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A Model for Citizen Scientist Contribution in an Image Tagging Task

[+] Author Affiliations
Jeffrey Laut, Francesco Cappa, Oded Nov, Maurizio Porfiri

New York University Tandon School of Engineering, Brooklyn, NY

Paper No. DSCC2016-9686, pp. V001T14A001; 7 pages
  • ASME 2016 Dynamic Systems and Control Conference
  • Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation
  • Minneapolis, Minnesota, USA, October 12–14, 2016
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5069-5
  • Copyright © 2016 by ASME


Citizen science projects are becoming increasingly popular, yet they typically rely on only a small portion of users for the majority of contribution. In this paper, we propose a model for citizen scientist contribution in an online image tagging task. The model describes participant contribution in response to the performance of a virtual peer, the behavior of which can be controlled by the experimenter. Experimental trials where the virtual peer behaves independent of the participant are used to calibrate the model. The model’s ability to predict participant performance is then verified in a closed-loop condition, where the behavior of the virtual peer is explicitly dependant on the performance of the participant. We foresee this model being a useful tool in the design of web-based citizen science projects, where the behavior of a virtual peer can be used to modulate the performance of contributors in an effort to increase overall levels of contribution.

Copyright © 2016 by ASME
Topics: Design



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