Human-engaged health care services recommendation for aging and long-term care

Liuqian Ni; Yuling Sun; Yanqin Yang; Liang He

doi:10.1109/CSCWD.2019.8791885

Human-engaged health care services recommendation for aging and long-term care

Liuqian Ni
, Yuling Sun
, Yanqin Yang
, Liang He

School of Computer Science and Technology

East China Normal University

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

8 Scopus citations

Abstract

How to provide long-term care for the elderly is one significant challenge for the current aging society. A multiform service platforms and a large number of non-professional caregivers might influence the accuracy and appropriateness of the care programs. In CSCW and related fields, the intelligent methods brought by the development of information technology and pervasive end equipment have attracted wide attention. However, most researches are conducted in a laboratory environment, which makes it difficult to meet the highly complex realities of the elderly. Based on a series of field studies, we have an in-depth understanding of practical effectiveness of directly using intelligence algorithms into the generating process of caring programs. We identify the existing challenges, and proposes a data-driven and human-engaged health care services recommendation algorithm for seniors. We implement our proposed algorithm in a prototype system, and conduct a primary study to validate the effectiveness of the framework.

Original language	English
Title of host publication	Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019
Editors	Weiming Shen, Hugo Paredes, Junzhou Luo, Jean-Paul Barthes
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	339-344
Number of pages	6
ISBN (Electronic)	9781728103501
DOIs	https://doi.org/10.1109/CSCWD.2019.8791885
State	Published - May 2019
Event	23rd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019 - Porto, Portugal Duration: 6 May 2019 → 8 May 2019

Publication series

Name	Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019

Conference

Conference	23rd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019
Country/Territory	Portugal
City	Porto
Period	6/05/19 → 8/05/19

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Elderly
Evaluation
ICT
Long-term care
Recommendation

Access to Document

10.1109/CSCWD.2019.8791885

Cite this

Ni, L., Sun, Y., Yang, Y., & He, L. (2019). Human-engaged health care services recommendation for aging and long-term care. In W. Shen, H. Paredes, J. Luo, & J.-P. Barthes (Eds.), Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019 (pp. 339-344). Article 8791885 (Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCWD.2019.8791885

Ni, Liuqian ; Sun, Yuling ; Yang, Yanqin et al. / Human-engaged health care services recommendation for aging and long-term care. Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019. editor / Weiming Shen ; Hugo Paredes ; Junzhou Luo ; Jean-Paul Barthes. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 339-344 (Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019).

@inproceedings{a5355a96f22a4a858a60e59843de65c1,

title = "Human-engaged health care services recommendation for aging and long-term care",

abstract = "How to provide long-term care for the elderly is one significant challenge for the current aging society. A multiform service platforms and a large number of non-professional caregivers might influence the accuracy and appropriateness of the care programs. In CSCW and related fields, the intelligent methods brought by the development of information technology and pervasive end equipment have attracted wide attention. However, most researches are conducted in a laboratory environment, which makes it difficult to meet the highly complex realities of the elderly. Based on a series of field studies, we have an in-depth understanding of practical effectiveness of directly using intelligence algorithms into the generating process of caring programs. We identify the existing challenges, and proposes a data-driven and human-engaged health care services recommendation algorithm for seniors. We implement our proposed algorithm in a prototype system, and conduct a primary study to validate the effectiveness of the framework.",

keywords = "Elderly, Evaluation, ICT, Long-term care, Recommendation",

author = "Liuqian Ni and Yuling Sun and Yanqin Yang and Liang He",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019 ; Conference date: 06-05-2019 Through 08-05-2019",

year = "2019",

month = may,

doi = "10.1109/CSCWD.2019.8791885",

language = "英语",

series = "Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "339--344",

editor = "Weiming Shen and Hugo Paredes and Junzhou Luo and Jean-Paul Barthes",

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}

Ni, L, Sun, Y, Yang, Y & He, L 2019, Human-engaged health care services recommendation for aging and long-term care. in W Shen, H Paredes, J Luo & J-P Barthes (eds), Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019., 8791885, Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019, Institute of Electrical and Electronics Engineers Inc., pp. 339-344, 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019, Porto, Portugal, 6/05/19. https://doi.org/10.1109/CSCWD.2019.8791885

Human-engaged health care services recommendation for aging and long-term care. / Ni, Liuqian; Sun, Yuling; Yang, Yanqin et al.
Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019. ed. / Weiming Shen; Hugo Paredes; Junzhou Luo; Jean-Paul Barthes. Institute of Electrical and Electronics Engineers Inc., 2019. p. 339-344 8791885 (Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019).

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

TY - GEN

T1 - Human-engaged health care services recommendation for aging and long-term care

AU - Ni, Liuqian

AU - Sun, Yuling

AU - Yang, Yanqin

AU - He, Liang

PY - 2019/5

Y1 - 2019/5

N2 - How to provide long-term care for the elderly is one significant challenge for the current aging society. A multiform service platforms and a large number of non-professional caregivers might influence the accuracy and appropriateness of the care programs. In CSCW and related fields, the intelligent methods brought by the development of information technology and pervasive end equipment have attracted wide attention. However, most researches are conducted in a laboratory environment, which makes it difficult to meet the highly complex realities of the elderly. Based on a series of field studies, we have an in-depth understanding of practical effectiveness of directly using intelligence algorithms into the generating process of caring programs. We identify the existing challenges, and proposes a data-driven and human-engaged health care services recommendation algorithm for seniors. We implement our proposed algorithm in a prototype system, and conduct a primary study to validate the effectiveness of the framework.

AB - How to provide long-term care for the elderly is one significant challenge for the current aging society. A multiform service platforms and a large number of non-professional caregivers might influence the accuracy and appropriateness of the care programs. In CSCW and related fields, the intelligent methods brought by the development of information technology and pervasive end equipment have attracted wide attention. However, most researches are conducted in a laboratory environment, which makes it difficult to meet the highly complex realities of the elderly. Based on a series of field studies, we have an in-depth understanding of practical effectiveness of directly using intelligence algorithms into the generating process of caring programs. We identify the existing challenges, and proposes a data-driven and human-engaged health care services recommendation algorithm for seniors. We implement our proposed algorithm in a prototype system, and conduct a primary study to validate the effectiveness of the framework.

KW - Elderly

KW - Evaluation

KW - ICT

KW - Long-term care

KW - Recommendation

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DO - 10.1109/CSCWD.2019.8791885

M3 - 会议稿件

AN - SCOPUS:85071425208

T3 - Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019

SP - 339

EP - 344

BT - Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019

A2 - Shen, Weiming

A2 - Paredes, Hugo

A2 - Luo, Junzhou

A2 - Barthes, Jean-Paul

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019

Y2 - 6 May 2019 through 8 May 2019

ER -

Ni L, Sun Y, Yang Y, He L. Human-engaged health care services recommendation for aging and long-term care. In Shen W, Paredes H, Luo J, Barthes JP, editors, Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 339-344. 8791885. (Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019). doi: 10.1109/CSCWD.2019.8791885

Human-engaged health care services recommendation for aging and long-term care

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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