Collaborative Visualization for Supporting the Analysis of Mobile Device Data
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Visualizations are mainly used for providing easy access to complex information and data. Within this paper we focus on how visualization itself can serve as a collaborative aspect within distributed and asynchronous team work. In doing so, we try to uncover challenges to support a team of researchers in understanding and analyzing mobile data by collaborative visualization. Based on a review of recent literature, two workshops with participants from the academic field were conducted, which revealed use cases and major design challenges for a collaborative visualization approach. With our user-centered study, we introduce design implications for collaborative visualizations that focus on research questions instead on single visualizations, embed multiple visualizations into a discussion thread, highlight relations between research artefacts as well as include external parties in collaborative visualizations.
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Number of citations to item: 3
- Thomas Ludwig, Kevin Schneider, Volkmar Pipek (2017): An Integration of Empirical Study Participants into the Mobile Data Analysis Through Information Visualization, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-58735-6_11
- Thomas Ludwig, Christian Reuter, Volkmar Pipek (2016): From Publics to Communities: Researching the Path of Shared Issues Through ICT, In: Computer Supported Cooperative Work (CSCW) 2-3(25), doi:10.1007/s10606-016-9252-y
- Tshering Dema, Margot Brereton, Jessica L. Cappadonna, Paul Roe, Anthony Truskinger, Jinglan Zhang (2017): Collaborative Exploration and Sensemaking of Big Environmental Sound Data, In: Computer Supported Cooperative Work (CSCW) 4-6(26), doi:10.1007/s10606-017-9286-9