Related Experiment Video
Updated: Jun 8, 2025
06:48
The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
9.3K
Investigating immersion and migration decisions for agent-based modelling: A cautionary tale.
Jakub Bijak1, Ariana Modirrousta-Galian1, Philip A Higham1
1University of Southampton, Southampton, UK.
Open Research Europe
|November 1, 2024
Summary
This study explored immersion's effect on migration decisions using an interactive game. Complex experimental designs introduced confounds, showing that modeling needs shouldn't compromise experimental rigor for agent-based models.
Area of Science:
- Agent-based modeling
- Cognitive science
- Migration studies
Background:
- Agent-based models (ABMs) simulate human behavior but often rely on restrictive assumptions.
- Standard surveys may lack ecological validity for complex, emotive decisions like irregular migration.
- Immersive contexts could improve the accuracy of experimental data for ABMs.
Purpose of the Study:
- To examine the effect of immersion on risk-taking in migration decisions.
- To inform the multi-disciplinary construction of an agent-based model of migration.
- To address the lack of ecological validity in survey data for ABMs.
Main Methods:
- A preregistered study using a choice-based interactive fiction game.
- Four experimental conditions: three immersive game variations and one standard survey format.
- 1000 Prolific users participated across conditions.
Main Results:
- The experimental design to enhance ecological validity proved too complex.
- Distinct experimental conditions introduced unintended confounds, hindering result interpretation.
- Results serve as a cautionary tale for agent-based modelers regarding experimental design principles.
Conclusions:
- Modeling needs must not override fundamental principles of experimental design.
- Further rigorous research is needed to improve the ecological validity of data for ABMs.
- The study highlights challenges in integrating immersive experimental data into agent-based modeling.
Keywords:
Agent-based modellingcognitive experimentsdecision-makinginterdisciplinarymigrationmigration decisionsrisk-takingserious gamesMore Related Videos
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
13.3K
06:28A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
Published on: August 26, 2018
5.9K
Related Concept Videos
00:53Migration
7.9K
Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
7.9K
01:19Cell Migration
4.7K
Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
4.7K
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
42
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
42
01:09Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model
275
Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
275
02:30Naturalistic Observations
15.4K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.4K
01:21Chemotaxis and Direction of Cell Migration
3.3K
Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon...
3.3K