Creating an Online Laboratory

Abstract

Existing online experimental research uses customized software integrating with specific, predefined subject pools such as Mechanical Turk to perform single experiments. The weakness of this decentralized, ad hoc approach to online experimentation is a continued dependence on specific subject pools, experiments that remain difficult to replicate or transfer to other researchers, and a continuous re-inventing the wheel as every social scientist must solve the same problems such as recruiting and managing large numbers of participants. Since 2011, we developed a robust, scalable, and flexible platform called Volunteer Science (http://volunteerscience.com) for designing, testing, and running experiments online. This platform addresses numerous challenges with online research and laboratory experimentation in general, making it easy to implement, modify, elaborate on, validate, replicate, and audit research. In addition, we built a diverse set of subject recruitment strategies including integrating with social media, Amazon's Mechanical Turk, and class-based research participation. Finally, we implemented and tested six experimental platforms from across disciplines to perform our own research and validate the platform.

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Document Details

Document Type
Technical Report
Publication Date
Mar 18, 2015
Accession Number
ADA623271

Entities

People

  • David Lazer
  • Jason Radford
  • Waleed Melies

Organizations

  • Northeastern University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Behavioral Sciences
  • Computer Programming
  • Computer Science
  • Computers
  • Department Of Defense
  • Engineering
  • Mathematics
  • Psychology
  • Reaction Time
  • Social Media
  • Social Networking Services
  • Social Networks
  • Social Sciences
  • Students
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Research Science/Academic Research