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Designing for citizen data analysis: a cross-sectional case study of a multi-domain citizen science platform

Record type: Article

Designing an effective and sustainable citizen science (CS)
project requires consideration of a great number of factors.
This makes the overall process unpredictable, even when a
sound, user-centred design approach is followed by an experienced
team of UX designers. Moreover, when such systems
are deployed, the complexity of the resulting interactions
challenges any attempt to generalisation from retrospective
analysis. In this paper, we present a case study of the
largest single platform of citizen driven data analysis projects
to date, the Zooniverse. By eliciting, through structured reflection,
experiences of core members of its design team, our
grounded analysis yielded four sets of themes, focusing on
Task Specificity, Community Development, Task Design and
Public Relations and Engagement. For each, we propose a
set of design claims (DCs), drawing comparisons to the literature
on crowdsourcing and online communities to contextualise
our findings.

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Citation

Tinati, Ramine, Van Kleek, Max, Simperl, E., Luczak-Rösch, Markus, Simpson, Robert and Shadbolt, Nigel (2015) Designing for citizen data analysis: a cross-sectional case study of a multi-domain citizen science platform ACM CHI Conference on Human Factors in Computing Systems 2014 (CHI2015), pp. 1-10.

More information

Accepted/In Press date: 17 April 2015
Keywords: citizen science, crowdsourcing, online communities
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 373560
URI: http://eprints.soton.ac.uk/id/eprint/373560
PURE UUID: 7eb9ed81-a408-4613-86f0-38736990c51f
ORCID for E. Simperl: ORCID iD orcid.org/0000-0003-1722-947X

Catalogue record

Date deposited: 22 Jan 2015 11:45
Last modified: 11 Aug 2017 08:40

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Contributors

Author: Ramine Tinati
Author: Max Van Kleek
Author: E. Simperl ORCID iD
Author: Markus Luczak-Rösch
Author: Robert Simpson
Author: Nigel Shadbolt

University divisions

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