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

Robbers Cave04:49

Robbers Cave

14.5K
During the 1950s, the landmark Robbers Cave experiment demonstrated that when groups must compete with one another, intergroup conflict, hostility, and even violence may result. At the Oklahoman summer camp, two troops of boys—termed the Rattlers and the Eagles—took part in a week-long tournament. During this time, their negativity culminated in derogatory name-calling, fistfights, and even vandalism and destruction of property. However, this work also revealed that such tension...
14.5K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.7K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.7K
Deindividuation00:57

Deindividuation

28.8K
Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
28.8K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.1K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.1K
Social Facilitation01:04

Social Facilitation

34.4K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
34.4K
Group Design02:01

Group Design

9.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.9K

You might also read

Related Articles

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

Sort by
Same author

NeuroBACE-ML: A reliability-aware screening framework for high-throughput prioritization of potent BACE1 inhibitors.

Journal of molecular graphics & modelling·2026
Same author

Translational Geroscience Strategies for Delaying Multimorbidity.

ACS pharmacology & translational science·2026
Same author

Integrated in silico and in vitro evaluation of Camellia sinensis phytosomes in estrogen receptor-positive breast cancer.

Scientific reports·2026
Same author

Temporal social network modeling of mobile connectivity data with graph neural networks.

PloS one·2025
Same author

Polystyrene nanoplastic exposure increases susceptibility of Pseudomonas aeruginosa infection in Caenorhabditis elegans model of host-pathogen interaction in p38-MAP Kinase dependent manner.

Chemosphere·2025
Same author

Bioactive catechins from Potentilla fulgens Wall. ex Sims roots ameliorate oral carcinogenesis through modulation of oxidative stress, inflammatory, and apoptotic pathways.

Journal of ethnopharmacology·2025
Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Nov 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

9.6K

Human-agent coordination in a group formation game.

Tuomas Takko1, Kunal Bhattacharya2,3, Daniel Monsivais2

  • 1Department of Computer Science, Aalto University School of Science, 00076, Espoo, Finland. tuomas.takko@aalto.fi.

Scientific Reports
|May 25, 2021
PubMed
Summary
This summary is machine-generated.

Humans adapt to autonomous agents in cooperative games by becoming less risk-averse. Group composition impacts hybrid system performance, suggesting human control maximizes efficiency in less cooperative settings.

More Related Videos

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.3K
Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

16.9K

Related Experiment Videos

Last Updated: Nov 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

9.6K
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.3K
Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

16.9K

Area of Science:

  • Human-Computer Interaction
  • Game Theory
  • Artificial Intelligence

Background:

  • Cooperative games involving humans and autonomous agents present challenges in understanding human decision-making and behavioral adaptation.
  • Previous research focused on purely cooperative games between human players to model agent decision-making.

Purpose of the Study:

  • To investigate human behavior and system performance in a group formation game with mixed human and autonomous agent teams.
  • To analyze how different team compositions affect cooperation and efficiency.

Main Methods:

  • A group formation game was conducted on a small-world network with varying proportions of human and agent players.
  • Human players were incentivized to prioritize their own clusters, while agent behavior was modeled from prior human-human cooperative games.
  • Three experimental setups were used to examine the impact of cooperative autonomous agents in teams.

Main Results:

  • Human subjects exhibited less risk aversion when interacting with autonomous agents.
  • Overall system performance remained efficient due to a behavioral split between selfish and cooperative actions by humans.
  • Group composition significantly influenced cluster evolution in hybrid human-agent teams.

Conclusions:

  • Human-agent interaction leads to adaptive human behavior, balancing self-interest and cooperation.
  • Hybrid systems benefit from tailored group compositions.
  • Granting humans more control in less cooperative hybrid settings can optimize overall system performance.