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Empirica: a virtual lab for high-throughput macro-level experiments
Virtual labs allow researchers to design high-throughput and macro-level experiments that are not feasible in traditional in-person physical lab settings. Despite the increasing popularity of online research, researchers still face many technical and logistical barriers when designing and deploying...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516782/ https://www.ncbi.nlm.nih.gov/pubmed/33782900 http://dx.doi.org/10.3758/s13428-020-01535-9 |
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author | Almaatouq, Abdullah Becker, Joshua Houghton, James P. Paton, Nicolas Watts, Duncan J. Whiting, Mark E. |
author_facet | Almaatouq, Abdullah Becker, Joshua Houghton, James P. Paton, Nicolas Watts, Duncan J. Whiting, Mark E. |
author_sort | Almaatouq, Abdullah |
collection | PubMed |
description | Virtual labs allow researchers to design high-throughput and macro-level experiments that are not feasible in traditional in-person physical lab settings. Despite the increasing popularity of online research, researchers still face many technical and logistical barriers when designing and deploying virtual lab experiments. While several platforms exist to facilitate the development of virtual lab experiments, they typically present researchers with a stark trade-off between usability and functionality. We introduce Empirica: a modular virtual lab that offers a solution to the usability–functionality trade-off by employing a “flexible defaults” design strategy. This strategy enables us to maintain complete “build anything” flexibility while offering a development platform that is accessible to novice programmers. Empirica’s architecture is designed to allow for parameterizable experimental designs, reusable protocols, and rapid development. These features will increase the accessibility of virtual lab experiments, remove barriers to innovation in experiment design, and enable rapid progress in the understanding of human behavior. |
format | Online Article Text |
id | pubmed-8516782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-85167822021-10-29 Empirica: a virtual lab for high-throughput macro-level experiments Almaatouq, Abdullah Becker, Joshua Houghton, James P. Paton, Nicolas Watts, Duncan J. Whiting, Mark E. Behav Res Methods Article Virtual labs allow researchers to design high-throughput and macro-level experiments that are not feasible in traditional in-person physical lab settings. Despite the increasing popularity of online research, researchers still face many technical and logistical barriers when designing and deploying virtual lab experiments. While several platforms exist to facilitate the development of virtual lab experiments, they typically present researchers with a stark trade-off between usability and functionality. We introduce Empirica: a modular virtual lab that offers a solution to the usability–functionality trade-off by employing a “flexible defaults” design strategy. This strategy enables us to maintain complete “build anything” flexibility while offering a development platform that is accessible to novice programmers. Empirica’s architecture is designed to allow for parameterizable experimental designs, reusable protocols, and rapid development. These features will increase the accessibility of virtual lab experiments, remove barriers to innovation in experiment design, and enable rapid progress in the understanding of human behavior. Springer US 2021-03-29 2021 /pmc/articles/PMC8516782/ /pubmed/33782900 http://dx.doi.org/10.3758/s13428-020-01535-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Almaatouq, Abdullah Becker, Joshua Houghton, James P. Paton, Nicolas Watts, Duncan J. Whiting, Mark E. Empirica: a virtual lab for high-throughput macro-level experiments |
title | Empirica: a virtual lab for high-throughput macro-level experiments |
title_full | Empirica: a virtual lab for high-throughput macro-level experiments |
title_fullStr | Empirica: a virtual lab for high-throughput macro-level experiments |
title_full_unstemmed | Empirica: a virtual lab for high-throughput macro-level experiments |
title_short | Empirica: a virtual lab for high-throughput macro-level experiments |
title_sort | empirica: a virtual lab for high-throughput macro-level experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516782/ https://www.ncbi.nlm.nih.gov/pubmed/33782900 http://dx.doi.org/10.3758/s13428-020-01535-9 |
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