Jove
Visualize
Contact Us

Related Concept Videos

The Scope of Physics01:17

The Scope of Physics

52.9K
Physics is concerned with the interactions of energy, matter, space, and time, in order to discover the underlying mechanisms that underpin all phenomena. The word "physics" comes from the Greek word "phúsis", which means nature. Physics seeks to comprehend the natural world around us at its most fundamental level. It emphasizes the use of quantitative laws to do this, which could be valuable in other fields that want to push the performance boundaries of present...
52.9K
Review and Preview01:10

Review and Preview

8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

11.2K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.2K
Global Climate Change01:50

Global Climate Change

28.9K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
28.9K
Net Change Theorem01:22

Net Change Theorem

69
The Net Change Theorem is a fundamental principle in calculus that establishes a direct relationship between a function’s rate of change and its accumulated change over an interval. Mathematically, it states that the definite integral of a function's derivative over a given interval [a,b] yields the net change in the original function:This theorem has significant applications in various real-world scenarios, including physics, economics, and engineering. A particularly useful application...
69
Rates of Change01:20

Rates of Change

87
The rate of change is a central concept in mathematics that quantifies how one variable varies in response to another. It serves as a foundational tool in modeling dynamic systems across disciplines such as physics, biology, economics, and engineering. Understanding both average and instantaneous rates of change enables the analysis of behavior in functions that describe real-world phenomena.Average Rate of ChangeFor a function f(x) defined over an interval [x1,x2], the average rate of change...
87

You might also read

Related Articles

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

Sort by
Same author

The Impacts of a Primary Care-Based Dietitian Health Coaching Intervention on Patients' Health: An Observational Study.

American journal of lifestyle medicine·2026
Same author

Associations between Perceived Costs and Rewards of Sun Protection and Sun Safety Practices among Rural and Urban High School Students.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

Effectiveness of Nonpharmacologic Treatments for Chronic Low Back Pain : A Sequential, Multiple-Assignment, Randomized Trial.

Annals of internal medicine·2026
Same author

Comparative Effectiveness of SGLT2 Inhibitor and GLP-1 Receptor Agonist on Kidney and Cardiovascular Outcomes by Kidney Failure Risk.

Journal of the American Society of Nephrology : JASN·2026
Same author

Results From the 2024 United States Report Card on Physical Activity for Children and Youth.

Journal of physical activity & health·2025
Same author

Preventing Type II Diabetes Through Physical Activity and Healthy Eating in Adolescents: Examining the Preliminary Effectiveness of a Health Education Curriculum.

Journal of physical activity & health·2025
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 Experiment Video

Updated: Jan 30, 2026

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
06:55

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents

Published on: December 2, 2015

23.5K

The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review.

Lingyi Fu1, Ryan Burns1, Yuhuan Xie1

  • 1Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, United States.

Journal of Medical Internet Research
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

AI chatbots show promise for health behavior change, acting as coaches or assistants. While most studies show positive outcomes, further research is needed for long-term effects and specific behaviors.

Keywords:
conversational agentdiethealth behavior changemachine learningphysical activitysleep

More Related Videos

High-resolution Live Imaging of Cell Behavior in the Developing Neuroepithelium
10:59

High-resolution Live Imaging of Cell Behavior in the Developing Neuroepithelium

Published on: April 12, 2012

13.8K
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

6.4K

Related Experiment Videos

Last Updated: Jan 30, 2026

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
06:55

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents

Published on: December 2, 2015

23.5K
High-resolution Live Imaging of Cell Behavior in the Developing Neuroepithelium
10:59

High-resolution Live Imaging of Cell Behavior in the Developing Neuroepithelium

Published on: April 12, 2012

13.8K
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

6.4K

Area of Science:

  • Digital Health
  • Human-Computer Interaction
  • Behavioral Science

Background:

  • Artificial intelligence (AI) chatbots enhance human-computer interaction via natural language.
  • Mobile health interventions leverage AI chatbots to improve cost-effectiveness, engagement, autonomy, personalization, and support for health behavior change.
  • AI chatbots offer a more natural and intuitive approach to health behavior modification.

Purpose of the Study:

  • To provide a comprehensive overview of AI chatbot design, development, and evaluation in health behavior change.
  • To examine the roles, theoretical underpinnings, behavior change techniques, development workflows, and validation frameworks of AI chatbots across eight health behaviors.
  • To synthesize current evidence on the effectiveness of AI chatbots for promoting health behavior change.

Main Methods:

  • A systematic scoping review following the PRISMA-ScR framework was conducted.
  • Studies were identified from nine major bibliographic databases, with screening and data extraction performed using specialized software (Covidence, Microsoft Excel).
  • A narrative synthesis, content analysis, and evidence mapping approach was used to synthesize findings from 43 included studies.

Main Results:

  • AI chatbots primarily function as routine coaches (62.79%) or on-demand assistants (27.91%), often guided by cognitive behavioral therapy principles and techniques like goal setting.
  • Common development involved non-code platforms integrated with social messaging apps. Evaluations covered technical performance, usability, engagement, and health behavior change.
  • While 81.67% of comparisons showed positive outcomes, evidence for significant health behavior change remains exploratory, with benefits mainly observed in physical activity, smoking cessation, and stress management.

Conclusions:

  • The review offers a roadmap for AI chatbot development and evaluation in health behavior change.
  • Further research is recommended to explore cost-effectiveness, implementation outcomes, and under-researched behaviors like sleep and weight management.
  • AI chatbots represent a promising, yet evolving, tool for digital health interventions.