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Open-source software for mouse-tracking in Qualtrics to measure category competition

Mouse-tracking is a sophisticated tool for measuring rapid, dynamic cognitive processes in real time, particularly in experiments investigating competition between perceptual or cognitive categories. We provide user-friendly, open-source software (https://osf.io/st2ef/) for designing and analyzing s...

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Detalles Bibliográficos
Autores principales: Mathur, Maya B., Reichling, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797645/
https://www.ncbi.nlm.nih.gov/pubmed/31197629
http://dx.doi.org/10.3758/s13428-019-01258-6
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author Mathur, Maya B.
Reichling, David B.
author_facet Mathur, Maya B.
Reichling, David B.
author_sort Mathur, Maya B.
collection PubMed
description Mouse-tracking is a sophisticated tool for measuring rapid, dynamic cognitive processes in real time, particularly in experiments investigating competition between perceptual or cognitive categories. We provide user-friendly, open-source software (https://osf.io/st2ef/) for designing and analyzing such experiments online using the Qualtrics survey platform. The software consists of a Qualtrics template with embedded JavaScript and CSS along with R code to clean, parse, and analyze the data. No special programming skills are required to use this software. As we discuss, this software could be readily modified for use with other online survey platforms that allow the addition of custom JavaScript. We empirically validate the provided software by benchmarking its performance on previously tested stimuli (android robot faces) in a category-competition experiment with realistic crowdsourced data collection.
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spelling pubmed-67976452019-11-01 Open-source software for mouse-tracking in Qualtrics to measure category competition Mathur, Maya B. Reichling, David B. Behav Res Methods Article Mouse-tracking is a sophisticated tool for measuring rapid, dynamic cognitive processes in real time, particularly in experiments investigating competition between perceptual or cognitive categories. We provide user-friendly, open-source software (https://osf.io/st2ef/) for designing and analyzing such experiments online using the Qualtrics survey platform. The software consists of a Qualtrics template with embedded JavaScript and CSS along with R code to clean, parse, and analyze the data. No special programming skills are required to use this software. As we discuss, this software could be readily modified for use with other online survey platforms that allow the addition of custom JavaScript. We empirically validate the provided software by benchmarking its performance on previously tested stimuli (android robot faces) in a category-competition experiment with realistic crowdsourced data collection. Springer US 2019-06-13 2019 /pmc/articles/PMC6797645/ /pubmed/31197629 http://dx.doi.org/10.3758/s13428-019-01258-6 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Mathur, Maya B.
Reichling, David B.
Open-source software for mouse-tracking in Qualtrics to measure category competition
title Open-source software for mouse-tracking in Qualtrics to measure category competition
title_full Open-source software for mouse-tracking in Qualtrics to measure category competition
title_fullStr Open-source software for mouse-tracking in Qualtrics to measure category competition
title_full_unstemmed Open-source software for mouse-tracking in Qualtrics to measure category competition
title_short Open-source software for mouse-tracking in Qualtrics to measure category competition
title_sort open-source software for mouse-tracking in qualtrics to measure category competition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797645/
https://www.ncbi.nlm.nih.gov/pubmed/31197629
http://dx.doi.org/10.3758/s13428-019-01258-6
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