Feasibility and Acceptability of Collaborative Augmented Reality for Older Adults and Companions: Protocol for a Randomized Controlled Trial
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».