Intergenerational sharing of health data among family members

Jomara Binda; Natalie Cope; Hyehyun Park; Chien Wen Tina Yuan; John M. Carroll; Eun Kyoung Choe

doi:10.1145/3154862.3154895

Intergenerational sharing of health data among family members

Jomara Binda
, Natalie Cope
, Hyehyun Park
, Chien Wen Tina Yuan
, John M. Carroll
, Eun Kyoung Choe

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

7 Citations (Scopus)

Abstract

An explosion of affordable commercial wearable sensing devices and mobile health applications has opened up new possibilities to practice self-Tracking and enjoy its benefits. However, elders often do not engage with health tracking technologies because they do not see much benefits. Leveraging the inherent reciprocal relationship among family members is one potential approach to promote the practice of health tracking. In this paper, we aim to understand and support intergenerational sharing of health data as a collective and collaborative family project of mutual support. Based on interviews and scenario-based focus group discussions, we report on family members' understanding of one another's health and well-being, their current healthrelated practices, and issues around health management as a means to facilitate intergenerational health collaboration.

Original language	English
Title of host publication	Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017
Publisher	Association for Computing Machinery
Pages	468-471
Number of pages	4
ISBN (Electronic)	9781450363631
DOIs	https://doi.org/10.1145/3154862.3154895
Publication status	Published - 2017 May 23
Externally published	Yes
Event	11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 - Barcelona, Spain Duration: 2017 May 23 → 2017 May 26

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017
Country/Territory	Spain
City	Barcelona
Period	2017/05/23 → 2017/05/26

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Collaboration
Data sharing.
Family
Health
Intergenerational
Self-Tracking

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3154862.3154895

Cite this

Binda, J., Cope, N., Park, H., Yuan, C. W. T., Carroll, J. M., & Choe, E. K. (2017). Intergenerational sharing of health data among family members. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 (pp. 468-471). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3154862.3154895

Intergenerational sharing of health data among family members. / Binda, Jomara; Cope, Natalie; Park, Hyehyun et al.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017. Association for Computing Machinery, 2017. p. 468-471 (ACM International Conference Proceeding Series).

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

Binda, J, Cope, N, Park, H, Yuan, CWT, Carroll, JM & Choe, EK 2017, Intergenerational sharing of health data among family members. in Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 468-471, 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017, Barcelona, Spain, 2017/05/23. https://doi.org/10.1145/3154862.3154895

Binda J, Cope N, Park H, Yuan CWT, Carroll JM, Choe EK. Intergenerational sharing of health data among family members. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017. Association for Computing Machinery. 2017. p. 468-471. (ACM International Conference Proceeding Series). doi: 10.1145/3154862.3154895

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title = "Intergenerational sharing of health data among family members",

abstract = "An explosion of affordable commercial wearable sensing devices and mobile health applications has opened up new possibilities to practice self-Tracking and enjoy its benefits. However, elders often do not engage with health tracking technologies because they do not see much benefits. Leveraging the inherent reciprocal relationship among family members is one potential approach to promote the practice of health tracking. In this paper, we aim to understand and support intergenerational sharing of health data as a collective and collaborative family project of mutual support. Based on interviews and scenario-based focus group discussions, we report on family members' understanding of one another's health and well-being, their current healthrelated practices, and issues around health management as a means to facilitate intergenerational health collaboration.",

keywords = "Collaboration, Data sharing., Family, Health, Intergenerational, Self-Tracking",

author = "Jomara Binda and Natalie Cope and Hyehyun Park and Yuan, \{Chien Wen Tina\} and Carroll, \{John M.\} and Choe, \{Eun Kyoung\}",

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AU - Cope, Natalie

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KW - Collaboration

KW - Data sharing.

KW - Family

KW - Health

KW - Intergenerational

KW - Self-Tracking

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ER -

Intergenerational sharing of health data among family members

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this