19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Characterizing Visualization Insights from Quantified Selfers' Personal Data Presentations

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references13

          • Record: found
          • Abstract: not found
          • Conference Proceedings: not found

          Understanding quantified-selfers' practices in collecting and exploring personal data

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Show me: automatic presentation for visual analysis.

            This paper describes Show Me, an integrated set of user interface commands and defaults that incorporate automatic presentation into a commercial visual analysis system called Tableau. A key aspect of Tableau is VizQL, a language for specifying views, which is used by Show Me to extend automatic presentation to the generation of tables of views (commonly called small multiple displays). A key research issue for the commercial application of automatic presentation is the user experience, which must support the flow of visual analysis. User experience has not been the focus of previous research on automatic presentation. The Show Me user experience includes the automatic selection of mark types, a command to add a single field to a view, and a pair of commands to build views for multiple fields. Although the use of these defaults and commands is optional, user interface logs indicate that Show Me is used by commercial users.
              Bookmark
              • Record: found
              • Abstract: not found
              • Conference Proceedings: not found

              Personal tracking as lived informatics

                Bookmark

                Author and article information

                Journal
                IEEE Computer Graphics and Applications
                IEEE Comput. Grap. Appl.
                Institute of Electrical and Electronics Engineers (IEEE)
                0272-1716
                1558-1756
                July 2015
                July 2015
                : 35
                : 4
                : 28-37
                Article
                10.1109/MCG.2015.51
                f430f4b1-d324-47e7-8e49-24c731b4869e
                © 2015
                History

                Comments

                Comment on this article