TY - GEN
T1 - A model for citizen scientist contribution in an image tagging task
AU - Laut, Jeffrey
AU - Cappa, Francesco
AU - Nov, Oded
AU - Porfiri, Maurizio
N1 - Funding Information:
The authors gratefully acknowledge Ms. S. Rao and Mr. S. Manjunath for the software implementation, and Dr. R. P. Anderson and Mr. V. Mwaffo for useful discussions. This work was supported by the National Science Foundation under grant nos. BCS-1124795, IIS-1149745, and CBET-1547864.
Publisher Copyright:
Copyright © 2016 by ASME.
PY - 2016
Y1 - 2016
N2 - ACitizen science projects are becoming increasingly popular, yet they typically rely on only a small portion of users for the ma- jority of contribution. In this paper, we propose a model for cit- izen scientist contribution in an online image tagging task. The model describes participant contribution in response to the per- formance of a virtual peer, the behavior of which can be con- trolled by the experimenter. Experimental trials where the vir- tual peer behaves independent of the participant are used to cal- ibrate the model. The model's ability to predict participant per- formance is then verified in a closed-loop condition, where the behavior of the virtual peer is explicitly dependant on the perfor- mance 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 per- formance of contributors in an effort to increase overall levels of contribution.
AB - ACitizen science projects are becoming increasingly popular, yet they typically rely on only a small portion of users for the ma- jority of contribution. In this paper, we propose a model for cit- izen scientist contribution in an online image tagging task. The model describes participant contribution in response to the per- formance of a virtual peer, the behavior of which can be con- trolled by the experimenter. Experimental trials where the vir- tual peer behaves independent of the participant are used to cal- ibrate the model. The model's ability to predict participant per- formance is then verified in a closed-loop condition, where the behavior of the virtual peer is explicitly dependant on the perfor- mance 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 per- formance of contributors in an effort to increase overall levels of contribution.
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U2 - 10.1115/DSCC2016-9686
DO - 10.1115/DSCC2016-9686
M3 - Conference contribution
AN - SCOPUS:85015899783
T3 - ASME 2016 Dynamic Systems and Control Conference, DSCC 2016
BT - 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
PB - American Society of Mechanical Engineers
T2 - ASME 2016 Dynamic Systems and Control Conference, DSCC 2016
Y2 - 12 October 2016 through 14 October 2016
ER -