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.
|Title of host publication||Proceeding CHI EA '13 CHI '13 Extended Abstracts on Human Factors in Computing Systems|
|Place of Publication||New York|
|Publisher||Association for Computing Machinery (ACM)|
|Number of pages||6|
|Publication status||Published - 27 Apr 2013|
- mobile phone
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