Evidence map›Paper›PMID 42893253›Full record

ArticleClinical interventions in aging2026

Supporting Social Engagement in Long-Term Care Through Paired Socially Assistive Robot-Virtual Reality Activities for Older Adults with Cognitive Impairment and Apathy.

Miroslava Migovich, Ritam Ghosh, Nibraas Khan, Cathy A Maxwell, Paul A Newhouse, Douglas W Scharre, Alai Tan, Judith A Tate, Lorraine C Mion, Nilanjan Sarkar

Abstract read
In one paragraph

Article in Clinical interventions 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

10 authors.

Miroslava MigovichDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0002-4819-7901
Ritam GhoshDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Nibraas KhanDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Cathy A MaxwellCollege of Nursing, University of Utah, Salt Lake City, UT, USA.
Paul A NewhouseCenter for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Douglas W ScharreDepartment of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Alai TanCollege of Nursing, The Ohio State University, Columbus, OH, USA.
Judith A Tate *College of Nursing, The Ohio State University, Columbus, OH, USA.
Lorraine C Mion *College of Nursing, The Ohio State University, Columbus, OH, USA.
Nilanjan Sarkar *Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Impact of a Novel Socially Assistive Robotic Architecture on Engaging Older Adults with Mild Cognitive Impairment, Alzheimer's Disease, and Related Dementia in Long Term Care SettingsR01AG062685 · NIA · VANDERBILT UNIVERSITY · PI SARKAR, NILANJAN, TATE, JUDITH ANN · 2020 to 2024
$3.5M
NCATS NIH HHS UL1 TR000445NIA NIH HHS R01 AG062685
6 · The paper itself

Abstract

Introduction: Older adults living in long-term care settings, particularly those with cognitive impairment and apathy, frequently experience reduced social engagement. Socially assistive robots and virtual reality systems may help support engagement, but little is known about whether they can sustain engagement during real-world deployment while also facilitating interaction between older adults. This study examined whether socially structured socially assistive robot-virtual reality (SAR-VR) systems could sustain engagement and support human-human interaction during repeated use in long-term care settings. Methods: This analysis focused on the SAR-VR intervention arm of a larger eight-week study and included 60 older adults with cognitive impairment from 23 long-term care sites. Participants were exposed to two SAR-VR systems featuring different robot embodiments (dog-like and humanoid), roles, and activities. Across 756 repeated intervention sessions, engagement was observationally assessed using observed ratings of attention, activity attitude, robot attitude, and conversational targeting. Results: Sustained attention and activity attitudes remained consistently positive across both SAR-VR systems over repeated exposure. Peer-to-peer and research-staff directed speech occurred across both systems. While robot-directed speech was more common in the dog-like condition, partner-directed communication remained stable, indicating that increased human-robot interaction did not occur at the expense of human-human interaction. Baseline cognitive functioning was associated with attentional engagement but not with attitudinal evaluations. Baseline technology acceptance did not strongly predict post-interaction impressions. Participants who anthropomorphized the robots at baseline demonstrated more positive engagement during sessions. Discussion: These findings suggest that socially structured SAR-VR systems can sustain meaningful engagement while preserving peer interaction in naturalistic dementia care. The results also support the feasibility of designing SAR-VR activities around shared goals and coordinated actions to promote reciprocal human engagement, while recognizing that the study design does not allow definitive conclusions about clinical efficacy or the effects of specific robot features.

Indexed as

ApathyCognitive DysfunctionLong-Term CareRoboticsSocial InteractionVirtual RealityAgedAged, 80 and overFemaleHumansMaleapathycognitive impairmentcollaborative technologiesdyadic activitieshuman-centered designmultimodal intervention

Identifiers

PMID42893253
PMCPMC13676182

What OpenQuestion holds

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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.