Evidence map›Paper›PMID 42404855›Full record

ArticleInnovation in aging2026

Enhancing healthcare smartwatch adoption among older adults: perceptual affordance-based design recommendations for video demonstrations.

Hyo Jun Yang, Yu-Won Youn, Garyoung Kim, Ji-Hyun Lee

Abstract read
In one paragraph

Article in Innovation in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hyo Jun YangGraduate School of Culture Technology, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.ORCID https://orcid.org/0009-0004-0835-3932
Yu-Won YounGraduate School of Culture Technology, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.ORCID https://orcid.org/0009-0003-5890-5304
Garyoung KimGraduate School of Culture Technology, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.ORCID https://orcid.org/0009-0001-3542-8926
Ji-Hyun LeeGraduate School of Culture Technology, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.ORCID https://orcid.org/0000-0001-9560-4285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Visual demonstrations play an important role in supporting older adults' adoption of wearable healthcare technologies, but how they shape acceptance remains underexplored. This study aimed to identify the most suitable demonstration format for further investigation and, using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, examine how its features supported adoption. Research Design and Methods: Using an explanatory sequential mixed-methods design, Phase 1 involved a repeated-measures crossover survey ( Results: Phase 1 results showed that all enhanced demonstrations scored higher than the written baseline, with video achieving the highest descriptive means across UTAUT constructs. Phase 2 thematic analysis revealed three patterns: "Seeing Is Believing" described how clarity and visual verification fostered trust; "Finding Myself in the Demonstration" emphasized age-appropriate representation and contextual relevance; and "Perceived Family Approval in Technology Adoption" highlighted family validation and support as central to acceptance. Discussion and Implications: Contextual video segments were most effective for performance expectancy and social influence, whereas instructional close-ups often heightened perceived complexity, shaping effort expectancy and facilitating conditions. These findings informed 5 design recommendations: balance close-ups with contextual views, provide clear visual feedback, feature age-appropriate demonstrators, embed daily-life scenarios, and include family interactions to strengthen acceptance.

Indexed as

Perceptual affordancesTechnology acceptanceUTAUTWearable technology

Identifiers

PMID42404855
PMCPMC13329077

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.