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Machine learning techniques in adaptive and personalized systems for health and wellness
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
[HTML][HTML] Barriers to and facilitators for using nutrition apps: systematic review and conceptual framework
Background: Nutrition apps are effective in changing eating behavior and diet-related health
risk factors. However, while they may curb growing overweight and obesity rates …
risk factors. However, while they may curb growing overweight and obesity rates …
[HTML][HTML] Efficacy of the mindfulness meditation mobile app “calm” to reduce stress among college students: Randomized controlled trial
Background: College students experience high levels of stress. Mindfulness meditation
delivered via a mobile app may be an appealing, efficacious way to reduce stress in college …
delivered via a mobile app may be an appealing, efficacious way to reduce stress in college …
User engagement and abandonment of mHealth: a cross-sectional survey
Mobile health (mHealth) apps have great potential to improve health outcomes. Given that
mHealth apps have become ubiquitous, there is limited focus on their abandonment. Data …
mHealth apps have become ubiquitous, there is limited focus on their abandonment. Data …
Personal informatics in interpersonal contexts: towards the design of technology that supports the social ecologies of long-term mental health management
Personal informatics systems for supporting health largely grew out of a" self"-centric
orientation: self-tracking, self-reflection, self-knowledge, self-experimentation, self …
orientation: self-tracking, self-reflection, self-knowledge, self-experimentation, self …
Factors influencing continued usage behavior on mobile health applications
(1) Background: As people pay more attention to health, mobile health applications
(mHealth apps) are becoming popular. These apps offer health services that run on mobile …
(mHealth apps) are becoming popular. These apps offer health services that run on mobile …
[HTML][HTML] Designing reinforcement learning algorithms for digital interventions: pre-implementation guidelines
Online reinforcement learning (RL) algorithms are increasingly used to personalize digital
interventions in the fields of mobile health and online education. Common challenges in …
interventions in the fields of mobile health and online education. Common challenges in …
[HTML][HTML] Determinants for sustained use of an activity tracker: observational study
Background: A lack of physical activity is considered to cause 6% of deaths globally.
Feedback from wearables such as activity trackers has the potential to encourage daily …
Feedback from wearables such as activity trackers has the potential to encourage daily …
Trackly: A customisable and pictorial self-tracking app to support agency in multiple sclerosis self-care
Self-tracking is an important part of self-care. However, predefined self-tracking approaches
can impede people's agency in managing their health. We investigated a customisable and …
can impede people's agency in managing their health. We investigated a customisable and …
Designing health and fitness apps with older adults: Examining the value of experience-based co-design
Identifying useful features of health and fitness technologies has the potential to lead to
more effective pervasive technology interventions. Through collaborative creative …
more effective pervasive technology interventions. Through collaborative creative …