Purposeful gaming & socio-computational systems: a citizen science design case

  • Authors:
  • Nathan Prestopnik;Kevin Crowston

  • Affiliations:
  • Syracuse University, Syracuse, NY, USA;Syracuse University, Syracuse, NY, USA

  • Venue:
  • Proceedings of the 17th ACM international conference on Supporting group work
  • Year:
  • 2012

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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, making them a form of computer-supported cooperative work. However, finding ways to attract participants and confirm the veracity of the data they produce are key issues in making such systems successful. We describe a series of web-based tools and games currently under development to support taxonomic classification of organisms in photographs collected by citizen-science projects. In the design science tradition, the systems are purpose-built to test hypotheses about participant motivation and techniques for ensuring data quality. Findings from preliminary evaluation and the design process itself are discussed.