community-dwelling older adults. Technology-driven virtual coaches have the potential to enhance and improve exercise programs, but the preferences of the aging population were not previously explored. This study examined and analyzed the attributes and levels related to the acceptance of virtual coaches among the aging cohort via experience-based conjoint and latent class analysis. Purposively selected respondents (

Indexed as

Conjoint analysisHuman-computer interactionLatent class analysisOlder adultsPhysical exerciseVirtual coaches

Identifiers

PMID40842553
PMCPMC12366743

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.