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Data Collection by Experiments

Data Collection by Experiments

Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...

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Related Experiment Video

Updated: Sep 5, 2025

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

Published on: April 15, 2014

ReActLab: A Custom Framework for Sensorimotor Experiments "in-the-wild".

Priscilla Balestrucci¹, Dennis Wiebusch¹, Marc O Ernst¹

¹Department of Applied Cognitive Psychology, Faculty for Computer Science, Engineering, and Psychology, Ulm University, Ulm, Germany.

Frontiers in Psychology

|July 8, 2022

Summary

This summary is machine-generated.

ReActLab is a JavaScript framework for creating remote, browser-based psychology experiments. It enables standardized hardware for online data collection, overcoming limitations of existing platforms.

Keywords:

actions and perception engagement and user experience psychophysics remote experiments sensorimotor adaptation

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Area of Science:

Psychology
Human-Computer Interaction
Behavioral Research

Background:

Online platforms for psychology experiments have grown, accelerated by COVID-19 restrictions.
Existing platforms face limitations in customization and hardware variability for behavioral research.

Purpose of the Study:

To introduce ReActLab, a framework for developing remote, browser-based experiments.
To address challenges in online data collection, including design flexibility and hardware standardization.

Main Methods:

Developed ReActLab using open-source JavaScript libraries for browser-based execution.
Tested the framework using standardized Android tablets for remote data collection.
Implemented two experiments: a visuomotor adaptation task and a visual localization task.

Main Results:

ReActLab offers portability across operating systems and devices.
Standardized hardware via ReActLab mitigates confounding factors in remote data collection.
The framework successfully facilitated complex experimental designs outside laboratory settings.

Conclusions:

ReActLab provides a viable solution for conducting sophisticated behavioral research remotely.
The framework enhances the reliability and accessibility of online experimental data collection.
Further research can explore ReActLab's application in diverse psychological domains.