Utilizing Smart Televisions as Assistive Technology to Enhance Communication and Social Lives of Older Adults: Systematic Review
Notice bibliographique
Résumé
BACKGROUND: Over the past decade, the proportion of the world's population aged ≥65 years has grown exponentially, presenting significant challenges, such as social isolation and loneliness among this population. Assistive technologies have shown potential in enhancing the quality of life for older adults by improving their physical, cognitive, and communication abilities. Research has shown that smart televisions are user-friendly and commonly used among older adults. However, smart televisions have been underutilized as assistive technologies. OBJECTIVE: This study aimed to explore the state of the art in using smart televisions as assistive technologies to enhance communication and social interactions among older adults. METHODS: The search was conducted following the guidelines for performing a systematic literature review, which included 6 databases, that are, the IEEE, ACM, Google Scholar, ScienceDirect, Engineering Village, and Springer. A range of keywords were used in different combinations, including "smart TV," "older adults," "elderly," "communication," "messaging," "video call," and "application." A set of inclusion and exclusion criteria was defined before the search, and the screening was performed by 3 researchers. We analyzed the selected articles in accordance with the review's aim and the established inclusion and exclusion criteria. None of the articles were subjected to quantitative synthesis because of the significant variations in the data measured. RESULTS: After screening 2671 records from the abstract level to full text, 30 articles were identified as relevant studies, demonstrating both direct and indirect impacts on the social lives of older adults through the use of smart televisions as assistive technology. Some articles were part of the same or larger studies, which makes the number of actual projects even smaller. This indicates that smart televisions have been underutilized as assistive technologies for enhancing older adults' communication and social lives. More than half of the articles proposed their own prototype, and these prototypes were primarily targeted for use at home, while some were targeted for use at geriatric care units or nursing homes. User involvement among older adults was high among the included articles, and some also included other users, such as health care personnel, administrative staff, and engineers. The included studies were mostly from Europe. CONCLUSIONS: This review highlights the potential of smart televisions as assistive technologies to enhance social connectivity among older adults, and identifies several research gaps. Most studies focus on short-term usability and are geographically limited to Europe. Future research should include longitudinal studies, explore diverse cultural attitudes, and focus on adaptive solutions for various health conditions. We hope this review will inspire research on smart televisions as assistive technologies, enhancing social interactions and quality of life for older adults.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,005 |
| Bibliométrie | 0,010 | 0,011 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».