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Lessons Learned from Crowdsourcing Complex Engineering Tasks.

Matthew Staffelbach1, Peter Sempolinski1, Tracy Kijewski-Correa2

  • 1Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, United States of America.

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Crowdsourcing can effectively handle complex engineering tasks like wind simulations when provided with proper training and compensation. Crowd workers achieved results comparable to graduate students, expanding the potential of crowdsourcing for technical challenges.

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Area of Science:

  • Engineering
  • Computational Science
  • Human-Computer Interaction

Background:

  • Crowdsourcing, utilizing platforms like Amazon Mechanical Turk, is typically used for microtasks.
  • Its application to complex, technical challenges in engineering remains largely unexplored.
  • Harnessing crowd labor for preliminary analysis of complex data is a key area of interest.

Purpose of the Study:

  • To investigate the feasibility of using crowdsourcing for complex engineering tasks, specifically wind simulation analysis and creation.
  • To compare the performance of crowd workers against civil engineering graduate students on these tasks.
  • To determine the limits and potential of crowdsourcing in solving real-world engineering problems.

Main Methods:

  • Phase 1: Crowd workers and graduate students analyzed wind simulation data by answering posed questions.
  • Phase 2: Crowd workers and students created wind simulations using the Virtual Wind Tunnel website.
  • Performance was evaluated by comparing the accuracy and effectiveness of the analyses and simulations.

Main Results:

  • Crowd workers, with adequate tutorials and fair compensation, demonstrated competence comparable to graduate students in complex tasks.
  • Effectiveness in more complex tasks increased with enhanced communication, blurring the lines with outsourcing.
  • The study successfully extended the application of crowdsourcing to sophisticated engineering problems.

Conclusions:

  • Crowdsourcing is a viable method for complex engineering tasks, provided sufficient training and compensation are offered.
  • As task complexity increases, effective communication strategies become crucial for successful crowd engagement.
  • This research expands the understanding of crowdsourcing's potential in technical and scientific domains.