Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Atherosclerosis III: Management01:26

Atherosclerosis III: Management

Management of atherosclerosis involves an integrated strategy encompassing pharmacological treatment, surgical interventions, lifestyle changes, and nutrition therapy to address the multifactorial nature of the disease.Pharmacological TherapyA cornerstone of atherosclerosis management is the use of pharmacological agents. Statins, such as atorvastatin, are pivotal in inhibiting HMG-CoA reductase, an enzyme that catalyzes an initial step in cholesterol synthesis in the liver. This reduction in...
Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
Stress Prevention and Stress Management Techniques VI01:30

Stress Prevention and Stress Management Techniques VI

Adopting a healthier lifestyle often requires overcoming significant challenges, but leveraging psychological, social, and cultural resources can facilitate meaningful change. Effective self-change hinges on understanding and applying key tools such as motivation and goal setting, which help sustain efforts toward long-term health benefits.
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Cancer Prevention02:59

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Scope of Drinking Opportunity Creation Is Associated with Stronger Habits and Greater Water Intake in Patients with Kidney Stones.

Nutrients·2026
Same author

From Verbal Reports to Personalized Activity Trackers: Understanding the Challenges of Ground Truth Data Collection with Older Adults in the Wild.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same author

Functional vasculature in tumor organoids: Enabling precision medicine in oncology.

Biochimica et biophysica acta. Reviews on cancer·2026
Same author

Broadband and efficient microwave absorption of SiCnw@PDDA/MXene composites achieved by interfacial engineering and dielectric optimization.

Physical chemistry chemical physics : PCCP·2026
Same author

Characterizing middle-aged and older adults' perceptions of the cultural sensitivity and quality of generative artificial intelligence-authored text messages to promote physical activity.

The journals of gerontology. Series B, Psychological sciences and social sciences·2026
Same author

Machine Learning Approaches to Predict 24-Hour Urine Collection Results Based on Self-Reported Beverage Intake.

Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation·2026
Same journal

Proportional-Integral Controller-Based Deep Brain Stimulation Strategy for Controlling Excitatory-Inhibitory Network Synchronization.

Proceedings of the ... American Control Conference. American Control Conference·2026
Same journal

Pareto-Optimal Interventions in Gene Regulatory Networks using Signal Temporal Logic.

Proceedings of the ... American Control Conference. American Control Conference·2026
Same journal

Deep Reinforcement Learning for Intervention of Partially Observable Regulatory Networks.

Proceedings of the ... American Control Conference. American Control Conference·2026
Same journal

An Almost Global Estimator on SO(3) with Measurement on S<sup>2</sup>.

Proceedings of the ... American Control Conference. American Control Conference·2025
Same journal

Data-Driven Superstabilization of Linear Systems under Quantization.

Proceedings of the ... American Control Conference. American Control Conference·2025
Same journal

Model Predictive Path Integral Control of I<sup>2</sup>RIS Robot Using RBF Identifier and Extended Kalman Filter.

Proceedings of the ... American Control Conference. American Control Conference·2025
See all related articles
  1. Home
  3. A Risk Minimization Approach To Messaging Intervention For Physical Activity.
  1. Home
  3. A Risk Minimization Approach To Messaging Intervention For Physical Activity.

Related Experiment Video

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

A Risk Minimization Approach to Messaging Intervention for Physical Activity.

Zhengxing Li1, Sahand Kiani1, Constantino M Lagoa1

  • 1Department of Electrical and Computer Engineering, Pennsylvania State University, State College, PA 16801, USA.

Proceedings of the ... American Control Conference. American Control Conference
|May 25, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces an adaptive intervention framework using smartwatch data to boost physical activity in young adults. Personalized messages and timing, optimized by advanced models, effectively increase exercise levels.

Keywords:
Behavior ModificationJust-In-Time Adaptive InterventionMixed-Integer Linear ProgrammingNeural Network

More Related Videos

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Related Experiment Videos

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Area of Science:

  • Behavioral science
  • Health informatics
  • Data science

Background:

  • Young adults often have insufficient physical activity levels, impacting long-term health.
  • Personalized interventions are crucial for promoting sustained behavior change.
  • Real-time data and adaptive strategies can enhance intervention effectiveness.

Purpose of the Study:

  • To develop and evaluate a just-in-time adaptive message intervention framework.
  • To promote long-term physical activity in young adults with insufficient activity levels.
  • To personalize interventions using real-time smartwatch data and advanced control models.

Main Methods:

  • Approximating individual activity patterns using real-time smartwatch data.
  • Employing a Risk-Sensitive Shrinking Horizon Model Predictive Control (MPC) strategy.
  • Reformulating the MPC problem as a Mixed-Integer Linear Programming (MILP) problem.
  • Training a neural network offline using MILP-generated data for efficient online decision-making.

    • Main Results:

    • Individuals exhibit varied responses to physical activity interventions.
    • Optimized timing and message content can significantly enhance physical activity levels for many participants.
    • The developed framework demonstrated feasibility for real-time adaptive decision-making on smartphones.

    Conclusions:

    • A just-in-time adaptive message intervention framework can effectively promote long-term physical activity.
    • Personalization based on real-time data and optimized control strategies is key to successful interventions.
    • The TryAIM clinical trial results support the potential of this approach in public health settings.