@inproceedings{8bbcb8712ab84f9797dc087add400c8b,
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{\textquoteright} understanding of one another{\textquoteright}s health and well-being, their current health-related 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}",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 ; Conference date: 23-05-2017 Through 26-05-2017",
year = "2017",
doi = "10.1145/3154862.3154895",
language = "English",
isbn = "9781450363631",
series = "PervasiveHealth: Pervasive Computing Technologies for Healthcare",
publisher = "Association for Computing Machinery",
pages = "468--471",
editor = "Nuria Oliver and Mary Czerwinski",
booktitle = "Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017",
}