TY - GEN
T1 - Investigating Contextual Notifications to Drive Self-Monitoring in mHealth Apps for Weight Maintenance
AU - Chen, Yu Peng
AU - Woodward, Julia
AU - Bista, Dinank
AU - Zhang, Xuanpu
AU - Singh, Ishvina
AU - Obajemu, Oluwatomisin
AU - Shankar, Meena N.
AU - Ross, Kathryn M.
AU - Ruiz, Jaime
AU - Anthony, Lisa
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s)
PY - 2024/5/11
Y1 - 2024/5/11
N2 - Mobile health applications for weight maintenance offer self-monitoring as a tool to empower users to achieve health goals (e.g., losing weight); yet maintaining consistent self-monitoring over time proves challenging for users. These apps use push notifications to help increase users' app engagement and reduce long-term attrition, but they are often ignored by users due to appearing at inopportune moments. Therefore, we analyzed whether delivering push notifications based on time alone or also considering user context (e.g., current activity) affected users' engagement in a weight maintenance app, in a 4-week in-the-wild study with 30 participants. We found no difference in participants' overall (across the day) self-monitoring frequency between the two conditions, but in the context-based condition, participants responded faster and more frequently to notifications, and logged their data more timely (as eating/exercising occurs). Our work informs the design of notifications in weight maintenance apps to improve their efficacy in promoting self-monitoring.
AB - Mobile health applications for weight maintenance offer self-monitoring as a tool to empower users to achieve health goals (e.g., losing weight); yet maintaining consistent self-monitoring over time proves challenging for users. These apps use push notifications to help increase users' app engagement and reduce long-term attrition, but they are often ignored by users due to appearing at inopportune moments. Therefore, we analyzed whether delivering push notifications based on time alone or also considering user context (e.g., current activity) affected users' engagement in a weight maintenance app, in a 4-week in-the-wild study with 30 participants. We found no difference in participants' overall (across the day) self-monitoring frequency between the two conditions, but in the context-based condition, participants responded faster and more frequently to notifications, and logged their data more timely (as eating/exercising occurs). Our work informs the design of notifications in weight maintenance apps to improve their efficacy in promoting self-monitoring.
KW - Health Behavior Change
KW - Mobile Health
KW - Notifications
UR - https://www.scopus.com/pages/publications/85194849458
UR - https://www.scopus.com/inward/citedby.url?scp=85194849458&partnerID=8YFLogxK
U2 - 10.1145/3613904.3641993
DO - 10.1145/3613904.3641993
M3 - Conference contribution
AN - SCOPUS:85194849458
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
PB - Association for Computing Machinery
T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
Y2 - 11 May 2024 through 16 May 2024
ER -