Evidence map›Paper›PMID 42575723›Full record

ArticleNursing & health sciences2026

Exploring Emotional Attachment to Socially Assistive Robots: A Qualitative Study Among Older Adults.

Jixia Cao, Can Yang, Xingru Yang, Junjin An, Jinchang Yu, Jiahui Chen, Ying He

Abstract read
In one paragraph

Article in Nursing & health sciences, 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

7 authors.

Jixia CaoSchool of Nursing, Hunan Normal University, Changsha, Hunan, China.
Can YangSchool of Nursing, Hunan Normal University, Changsha, Hunan, China.
Xingru YangSchool of Nursing, Hunan Normal University, Changsha, Hunan, China.
Junjin AnSchool of Nursing, Hunan Normal University, Changsha, Hunan, China.
Jinchang YuSchool of Nursing, Hunan Normal University, Changsha, Hunan, China.
Jiahui ChenSchool of Nursing, Hunan Normal University, Changsha, Hunan, China.
Ying HeSchool of Nursing, Hunan Normal University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0003-4328-9708

Funding

Hunan Normal University Student Innovation and Entrepreneurship Training Program 2024266National Social Science Foundation of China 22BZX039
6 · The paper itself

Abstract

Socially assistive robots (SARs) show potential to alleviate loneliness among older adults but raise ethical risks regarding emotional attachment. While existing studies largely focus on normative frameworks, empirical insights into older adults' subjective experiences in specific cultural settings remain limited. Grounded in China's care realities, this qualitative study explored older adults' anticipated emotional attachment to SARs and the associated ethical concerns through semi-structured, scenario-based interviews. Data were analyzed using Braun and Clarke's six-phase thematic analysis. Three themes emerged: (1) anticipated and imagined emotional attachment to SARs; (2) perceived catalysts of anticipated emotional attachment, driven by loneliness, limited family support, and the projection of human-like qualities; and (3) anticipated consequences of emotional attachment, including expected emotional support alongside concerns about family ties and autonomy. Chinese older adults expressed ambivalent expectations regarding emotional attachment to SARs. Their accounts reflected unmet emotional and caregiving needs within family-based care norms while raising concerns about intergenerational relationships and autonomy. Future SAR implementation should ensure that robots complement rather than replace human care and preserve relational autonomy.

Indexed as

EmotionsObject AttachmentRoboticsAgedAged, 80 and overChinaFemaleHumansLonelinessMaleMiddle AgedQualitative Researchemotional attachmentethicsolder adultsqualitative researchsocially assistive robots

Identifiers

PMID42575723
PMCPMC13456949

What OpenQuestion holds

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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.