Construction of a Digital Elderly Care Service System Based on Human-Computer Interaction from the Perspective of Smart Elderly Care.


Journal

Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357

Informations de publication

Date de publication:
2022
Historique:
received: 25 03 2022
revised: 20 04 2022
accepted: 03 05 2022
entrez: 31 5 2022
pubmed: 1 6 2022
medline: 3 6 2022
Statut: epublish

Résumé

Digital elderly care service is an innovative elderly care model, and its emergence has brought about a huge change in the field of elderly care services (ECSS). The current method is to make the elderly care service more precise and personalized, improve the ability and level, and improve the current ECSS. The defect is that the short of top-level design and overall planning is basically only in the state of trial operation. In order to solve these problems, this paper proposes to study how to intervene in social work in smart ECSS to enhance service capabilities and improve service quality on the original basis. Therefore, based on the use of human-computer interaction technology, this paper deepens the research on the current elderly care services. According to a survey of the elderly in a certain city, the digital elderly care system shows that 25.33% of the elderly prefer to use housekeeping services, and 63% of the elderly prefer healthcare services. The results show that the digital elderly care service system based on human-computer interaction technology is easier to be accepted by the elderly than the traditional elderly care service. The elderly care service system under human-computer interaction is more considerate than the traditional elderly care service system and can make the elderly's life more colorful.

Identifiants

pubmed: 35634039
doi: 10.1155/2022/1500339
pmc: PMC9142317
doi:

Types de publication

Journal Article Retracted Publication

Langues

eng

Sous-ensembles de citation

IM

Pagination

1500339

Commentaires et corrections

Type : RetractionIn

Informations de copyright

Copyright © 2022 Yifei Zhou.

Déclaration de conflit d'intérêts

The author declares that there are no conflicts of interest with any financial organizations regarding the material reported in this manuscript.

Références

Clin Ther. 2017 May;39(5):1054-1061
pubmed: 28433400
J Healthc Eng. 2021 Jan 21;2021:6693617
pubmed: 33542800
J Healthc Eng. 2021 Jun 19;2021:5060484
pubmed: 34249296

Auteurs

Yifei Zhou (Y)

School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430000, Hubei, China.

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Classifications MeSH