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 proceedingConference contribution

4 Scopus citations

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 languageEnglish (US)
Title of host publicationProceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017
EditorsNuria Oliver, Mary Czerwinski
PublisherAssociation for Computing Machinery
Pages468-471
Number of pages4
ISBN (Electronic)9781450363631
ISBN (Print)9781450363631
DOIs
StatePublished - May 23 2017
Externally publishedYes
Event11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 - Barcelona, Spain
Duration: May 23 2017May 26 2017

Publication series

NamePervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (Print)2153-1633

Conference

Conference11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017
Country/TerritorySpain
CityBarcelona
Period5/23/175/26/17

Bibliographical note

Publisher Copyright:
© 2017 Association for Computing Machinery.

Keywords

  • Collaboration
  • Data sharing
  • Family
  • Health
  • Intergenerational
  • Self-tracking

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