Normification: Using Crowdsourced Data to Affect Third-Party Change

Elaine Massung; Chris W Preist

doi:10.1145/2468356.2468615

Normification: Using Crowdsourced Data to Affect Third-Party Change

Elaine Massung, Chris W Preist

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

1 Citation (Scopus)

263 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 language	English
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)
Pages	1449-1454
Number of pages	6
ISBN (Electronic)	978-1-4503-1952-2
DOIs	https://doi.org/10.1145/2468356.2468615
Publication status	Published - 27 Apr 2013

Keywords

sustainability
crowdsourcing
mobile phone
norms

Access to Document

10.1145/2468356.2468615

Normification: Work-in-ProgressSubmitted manuscript, 271 KB

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Cite this

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Normification: Using Crowdsourced Data to Affect Third-Party Change. / Massung, Elaine; Preist, Chris W.

Proceeding CHI EA '13 CHI '13 Extended Abstracts on Human Factors in Computing Systems. New York : Association for Computing Machinery (ACM), 2013. p. 1449-1454.

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

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