Active Aging AI Community Care Ecosystem Design

Hsiao Ting Tseng; Hsieh Hong Huang; Chen Chiung Hsieh

doi:10.1007/978-3-030-50249-2_15

Active Aging AI Community Care Ecosystem Design

Hsiao Ting Tseng
, Hsieh Hong Huang
, Chen Chiung Hsieh

Department of Information Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Many countries are facing a severe population ageing problem. The aging environment of the population, the trend of declining birthrate, the decline of family care function and the sense of loneliness in elderlies are impacting the lives of the elderlies. Even though there are many long-term care services at the national level it has been in implementation, there are still many restrictions on the recipients receiving service. Many elderly people in the healthy life stage are not eligible for service. However, based on the concept of “prevention is better than cure”, these healthy elders needs to be cared for in order to prevent the heavy resources and manpower generated in the future stage of treatment. The demand for long-term care is not only to meet their physiological needs, but also for their psychological needs. Therefore, this study hopes to use the standardization and information privacy protection for the elderly to care for huge amounts of health care data, and apply machine learning and statistical techniques, and deep learning to find out the hidden information of the elderly care, to find key decision points, and to establish alert and notification mechanism. Through this process, this study hopes to not only care for the physical and mental health of the elderly, but also to take care of the hearts and minds of the elderly and relatives around the elderly, and to establish a blessed smart community care sharing model.

Original language	English
Title of host publication	Human Aspects of IT for the Aged Population. Healthy and Active Aging - 6th International Conference, ITAP 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
Editors	Qin Gao, Jia Zhou
Publisher	Springer
Pages	196-208
Number of pages	13
ISBN (Print)	9783030502485
DOIs	https://doi.org/10.1007/978-3-030-50249-2_15
State	Published - 2020
Event	6th International Conference on Human Aspects of IT for the Aged Population, ITAP 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark Duration: 19 Jul 2020 → 24 Jul 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12208 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Human Aspects of IT for the Aged Population, ITAP 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Country/Territory	Denmark
City	Copenhagen
Period	19/07/20 → 24/07/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Active aging
Artificial intelligence
Community care

Access to Document

10.1007/978-3-030-50249-2_15

Cite this

Tseng, H. T., Huang, H. H., & Hsieh, C. C. (2020). Active Aging AI Community Care Ecosystem Design. In Q. Gao, & J. Zhou (Eds.), Human Aspects of IT for the Aged Population. Healthy and Active Aging - 6th International Conference, ITAP 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings (pp. 196-208). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12208 LNCS). Springer. https://doi.org/10.1007/978-3-030-50249-2_15

Tseng, Hsiao Ting ; Huang, Hsieh Hong ; Hsieh, Chen Chiung. / Active Aging AI Community Care Ecosystem Design. Human Aspects of IT for the Aged Population. Healthy and Active Aging - 6th International Conference, ITAP 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. editor / Qin Gao ; Jia Zhou. Springer, 2020. pp. 196-208 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Active Aging AI Community Care Ecosystem Design",

abstract = "Many countries are facing a severe population ageing problem. The aging environment of the population, the trend of declining birthrate, the decline of family care function and the sense of loneliness in elderlies are impacting the lives of the elderlies. Even though there are many long-term care services at the national level it has been in implementation, there are still many restrictions on the recipients receiving service. Many elderly people in the healthy life stage are not eligible for service. However, based on the concept of “prevention is better than cure”, these healthy elders needs to be cared for in order to prevent the heavy resources and manpower generated in the future stage of treatment. The demand for long-term care is not only to meet their physiological needs, but also for their psychological needs. Therefore, this study hopes to use the standardization and information privacy protection for the elderly to care for huge amounts of health care data, and apply machine learning and statistical techniques, and deep learning to find out the hidden information of the elderly care, to find key decision points, and to establish alert and notification mechanism. Through this process, this study hopes to not only care for the physical and mental health of the elderly, but also to take care of the hearts and minds of the elderly and relatives around the elderly, and to establish a blessed smart community care sharing model.",

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Tseng, HT, Huang, HH & Hsieh, CC 2020, Active Aging AI Community Care Ecosystem Design. in Q Gao & J Zhou (eds), Human Aspects of IT for the Aged Population. Healthy and Active Aging - 6th International Conference, ITAP 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12208 LNCS, Springer, pp. 196-208, 6th International Conference on Human Aspects of IT for the Aged Population, ITAP 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, Copenhagen, Denmark, 19/07/20. https://doi.org/10.1007/978-3-030-50249-2_15

Active Aging AI Community Care Ecosystem Design. / Tseng, Hsiao Ting; Huang, Hsieh Hong; Hsieh, Chen Chiung.
Human Aspects of IT for the Aged Population. Healthy and Active Aging - 6th International Conference, ITAP 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. ed. / Qin Gao; Jia Zhou. Springer, 2020. p. 196-208 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12208 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Active Aging AI Community Care Ecosystem Design

AU - Tseng, Hsiao Ting

AU - Huang, Hsieh Hong

AU - Hsieh, Chen Chiung

PY - 2020

Y1 - 2020

N2 - Many countries are facing a severe population ageing problem. The aging environment of the population, the trend of declining birthrate, the decline of family care function and the sense of loneliness in elderlies are impacting the lives of the elderlies. Even though there are many long-term care services at the national level it has been in implementation, there are still many restrictions on the recipients receiving service. Many elderly people in the healthy life stage are not eligible for service. However, based on the concept of “prevention is better than cure”, these healthy elders needs to be cared for in order to prevent the heavy resources and manpower generated in the future stage of treatment. The demand for long-term care is not only to meet their physiological needs, but also for their psychological needs. Therefore, this study hopes to use the standardization and information privacy protection for the elderly to care for huge amounts of health care data, and apply machine learning and statistical techniques, and deep learning to find out the hidden information of the elderly care, to find key decision points, and to establish alert and notification mechanism. Through this process, this study hopes to not only care for the physical and mental health of the elderly, but also to take care of the hearts and minds of the elderly and relatives around the elderly, and to establish a blessed smart community care sharing model.

AB - Many countries are facing a severe population ageing problem. The aging environment of the population, the trend of declining birthrate, the decline of family care function and the sense of loneliness in elderlies are impacting the lives of the elderlies. Even though there are many long-term care services at the national level it has been in implementation, there are still many restrictions on the recipients receiving service. Many elderly people in the healthy life stage are not eligible for service. However, based on the concept of “prevention is better than cure”, these healthy elders needs to be cared for in order to prevent the heavy resources and manpower generated in the future stage of treatment. The demand for long-term care is not only to meet their physiological needs, but also for their psychological needs. Therefore, this study hopes to use the standardization and information privacy protection for the elderly to care for huge amounts of health care data, and apply machine learning and statistical techniques, and deep learning to find out the hidden information of the elderly care, to find key decision points, and to establish alert and notification mechanism. Through this process, this study hopes to not only care for the physical and mental health of the elderly, but also to take care of the hearts and minds of the elderly and relatives around the elderly, and to establish a blessed smart community care sharing model.

KW - Active aging

KW - Artificial intelligence

KW - Community care

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Tseng HT, Huang HH, Hsieh CC. Active Aging AI Community Care Ecosystem Design. In Gao Q, Zhou J, editors, Human Aspects of IT for the Aged Population. Healthy and Active Aging - 6th International Conference, ITAP 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Springer. 2020. p. 196-208. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-50249-2_15

Active Aging AI Community Care Ecosystem Design

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this