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dc.contributor.authorAlmaatouq, Abdullah
dc.contributor.authorBecker, Joshua
dc.contributor.authorHoughton, James P
dc.contributor.authorPaton, Nicolas
dc.contributor.authorWatts, Duncan J
dc.contributor.authorWhiting, Mark E
dc.date.accessioned2021-09-20T17:41:59Z
dc.date.available2021-09-20T17:41:59Z
dc.date.issued2021-03-29
dc.identifier.urihttps://hdl.handle.net/1721.1/132105
dc.description.abstractAbstract 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.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttps://doi.org/10.3758/s13428-020-01535-9en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer USen_US
dc.titleEmpirica: a virtual lab for high-throughput macro-level experimentsen_US
dc.typeArticleen_US
dc.contributor.departmentSloan School of Management
dc.contributor.departmentMIT Connection Science (Research institute)
dc.contributor.departmentMassachusetts Institute of Technology. Center for Computational Science and Engineering
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-04-04T04:06:14Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.embargo.termsN
dspace.date.submission2021-04-04T04:06:14Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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