Paper Info
Title
Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform
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, supported by two-to-four specific design claims each. For each, we propose a set of design claims (DCs), drawing comparisons to the literature on crowdsourcing and online communities to contextualise our findings.
Year
DOI
Venue
2015
10.1145/2702123.2702420
CHI
Keywords
Field
DocType
citizen science,crowdsourcing,interface design,miscellaneous
Computer science,Crowdsourcing,Job design,Generalization,Knowledge management,Community development,Human–computer interaction,Multi domain,Design team,Citizen science,Interface design
Conference
Citations 
PageRank 
References 
14
0.64
19
Authors
6
Name
Order
Citations
PageRank
Ramine Tinati114218.86
Max Van Kleek254258.95
Elena Simperl31069122.60
Markus Luczak-Rösch416722.68
Robert Simpson5422.38
Nigel Shadbolt64273321.53