An open-source Modular Online Psychophysics Platform (MOPP)
Yuval Samoilov-Kats, Matan Noach, Noam Beer, Yuval Efrati, Adam Zaidel

TL;DR
MOPP is an open-source, web-based platform that simplifies online psychophysics experiments, enabling researchers to easily build, share, and run experiments with calibration and participant verification, producing lab-like data remotely.
Contribution
This paper introduces MOPP, a modular, open-source online platform that addresses key challenges in conducting psychophysics research remotely.
Findings
Pilot data matched laboratory results
Platform enabled large-scale online data collection
Built-in calibration and participant verification features
Abstract
In recent years, there is a growing need and opportunity to use online platforms for psychophysics research. Online experiments make it possible to evaluate large and diverse populations remotely and quickly, complementing laboratory-based research. However, developing and running online psychophysics experiments poses several challenges: i) a high barrier-to-entry for researchers who often need to learn complex code-based platforms, ii) an uncontrolled experimental environment, and iii) questionable credibility of the participants. Here, we introduce an open-source Modular Online Psychophysics Platform (MOPP) to address these challenges. Through the simple web-based interface of MOPP, researchers can build modular experiments, share them with others, and copy or modify tasks from each others environments. MOPP provides built-in features to calibrate for viewing distance and to measure…
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Taxonomy
TopicsEmotion and Mood Recognition · Mental Health Research Topics · Digital Mental Health Interventions
