Participatory Data Analytics: Collaborative interfaces for data composition and visualisation

Filonik, Daniel, Rittenbruch, Markus, & Foth, Marcus (2014) Participatory Data Analytics: Collaborative interfaces for data composition and visualisation. In Huang, Tony (Ed.) Proceedings of the 7th International Symposium on Visual Information Communication and Interaction, Association for Computing Machinery (ACM), Sydney, Australia, pp. 248-249.

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This research proposes the development of interfaces to support collaborative, community-driven inquiry into data, which we refer to as Participatory Data Analytics. Since the investigation is led by local communities, it is not possible to anticipate which data will be relevant and what questions are going to be asked. Therefore, users have to be able to construct and tailor visualisations to their own needs. The poster presents early work towards defining a suitable compositional model, which will allow users to mix, match, and manipulate data sets to obtain visual representations with little-to-no programming knowledge. Following a user-centred design process, we are subsequently planning to identify appropriate interaction techniques and metaphors for generating such visual specifications on wall-sized, multi-touch displays.

Impact and interest:

1 citations in Scopus
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ID Code: 74105
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: co-located collaboration, composition algebra, data visualisation, visual analysis, visualisation formalism
DOI: 10.1145/2636240.2636873
ISBN: 9781450327657
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Computer-Human Interaction (080602)
Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > DESIGN PRACTICE AND MANAGEMENT (120300) > Digital and Interaction Design (120304)
Divisions: Current > Schools > School of Design
Current > QUT Faculties and Divisions > Creative Industries Faculty
Current > Institutes > Institute for Future Environments
Copyright Owner: Copyright 2014 The authors
Deposited On: 18 Jul 2014 00:24
Last Modified: 22 Oct 2016 19:30

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