Sensr: evaluating a flexible framework for authoring mobile data-collection tools for citizen science

  • Authors:
  • Sunyoung Kim;Jennifer Mankoff;Eric Paulos

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;HCII, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;University of California, Berkeley, Berkeley, California, USA

  • Venue:
  • Proceedings of the 2013 conference on Computer supported cooperative work
  • Year:
  • 2013

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Abstract

Across HCI and social computing platforms, mobile applications that support citizen science, empowering non-experts to explore, collect, and share data have emerged. While many of these efforts have been successful, it remains difficult to create citizen science applications without extensive programming expertise. To address this concern, we present Sensr, an authoring environment that enables people without programming skills to build mobile data collection and management tools for citizen science. We demonstrate how Sensr allows people without technical skills to create mobile applications. Findings from our case study demonstrate that our system successfully overcomes technical constraints and provides a simple way to create mobile data collection tools.