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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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Updated: Dec 27, 2025

An Open-Source, Fully Customizable 5-Choice Serial Reaction Time Task Toolbox for Automated Behavioral Training of Rodents
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OpenMATB: A Multi-Attribute Task Battery promoting task customization, software extensibility and experiment

J Cegarra1, B Valéry2, E Avril2

  • 1Laboratoire Sciences de la Cognition, Technologie, Ergonomie (SCoTE EA 7420), Université de Toulouse, INU Champollion, Albi, France. julien.cegarra@univ-jfc.fr.

Behavior Research Methods
|March 7, 2020
PubMed
Summary
This summary is machine-generated.

OpenMATB offers an open-source Multi-Attribute Task Battery (MATB) for studying automation effects in piloting. Its design emphasizes customization, extensibility, and replicability for human factors research.

Keywords:
Aircraft pilotingExperiment replicabilityMicroworldSoftware extensibilityTask batteryTask customization

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Area of Science:

  • Human Factors and Ergonomics
  • Cognitive Psychology
  • Human-Computer Interaction

Background:

  • The Multi-Attribute Task Battery (MATB) has been a key tool for 20 years in studying automation's impact on aviation tasks.
  • Automation's role in decision-making, mental workload, and vigilance has significantly evolved, necessitating updated research tools.

Purpose of the Study:

  • To introduce OpenMATB, an open-source variant of MATB, addressing the need for modern research capabilities.
  • To detail how OpenMATB meets requirements for task customization, software extensibility, and experiment replicability.

Main Methods:

  • Presentation of OpenMATB's software architecture and features.
  • Emphasis on the plugin system for integrating custom functionalities and psychophysiological devices.
  • Highlighting the use of simple script file formats for enhanced audibility and scenario management.

Main Results:

  • OpenMATB provides a customizable and extensible platform for MATB.
  • The software architecture facilitates experiment replicability through accessible source code and auditable scenario files.
  • A plugin system is central to OpenMATB's adaptability for diverse research needs.

Conclusions:

  • OpenMATB is a valuable, free software resource for researchers investigating automation in human factors and ergonomics.
  • The design of OpenMATB supports current and future research trends in human-automation interaction.
  • The emphasis on open-source principles promotes collaboration and advancement in the field.