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

165
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...
165
Implicit Personality Theories01:23

Implicit Personality Theories

17
Implicit personality theory explains how individuals make assumptions about the relationships between personality traits, behaviors, and character types. When people learn that someone possesses a particular trait, they tend to infer the presence of other related characteristics, forming a cohesive impression. This cognitive shortcut plays a crucial role in social interactions and interpersonal judgments.Central Traits and Their InfluenceSolomon Asch's seminal 1946 study highlighted the power...
17
Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

48
Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
48
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

32
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
32
Cattell's Theory of Intelligence01:25

Cattell's Theory of Intelligence

7.4K
Raymond Cattell, along with John Horn, made significant contributions to our understanding of intelligence by distinguishing between two types: fluid intelligence and crystallized intelligence.
Fluid intelligence involves the capacity to solve new problems and adapt to unfamiliar situations. It's the type of intelligence individuals use when they encounter a novel problem or puzzle that requires innovative thinking. For instance, figuring out how to operate a new gadget relies heavily on...
7.4K
Social Loafing01:37

Social Loafing

36.5K
Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
36.5K

You might also read

Related Articles

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

Sort by
Same author

Frontal EEG Asymmetry and Attachment Style During Sequential Decision-Making in the Secretary Problem.

Behavioral sciences (Basel, Switzerland)·2026
Same author

Event-Based Camera Modeling for Atmospheric Turbulence Prediction.

Sensors (Basel, Switzerland)·2025
Same author

Predicting attachment style from EEG data on the Flanker task.

Frontiers in human neuroscience·2025
Same author

Improving attachment style clustering with ROCKET and CatBoost: Insights from EEG analysis.

PloS one·2025
Same author

Attachment Style, Task Difficulty, and Feedback Type: Effects on Cognitive Load.

Behavioral sciences (Basel, Switzerland)·2025
Same author

Editorial: Neuroplasticity and imaging methods in rehabilitation.

Frontiers in human neuroscience·2025
Same journal

Parkinson's disease classification using optimized attention-based deep learning from EEG signals with interpretable sub-band topography.

Brain informatics·2026
Same journal

A quantitative and precision‑oriented neuronal reconstruction approach based on data grading.

Brain informatics·2026
Same journal

Evaluating multi-level membership inference risk in federated EEG learning.

Brain informatics·2026
Same journal

Single-cell reconstruction of whole-brain efferent projections from mouse ventral posteromedial thalamus.

Brain informatics·2026
Same journal

RDoC-informed explainable AI as a paradigm for multilevel Alzheimer's disease diagnosis and progression prediction: a systematic review.

Brain informatics·2026
Same journal

Synergistic and redundant information dynamics exhibit dissociable alterations across schizophrenia and neurodevelopmental conditions.

Brain informatics·2026
See all related articles

Related Experiment Video

Updated: Oct 4, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.5K

Modeling and predicting individual tacit coordination ability.

Dor Mizrahi1, Ilan Laufer2, Inon Zuckerman2

  • 1Department of Industrial Engineering and Management, Ariel University, Ariel, Israel. dor.mizrahi1@msmail.ariel.ac.il.

Brain Informatics
|February 5, 2022
PubMed
Summary
This summary is machine-generated.

Human coordination ability in tacit coordination games varies significantly, with distinct strategic profiles influencing success. This study models this variability, revealing diverse decision-making behaviors for improved human-machine interaction.

Keywords:
Cognitive modelingDecision-makingTacit coordination

More Related Videos

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

10.9K
Corticospinal Excitability Modulation During Action Observation
12:33

Corticospinal Excitability Modulation During Action Observation

Published on: December 31, 2013

9.0K

Related Experiment Videos

Last Updated: Oct 4, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.5K
The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

10.9K
Corticospinal Excitability Modulation During Action Observation
12:33

Corticospinal Excitability Modulation During Action Observation

Published on: December 31, 2013

9.0K

Area of Science:

  • Behavioral economics
  • Game theory
  • Cognitive science

Background:

  • Previous research suggested individual differences in tacit coordination game success.
  • Variability in tacit coordination ability remained unexamined.
  • This study addresses the need to model and describe this variability.

Purpose of the Study:

  • To model and describe variability in human decision-making within tacit coordination games.
  • To characterize the distribution of tacit coordination ability.
  • To link individual strategic profiles with coordination success.

Main Methods:

  • Large-scale experiment collecting behavioral data.
  • Gaussian mixture models to describe data multimodality.
  • Multivariate linear regression and PCA to build a predictive model.

Main Results:

  • Coordination ability follows a multimodal distribution, indicating distinct ability levels.
  • A significant relationship exists between player strategic profiles and coordination ability.
  • The developed predictive model demonstrated robust performance via external validation.

Conclusions:

  • Individual tacit coordination ability and strategic profiles exhibit significant diversity.
  • Findings offer insights into human decision-making variability in coordination tasks.
  • Results can inform the development of enhanced human-machine interaction algorithms.