Evidence map›Paper›PMID 40459023›Full record

ArticleJournal of applied gerontology : the official journal of the Southern Gerontological Society2026

Towards Real-World Dementia Care: Encouraging Activity Engagement Using an Intelligent Humanoid Robot.

Dongjun Wu, Lihui Pu, Rene Hexel, Jun Jo, Wendy Moyle

Abstract read
In one paragraph

Article in Journal of applied gerontology : the official journal of the Southern Gerontological Society, 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

5 authors.

Dongjun WuSchool of Nursing and Midwifery, Griffith University, Brisbane, QLD, Australia.ORCID 0000-0002-5628-4589
Lihui PuDepartment of Internal Medicine, Section of Nursing Science, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands.
Rene HexelSchool of Information and Communication Technology, Griffith University, Brisbane, QLD, Australia.
Jun JoSchool of Information and Communication Technology, Griffith University, Brisbane, QLD, Australia.
Wendy MoyleSchool of Nursing and Midwifery, Griffith University, Brisbane, QLD, Australia.ORCID 0000-0003-3004-9019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humanoid social assistive robotics (SARs) can promote activity engagement for older adults living with dementia. Few studies, however, evaluate the capacity of humanoid SARs to encourage activity engagement in long-term aged care facilities (LACFs). The complexity of the environment, robot design, and personal attributes underscore the challenge of humanoid SARs to encourage activity engagement in practice. This study employed a mixed-methods approach involving nine participants (aged ≥65 years) with mild to moderate cognitive impairment from one aged care facility and seven carers from four different Australian states. Through the triangulation of observational engagement data, participants' semi-structured interviews, and carers focus group discussion, six themes encompassing activity engagement were identified and are discussed for future application and evaluation of humanoid SARs in dementia care: (1) robot physical design, (2) interaction patterns, (3) activity guidelines, (4) intervention environment, (5) personal history, and (6) relationship establishment.

Indexed as

DementiaRoboticsAgedAged, 80 and overAustraliaCaregiversFemaleFocus GroupsHomes for the AgedHumansInterviews as TopicMaleQualitative Researchactivity engagementAlzheimer’s diseasemental healthrobot-led activitysocial interactionsocially assistive robotics

Identifiers

PMID40459023
PMCPMC12989034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.