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


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. (doi:10.1145/2702123.2702420).

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Description/Abstract

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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1145/2702123.2702420
Keywords: citizen science, crowdsourcing, online communities
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Organisations: Web & Internet Science
ePrint ID: 373560
Date :
Date Event
17 April 2015Accepted/In Press
Date Deposited: 22 Jan 2015 11:45
Last Modified: 17 Apr 2017 06:49
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/373560

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