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

Modeling in Therapy01:26

Modeling in Therapy

627
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
627
Operant Conditioning Intervention01:24

Operant Conditioning Intervention

578
Operant conditioning serves as a foundational principle in therapeutic interventions aimed at modifying maladaptive behaviors. Central to this approach is the notion that behaviors, both adaptive and maladaptive, are learned through reinforcement. By analyzing the environmental factors that reinforce problematic behaviors, clinicians can design interventions to weaken these reinforcements and replace maladaptive behaviors with healthier alternatives.
In operant conditioning, behaviors that are...
578
Behavior Modification01:21

Behavior Modification

831
Behavioral approaches have often been criticized for ignoring mental processes and focusing solely on observable behavior. However, these approaches provide an optimistic perspective for individuals seeking to change their behaviors. Rather than concentrating on intrinsic personality traits, behavioral approaches suggest that even longstanding habits can be modified by changing the reward contingencies that maintain them.
A real-world application of operant conditioning principles is applied...
831
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.2K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.2K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

312
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
312
Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

54
Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
54

You might also read

Related Articles

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

Sort by
Same author

Effects of the Fit2Thrive technology-supported physical activity promotion intervention components on sedentary behavior and light physical activity in breast cancer survivors.

Journal of cancer survivorship : research and practice·2026
Same author

"<i>Mango Mango</i>, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner.

Proceedings of the ACM on human-computer interaction·2026
Same author

Behavior change intervention targeting physical activity and diet improves stress and sleep.

PloS one·2026
Same author

Bridging the divide in digital therapeutics (DTx): Partnership strategies for broader representation across DTx development and deployment.

PLOS digital health·2026
Same author

A latent class location-scale regression model with an application to calorie intake data.

Journal of behavioral medicine·2026
Same author

Longitudinal monitoring of twenty homes reveals spatiotemporal dynamics which require new models of discomfort and thermostat use.

Scientific reports·2026

Related Experiment Video

Updated: Mar 6, 2026

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

15.0K

Behavioral informatics: Dynamical models for measuring and assessing behaviors for precision interventions.

Misha Pavel, Holly Jimison, Bonnie Spring

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 9, 2017
    PubMed
    Summary

    Computational models can predict intervention effects on health behaviors. A new hybrid model, using cognitive learning theories, shows promise for personalized health interventions and assessing coaching effectiveness.

    More Related Videos

    Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station INBEST
    12:18

    Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station INBEST

    Published on: April 23, 2015

    10.5K
    Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
    11:29

    Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

    Published on: June 20, 2020

    9.9K

    Related Experiment Videos

    Last Updated: Mar 6, 2026

    Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
    16:23

    Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

    Published on: February 26, 2014

    15.0K
    Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station INBEST
    12:18

    Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station INBEST

    Published on: April 23, 2015

    10.5K
    Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
    11:29

    Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

    Published on: June 20, 2020

    9.9K

    Area of Science:

    • Behavioral Informatics
    • Computational Modeling
    • Health Psychology

    Background:

    • Poor health behaviors significantly impact disease and quality of life.
    • Technological advancements allow for continuous, objective behavior assessment.
    • Personalized interventions require predicting intervention effects.

    Purpose of the Study:

    • To explore computational modeling approaches for behavior change.
    • To introduce a novel hybrid computational model for behavior change.
    • To demonstrate system-theoretic approaches for evaluating health interventions.

    Main Methods:

    • Review of various computational modeling techniques.
    • Development of a hybrid model based on dual-process theory and cognitive learning.
    • Analysis of mobile intervention data for model validation.
    • Application of system-theoretic methods to assess coaching and behavior.

    Main Results:

    • The proposed hybrid model aligns with mobile intervention data.
    • Computational models offer a pathway to assess and predict intervention impacts.
    • System-theoretic approaches effectively evaluate coaching and health behavior changes.

    Conclusions:

    • Computational models are crucial for optimizing precision health interventions.
    • The novel hybrid model provides a robust framework for understanding behavior change.
    • Technology-enabled behavioral informatics can enhance healthcare outcomes.