Browse > Article
http://dx.doi.org/10.13106/kjfhc.2021.vol7.no5.1.

A study on improvement of elderly welfare service focusing on the user of AI and the IoT  

QUAN, Zhixuan (Dept. of alternative medicine, Kwangju women's university)
KANG, Minsoo (Dept. of Medical IT, Eulji University)
Publication Information
The Korean Journal of Food & Health Convergence / v.7, no.5, 2021 , pp. 1-7 More about this Journal
Abstract
The aging of the population has a fundamental impact on the national economy, including decline in productive population, atrophy of available funds, slowdown of technological innovation, slowdown of economic growth, and decrease in vitality of society as a whole. Increase of elderly population would lead to increase in elderly welfare consumers, which would also lead to increase the demand for elderly welfare services. However, due to the continuation of the low birth rate, there is a great shortage of human resources who can handle this. In such a situation, the main goal of the elderly welfare system in the future should aim to actively try to design effective policies, prepare systems, and implement services for the problems of the aged society, and to find ways to expand the finances, manpower, methods, and facilities necessary for the welfare of the elderly. Elderly welfare services in Korea have been changed and developed in accordance with socioeconomic changes such as industrialization and urbanization. This study examines the changes in elderly welfare services in Korea by the flow of times and presents a method which utilizes artificial intelligence and Internet of Things in services for the elderly welfare consumers to improve both quality and efficiency.
Keywords
Aging Society; Elderly Welfare Service; Artificial Intelligence; IoT;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Cha, S. S. (2020). Customers' intention to use Robot Serviced Restaurant in Korea: relationship of coolness and MCI f S. S. actors. International Journal of Contemporary Hospitality Management. 32(9), 1-15.   DOI
2 Cha, S. S. & Lee, S. H. (2021). The Effects of User Experience Factors on Satisfaction and Repurchase Intention at Online Food Market. Industrial Economics Research, 12(4), 7-13.
3 Hutton, D. M. (2011). The quest for artificial intelligence: A history of ideas and achievements. Kybernetes.
4 Jo, M. K. (2016). The History and Development Direction of the Korean Academy of Health and Welfare for Elderly. Journal of the Korean Academy of Health and Welfare for Elderly, 8(1), 3-13.
5 Kang, J., & Lee, S. (2019). Algorithm design to judge fake news based on Bigdata and artificial intelligence. International Journal of Internet, Broadcasting and Communication, 11(2), 50-58.   DOI
6 McCarthy, J. (2007). What is artificial intelligence?, retrieved 9 October, 2021, from http://wwwformal.stanford.edu/jmc/wha tisai/whatisai.html
7 Statistics Korea (2019). Future Population Special Estimation 2017-2067. retrieved 9 October, 2021, from http://www.kostat.go.kr
8 Kwak, M. K., Lee, J., & Cha, S. S. (2021). Senior Consumer Motivations and Perceived Value of Robot Service Restaurants in Korea. Sustainability, 13(5), 2755.   DOI
9 Mann. W.(ed.). Aging, Disability and Independence: Selected papers from the 4 International Conference on Aging, Disability and IndependenceI 2008), Amsterdam: IOS Press, 2008.
10 Moon, K. Y., (2018). The dead end of artificial intelligence, artificial empathy. Security News, 28 April, Seoul, Korea.
11 Russell, S., & Norvig, P. (2002). Artificial intelligence: a modern approach. Retrieved May 22, from https://storage.googleapis.com/pub-tools-public-publication-data/pdf/27702.pdf
12 Lee, S. S (2018). Artificial intelligence focuses on software, robots on hardware, What is 4th industrial revolution and artificial intelligence?. Siminsori News, 01 January, Gwangju, Korea
13 Kosir, S., & Soba, V. A. (2016). Theoretical and some practical perspectives on age diversity and comparative age management. International Journal of Innovation and Learning, 20(3), 309-327.   DOI