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Record W7109961956 · doi:10.2196/83864

Feasibility and Acceptability of Collaborative Augmented Reality for Older Adults and Companions: Protocol for a Randomized Controlled Trial

2025· article· en· W7109961956 on OpenAlexvenueno aff

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialProtocol (science)Augmented realityResearch designRandomizationIntervention (counseling)

Abstract

fetched live from OpenAlex

BACKGROUND: Loneliness and social isolation are common among older adults and are associated with dire consequences. Studies using interactive communication technology (ICT) interventions with older adults have yielded mixed results. Advancements in collaborative head-mounted display augmented reality (HMD-AR) can provide older adults who are geographically distant from their families with a more diverse range of interactive activities, thus offering greater potential to enhance social connection. OBJECTIVE: We examined the feasibility and acceptability of cocreated collaborative HMD-AR activities and 2D ICT (eg, Zoom) activities among older adults and their family members and close friends. METHODS: In total, 8 pairs of older adults and their designated companion (family or friend) from the greater Nashville area were randomized to the HMD-AR or 2D ICT groups. Eligibility criteria for older adults included being 60 years or older, being able to tolerate HMD-AR, being cognitively and physically able to participate, and having a companion willing to participate. For long-term care settings, participants must have been a resident for at least 3 months. All participants lived within a 1-hour driving distance from the investigators' university. Each older adult-companion pair participated in eight 30-minute sessions over 4 weeks. Participants randomized to the HMD-AR group had photorealistic avatars created; they participated in collaborative activities (ie, fireplace decoration, checkers) that were cocreated in an earlier study. Those randomized to the 2D ICT group had the opportunity to play virtual checkers or house décor games. Engineers remained on-site for all participants to assist as needed. The primary outcome was the feasibility of the study processes (ie, recruitment, retention, and data collection) and the technology (ie, viability, usability, comfort, ease of use, and acceptability). The study used face-to-face questionnaires and observations to collect data. RESULTS: Funding was received from the National Institute on Aging in August 2022 and from the National Science Foundation in October 2022. This study was approved by the local institutional review board. Following the initial design and testing of the HMD-AR activities, recruitment and data collection for the feasibility and acceptability study began in April 2024 and were completed in May 2025. Of the 8 enrolled older-companion pairs, 8 (100%) completed all sessions. The final data acquisition has been completed, and data cleaning is currently ongoing. Results are intended to be published in 2026. CONCLUSIONS: To our knowledge, this study is the first collaborative augmented reality study using photorealistic avatars between older adults and their family members or friends. Our study will determine whether the use of HMD-AR is feasible, and the results of this pilot study will inform a full-scale randomized controlled trial evaluating the efficacy of the intervention to reduce loneliness among older adults. TRIAL REGISTRATION: ClinicalTrials.gov NCT06179225; https://clinicaltrials.gov/study/NCT06179225. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/83864.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.174
Threshold uncertainty score0.754

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.150
GPT teacher head0.555
Teacher spread0.405 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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