Mobile Computing, Applications, and Services. 5th International Conference, MobiCASE 2013, Paris, France, November 7-8, 2013, Revised Selected Papers

Research Article

Lowering the Barrier for Crowdsensing Application Development

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  • @INPROCEEDINGS{10.1007/978-3-319-05452-0_1,
        author={Scott Heggen and Amul Adagale and Jamie Payton},
        title={Lowering the Barrier for Crowdsensing Application Development},
        proceedings={Mobile Computing, Applications, and Services. 5th International Conference, MobiCASE 2013, Paris, France, November 7-8, 2013, Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2014},
        month={6},
        keywords={crowdsensing participatory sensing mobile phone sensing end-user programming},
        doi={10.1007/978-3-319-05452-0_1}
    }
    
  • Scott Heggen
    Amul Adagale
    Jamie Payton
    Year: 2014
    Lowering the Barrier for Crowdsensing Application Development
    MOBICASE
    Springer
    DOI: 10.1007/978-3-319-05452-0_1
Scott Heggen1,*, Amul Adagale1,*, Jamie Payton1,*
  • 1: The University of North Carolina at Charlotte
*Contact email: sheggen@uncc.edu, aadagale@uncc.edu, payton@uncc.edu

Abstract

Crowdsensing has the potential to support human-driven sensing and data collection at an unprecedented scale. While many organizers of data collection campaigns may have extensive domain knowledge, they do not necessarily have the skills required to develop robust software for crowdsensing. In this paper, we present Mobile Campaign Designer, a tool that simplifies the creation of mobile crowdsensing applications. Using Mobile Campaign Designer, an organizer is able to define parameters about their crowdsensing campaign, and the tool generates the source code and an executable for a tailored mobile application that embodies the current best practices in crowdsensing. An evaluation of the tool shows that users at all levels of technical expertise are capable of creating a crowdsensing application in an average of five minutes, and the generated applications are comparable in quality to existing crowdsensing applications.