Title :
Motivation and Data Quality in a Citizen Science Game: A Design Science Evaluation
Author :
Crowston, K. ; Prestopnik, N.R.
Abstract :
Citizen science is a form of social computation where members of the public are recruited to contribute to scientific investigations. Citizen-science projects often use web-based systems to support collaborative scientific activities. However, finding ways to attract participants and ensure the accuracy of the data they produce are key issues in making such systems successful. In this paper we describe the design and preliminary evaluation of a simple game that addresses these two concerns for the task of species identification.
Keywords :
Internet; groupware; social sciences computing; Web-based systems; citizen science game; citizen-science projects; collaborative scientific activities; data quality; design science evaluation; scientific investigations; social computation; species identification; Accuracy; Birds; Context; Games; Human computer interaction; Image color analysis; Shape; citizen science; data quality; motivation;
Conference_Titel :
System Sciences (HICSS), 2013 46th Hawaii International Conference on
Conference_Location :
Wailea, Maui, HI
Print_ISBN :
978-1-4673-5933-7
Electronic_ISBN :
1530-1605
DOI :
10.1109/HICSS.2013.413