TY - GEN
T1 - Intergenerational sharing of health data among family members
AU - Binda, Jomara
AU - Cope, Natalie
AU - Park, Hyehyun
AU - Yuan, Chien Wen Tina
AU - Carroll, John M.
AU - Choe, Eun Kyoung
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017
Y1 - 2017
N2 - 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 health-related practices, and issues around health management as a means to facilitate intergenerational health collaboration.
AB - 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 health-related practices, and issues around health management as a means to facilitate intergenerational health collaboration.
UR - http://www.scopus.com/inward/record.url?scp=85116367765&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85116367765&partnerID=8YFLogxK
U2 - 10.1145/3154862.3154895
DO - 10.1145/3154862.3154895
M3 - Conference contribution
AN - SCOPUS:85041216321
SN - 9781450363631
T3 - PervasiveHealth: Pervasive Computing Technologies for Healthcare
SP - 468
EP - 471
BT - Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017
A2 - Oliver, Nuria
A2 - Czerwinski, Mary
PB - Association for Computing Machinery
T2 - 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017
Y2 - 23 May 2017 through 26 May 2017
ER -