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Increasing evidence has shown that theory-based health behavior change interventions are more effective than non-theory-based ones. However, only a few segments of relevant studies were theory-based, especially the studies conducted by…

人机交互 · 计算机科学 2017-12-08 Yunlong Wang , Ahmed Fadhil , Jan-Philipp Lange , Harald Reiterer

Mobile health (mHealth) technologies empower patients to adopt/maintain healthy behaviors in their daily lives, by providing interventions (e.g. push notifications) tailored to the user's needs. In these settings, without intervention,…

机器学习 · 计算机科学 2022-12-05 Eura Shin , Siddharth Swaroop , Weiwei Pan , Susan Murphy , Finale Doshi-Velez

Mobile applications, mobile apps for short, have proven their usefulness in enhancing service provisioning across a multitude of domains that range from smart healthcare, to mobile commerce, and areas of context sensitive computing. In…

计算机与社会 · 计算机科学 2022-11-15 Bakheet Aljedaani , Aakash Ahmad , Mansooreh Zahedi , M. Ali Babar

Due to the recent advancements in wearables and sensing technology, health scientists are increasingly developing mobile health (mHealth) interventions. In mHealth interventions, mobile devices are used to deliver treatment to individuals…

机器学习 · 计算机科学 2020-07-24 Peng Liao , Predrag Klasnja , Susan Murphy

Main objective of this study is to introduce an expert system-based mHealth application that takes Artificial Intelligence support by considering previously introduced solutions from the literature and employing possible requirements for a…

人机交互 · 计算机科学 2021-08-23 Ismail Ali Afrah , Utku Kose

Designing theory-driven digital health interventions is a challenging task that needs support. We created a guide for the incomers in the field on how to design digital health interventions with case studies from the Cancer Better Life…

计算机与社会 · 计算机科学 2023-01-03 Aneta Lisowska , Szymon Wilk , Mor Peleg

To effect behavior change a successful algorithm must make high-quality decisions in real-time. For example, a mobile health (mHealth) application designed to increase physical activity must make contextually relevant suggestions to…

机器学习 · 统计学 2020-03-31 Marianne Menictas , Sabina Tomkins , Susan A Murphy

In this work we provide a couple of contributions to the analysis of longitudinal data collected by smartphones in mobile health applications. First, we propose a novel statistical approach to disentangle personalized treatment and…

With today's technological advancements, mobile phones and wearable devices have become extensions of an increasingly diffused and smart digital infrastructure. In this paper, we examine mobile health (mHealth) platforms and their health…

综合经济学 · 经济学 2021-02-18 Anindya Ghose , Xitong Guo , Beibei Li , Yuanyuan Dang

The purpose of this paper is to engage with the Information Systems' contexts of use as a means to explain nuanced human-technology interaction. In this paper, we specifically propose the conceptualisation of healthcare-seeking as an…

计算机与社会 · 计算机科学 2021-08-24 Karen Sowon , Wallace Chigona

Sustaining long-term user engagement with mobile health (mHealth) interventions while preserving their high efficacy remains an ongoing challenge in real-world well-being applications. To address this issue, we introduce a new algorithm,…

人机交互 · 计算机科学 2024-07-17 Chaya Ben Yehuda , Ran Gilad-Bachrach , Yarin Udi

In mobile health interventions aimed at behavior change and maintenance, treatments are provided in real time to manage current or impending high risk situations or promote healthy behaviors in near real time. Currently there is great…

统计方法学 · 统计学 2016-08-18 Audrey Boruvka , Daniel Almirall , Katie Witkiewitz , Susan A. Murphy

Despite the significance of user engagement for efficacy of mobile health (mHealth) in the Global South, many such interventions do not include user-engaging attributes. This is because socio-technical aspects are frequently not considered…

计算机与社会 · 计算机科学 2021-08-25 Tochukwu Ikwunne , Lucy Hederman , P. J. Wall

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

The rapid proliferation of mobile devices and advancements in wireless technologies have given rise to a new era of healthcare delivery through mobile health (mHealth) applications. Design Science Research (DSR) is a widely used research…

计算机与社会 · 计算机科学 2024-09-13 Avnish Singh Jat , Tor-Morten Grønli , George Ghinea

Mobile health studies can leverage longitudinal sensor data from smartphones to guide the application of personalized medical interventions. In this paper, we propose that adoption of an instrumental variable approach for randomized trials…

Digital health interventions have been emerging in the last decade. Due to their interdisciplinary nature, digital health interventions are guided and influenced by theories (e.g., behavioral theories, behavior change technologies,…

人机交互 · 计算机科学 2018-10-23 Yunlong Wang , Ahmed Fadhil , Jan-Philipp Lange , Harald Reiterer

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

In today's connected society, many people rely on mHealth and self-tracking (ST) technology to help them adopt healthier habits with a focus on breaking their sedentary lifestyle and staying fit. However, there is scarce evidence of such…

人机交互 · 计算机科学 2023-04-19 Sofia Yfantidou , Pavlos Sermpezis , Athena Vakali

Mobile health (mHealth) applications have become increasingly valuable in preventive healthcare and in reducing the burden on healthcare organizations. The aim of this paper is to investigate the factors that influence user acceptance of…

计算机与社会 · 计算机科学 2023-05-11 Shaojing Fan , Ramesh C. Jain , Mohan S. Kankanhalli
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