UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Empirica: a virtual lab for high-throughput macro-level experiments

Almaatouq, A; Becker, J; Houghton, JP; Paton, N; Watts, DJ; Whiting, ME; (2021) Empirica: a virtual lab for high-throughput macro-level experiments. Behavior Research Methods 10.3758/s13428-020-01535-9. (In press). Green open access

[thumbnail of Becker_Almaatouq2021_Article_EmpiricaAVirtualLabForHigh-thr.pdf]
Preview
Text
Becker_Almaatouq2021_Article_EmpiricaAVirtualLabForHigh-thr.pdf - Published Version

Download (1MB) | Preview

Abstract

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.

Type: Article
Title: Empirica: a virtual lab for high-throughput macro-level experiments
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.3758/s13428-020-01535-9
Publisher version: https://doi.org/10.3758/s13428-020-01535-9
Language: English
Additional information: © 2021 Springer Nature Switzerland AG. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Crowdsourcing, Online research, Virtual lab
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management
URI: https://discovery.ucl.ac.uk/id/eprint/10119065
Downloads since deposit
40Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item