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

Behavior Modification01:21

Behavior Modification

536
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...
536
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
5.1K
Modeling in Therapy01:26

Modeling in Therapy

378
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...
378
Operant Conditioning Intervention01:24

Operant Conditioning Intervention

451
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...
451
Decision Making01:20

Decision Making

884
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
884
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.8K

You might also read

Related Articles

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

Sort by
Same author

Assessing Image Quality and Diagnostic Performance of Quadruple-Low Coronary CT Angiography with Deep Learning in High-BMI Patients.

Academic radiology·2026
Same author

Probing Complex Photophysics in Gold Nanoclusters.

Chimia·2026
Same author

Framework Flexibility Governs Molecular Accessibility and Selectivity in Zeolite Catalysts.

JACS Au·2026
Same author

RNA-binding protein ELAVL1 modulates WDR36 to inhibit p53 pathway and reduce calcium overload in retinal cells under acute pressure elevation.

Open life sciences·2026
Same author

Versatile Magneto-Dielectric Response of Epitaxial Thin Films of the High Entropy Oxide Perovskite Nd(Cr<sub>0.2</sub>Mn<sub>0.2</sub>Fe<sub>0.2</sub>Co<sub>0.2</sub>Ni<sub>0.2</sub>)O<sub>3</sub>.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

High-throughput in vitro prediction of available energy in feed ingredients for pigs using a novel computer-controlled digestion system.

Journal of animal science·2026

Related Experiment Video

Updated: Jan 15, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.4K

Navigating unsafe behavioral decision-making in workplaces: An agent-based simulation for intervention and

Qingfeng Meng1, Jiangtao Zhao1, Zhen Li1

  • 1School of Management, Jiangsu University, Zhenjiang, China.

Work (Reading, Mass.)
|January 13, 2026
PubMed
Summary
This summary is machine-generated.

Effective workplace safety management reduces accidents. This study found that management interventions and moderate punishments curb unsafe behaviors, while worker interactions should be managed based on site risk levels for optimal safety performance.

Keywords:
agent-based modelingconstruction safety managementsafety cognition processessafety intervention simulation

More Related Videos

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.3K
Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
11:51

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making

Published on: March 2, 2011

15.6K

Related Experiment Videos

Last Updated: Jan 15, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.4K
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.3K
Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
11:51

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making

Published on: March 2, 2011

15.6K

Area of Science:

  • Occupational Safety and Health
  • Behavioral Science
  • Risk Management

Background:

  • Worker unsafe behaviors are primary causes of workplace accidents.
  • Limited understanding of dynamic decision-making in safety cognition, group interactions, management, and site conditions as a holistic system.
  • Need to explore safety performance across diverse site risk environments and intervention measures.

Purpose of the Study:

  • To explore workers' safety performance across different site risk environments.
  • To analyze the effects of intervention frequency, punishment strictness, and interaction intensity on dynamic safety performance.
  • To investigate dynamic safety performance in low, medium, and high-risk environments.

Main Methods:

  • Agent-based simulation model developed to analyze individual safety cognition and behavioral decision-making.
  • Examined cognitive decision-making processes within workgroup interactions, management strategies, and environmental contexts.
  • Simulated various intervention scenarios across different risk levels.

Main Results:

  • Management interventions significantly reduce unsafe behaviors in all risk environments.
  • Punishment strictness effectively inhibits unsafe behaviors; moderate punishment is most effective in low-risk settings.
  • Optimal worker interaction strategies depend on risk level: limit in low-risk, promote in medium-risk, and require additional measures in high-risk environments.

Conclusions:

  • Provides a new foundation for understanding worker unsafe behaviors and effective management strategies.
  • Offers valuable insights for project managers in cognitive management and policy analysis.
  • Highlights the importance of tailored interventions based on site-specific risk levels and worker interactions.