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Gorilla in our midst: An online behavioral experiment builder.
Alexander L Anwyl-Irvine1,2, Jessica Massonnié3, Adam Flitton2,4
1MRC Cognition and Brain Science Unit, University of Cambridge, Cambridge, UK.
Behavior Research Methods
|April 25, 2019
Summary
Online behavioral research is now more accessible with the Gorilla Experiment Builder, a platform that overcomes technical barriers for reliable reaction-time experiments across diverse participants and settings.
Area of Science:
- Cognitive Psychology
- Behavioral Science
- Human-Computer Interaction
Background:
- Online behavioral research offers access to larger, more diverse samples than traditional lab settings.
- Technical challenges, including web browser inconsistencies, hinder accurate timing for reaction-time studies.
- Programming knowledge (e.g., JavaScript) is often required for reliable online experiment implementation.
Purpose of the Study:
- To review existing tools for online behavioral research, assessing their usability and timing accuracy.
- To introduce the Gorilla Experiment Builder, a platform designed to simplify and improve online experimentation.
- To demonstrate the Gorilla platform's capability for conducting reliable, reaction-time-sensitive studies across varied conditions.
Main Methods:
- A review of current online research tools was conducted.
- The Gorilla Experiment Builder platform was utilized for experiment authoring and deployment.
- A simplified flanker task from the attentional network task was administered to diverse participant groups (children, adults) in various settings and using different equipment.
Main Results:
- The Gorilla Experiment Builder successfully addressed usability and timing issues common in online research.
- The 'conflict network' effect was replicated across all tested participant groups, settings, and equipment.
- The platform demonstrated capability in running accurate reaction-time-sensitive experiments reliably.
Conclusions:
- The Gorilla Experiment Builder enhances accessibility and reliability for online behavioral research.
- The platform supports scalable research across diverse populations and conditions, including unsupervised settings.
- Further development is planned to address remaining limitations and introduce new features for online experimentation.
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