Normification: Using Crowdsourced Data to Affect Third-Party Change

Elaine Massung, Chris W Preist

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
244 Downloads (Pure)

Abstract

Previous work has shown how smartphone applications can support community activism groups by enabling crowdsourced data collection. In this paper we theorize that the data collected by the app can then be used to bring about positive environmental behavior change by illustrating the adoption of new social norms, a process we term normification. We provide a theoretical framework for how this may be accomplished, both in general terms and specifically with examples from the Close the Door campaign.
Original languageEnglish
Title of host publicationProceeding CHI EA '13 CHI '13 Extended Abstracts on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages1449-1454
Number of pages6
ISBN (Electronic)978-1-4503-1952-2
DOIs
Publication statusPublished - 27 Apr 2013

Keywords

  • sustainability
  • crowdsourcing
  • mobile phone
  • norms

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  • Cite this

    Massung, E., & Preist, C. W. (2013). Normification: Using Crowdsourced Data to Affect Third-Party Change. In Proceeding CHI EA '13 CHI '13 Extended Abstracts on Human Factors in Computing Systems (pp. 1449-1454). Association for Computing Machinery (ACM). https://doi.org/10.1145/2468356.2468615