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The use of reinforcement learning (RL) to learn policies for just-in-time adaptive interventions (JITAIs) is of significant interest in many behavioral intervention domains including improving levels of physical activity. In a…

机器学习 · 计算机科学 2024-11-04 Karine Karine , Benjamin M. Marlin

There is a growing interest in leveraging the prevalence of mobile technology to improve health by delivering momentary, contextualized interventions to individuals' smartphones. A just-in-time adaptive intervention (JITAI) adjusts to an…

其他统计学 · 统计学 2018-12-31 Nicholas J. Seewald , Shawna N. Smith , Andy Jinseok Lee , Predrag Klasnja , Susan A. Murphy

We evaluated the viability of using Large Language Models (LLMs) to trigger and personalize content in Just-in-Time Adaptive Interventions (JITAIs) in digital health. As an interaction pattern representative of context-aware computing,…

Just-in-time adaptive interventions (JITAIs) are time-varying adaptive interventions that use frequent opportunities for the intervention to be adapted--weekly, daily, or even many times a day. The micro-randomized trial (MRT) has emerged…

There is a growing interest in using reinforcement learning (RL) to personalize sequences of treatments in digital health to support users in adopting healthier behaviors. Such sequential decision-making problems involve decisions about…

Regular physical activity is known to be beneficial to people suffering from diabetes type 2. Nevertheless, most such people are sedentary. Smartphones create new possibilities for helping people to adhere to their physical activity goals,…

计算机与社会 · 计算机科学 2018-05-16 Irit Hochberg , Guy Feraru , Mark Kozdoba , Shie Mannor , Moshe Tennenholtz , Elad Yom-Tov

Technological advancements in mobile devices have made it possible to deliver mobile health interventions to individuals. A novel intervention framework that emerges from such advancements is the just-in-time adaptive intervention (JITAI),…

统计方法学 · 统计学 2020-07-29 Jing Xu , Xiaoxi Yan , Caroline Figueroa , Joseph Jay Williams , Bibhas Chakraborty

Just-in-Time Adaptive Interventions (JITAIs) are a class of personalized health interventions developed within the behavioral science community. JITAIs aim to provide the right type and amount of support by iteratively selecting a sequence…

机器学习 · 计算机科学 2023-05-18 Karine Karine , Predrag Klasnja , Susan A. Murphy , Benjamin M. Marlin

Technological advancements have made it possible to deliver mobile health interventions to individuals. A novel framework that has emerged from such advancements is the just-in-time adaptive intervention (JITAI), which aims to suggest the…

统计方法学 · 统计学 2023-07-10 Jing Xu , Xiaoxi Yan , Caroline Figueroa , Joseph Jay Williams , Bibhas Chakraborty

Increasing technological sophistication and widespread use of smartphones and wearable devices provide opportunities for innovative and highly personalized health interventions. A Just-In-Time Adaptive Intervention (JITAI) uses real-time…

机器学习 · 统计学 2022-04-26 Huitian Lei , Yangyi Lu , Ambuj Tewari , Susan A. Murphy

Just-in-time adaptive interventions (JITAIs) are time-varying adaptive interventions that use frequent opportunities for the intervention to be adapted such as weekly, daily, or even many times a day. This high intensity of adaptation is…

Physical activity (PA) plays an important role in maintaining and improving health. Daily steps have been a key PA measure that is easily accessible with common wearable devices. However, methods are lacking to recommend a personalized…

应用统计 · 统计学 2026-05-20 Gefei Lin , Rui Miao , Jennifer Sacheck , Xiaoke Zhang

The goal of precision medicine is to provide individualized treatment at each stage of chronic diseases, a concept formalized by Dynamic Treatment Regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from…

统计方法学 · 统计学 2025-06-09 Sophia Yazzourh , Nicolas Savy , Philippe Saint-Pierre , Michael R. Kosorok

Mobile health aims to enhance health outcomes by delivering interventions to individuals as they go about their daily life. The involvement of care partners and social support networks often proves crucial in helping individuals managing…

机器学习 · 计算机科学 2024-08-13 Shuangning Li , Lluis Salvat Niell , Sung Won Choi , Inbal Nahum-Shani , Guy Shani , Susan Murphy

In recent years, reinforcement learning (RL) has acquired a prominent position in health-related sequential decision-making problems, gaining traction as a valuable tool for delivering adaptive interventions (AIs). However, in part due to a…

机器学习 · 统计学 2024-07-16 Nina Deliu , Joseph Jay Williams , Bibhas Chakraborty

The rise of mobile health (mHealth) technologies has enabled real-time monitoring and intervention for mental health conditions using passively sensed smartphone data. Building on these capabilities, Just-in-Time Adaptive Interventions…

人机交互 · 计算机科学 2025-08-06 Nilesh Kumar Sahu , Aditya Sneh , Snehil Gupta , Haroon R Lone

Despite a rich history of investigating smartphone overuse intervention techniques, AI-based just-in-time adaptive intervention (JITAI) methods for overuse reduction are lacking. We develop Time2Stop, an intelligent, adaptive, and…

Consistent physical inactivity poses a major global health challenge. Mobile health (mHealth) interventions, particularly Just-in-Time Adaptive Interventions (JITAIs), offer a promising avenue for scalable, personalized physical activity…

JITAI is an emerging technique with great potential to support health behavior by providing the right type and amount of support at the right time. A crucial aspect of JITAIs is properly timing the delivery of interventions, to ensure that…

人机交互 · 计算机科学 2021-05-04 Varun Mishra , Florian Künzler , Jan-Niklas Kramer , Elgar Fleisch , Tobias Kowatsch , David Kotz

Dental disease is one of the most common chronic diseases despite being largely preventable. However, professional advice on optimal oral hygiene practices is often forgotten or abandoned by patients. Therefore patients may benefit from…

人工智能 · 计算机科学 2022-09-15 Anna L. Trella , Kelly W. Zhang , Inbal Nahum-Shani , Vivek Shetty , Finale Doshi-Velez , Susan A. Murphy
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