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

Sunyoung Kim, Jennifer Mankoff, Eric Paulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

102 Scopus citations

Abstract

Across HCI and social computing platforms, mobile applications that support citizen science, empowering nonexperts 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.

Original languageEnglish (US)
Title of host publicationCSCW 2013 - Proceedings of the 2013 ACM Conference on Computer Supported Cooperative Work
Pages1453-1462
Number of pages10
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 2nd ACM Conference on Computer Supported Cooperative Work, CSCW 2013 - San Antonio, TX, United States
Duration: Feb 23 2013Feb 27 2013

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

Other2013 2nd ACM Conference on Computer Supported Cooperative Work, CSCW 2013
Country/TerritoryUnited States
CitySan Antonio, TX
Period2/23/132/27/13

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

Keywords

  • Citizen science
  • Mobile applications
  • Sustainability

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