Adaptive Interventions with User-Defined Goals for Health Behavior Change

arXiv:2311.09483v2 Announce Type: replace
Abstract: Physical inactivity remains a major public health concern, having associations with adverse health outcomes such as cardiovascular disease and type-2 diabetes. Mobile health applications present a promising avenue for low-cost, scalable physical activity promotion, yet often suffer from small effect sizes and low adherence rates, particularly in comparison to human coaching. Goal-setting is a critical component of health coaching that has been underutilized in adaptive algorithms for mobile health interventions. This paper introduces a modification …

abstract applications arxiv behavior change cost cs.ai cs.lg diabetes disease health low major mobile promotion public public health scalable small type