Designing a {{Classification}} for {{User}}-Authored {{Annotations}} in {{Data Visualization}}
| Type of publication: | Inproceedings |
| Citation: | vanhulst_designing_2018-1 |
| Year: | 2018 |
| Month: | January |
| Pages: | 85-96 |
| DOI: | 10.5220/0006613700850096 |
| Abstract: | This article introduces a classification system for user-authored annotations in the domain of data visualization. The classification system was created with a bottom-up approach, starting from actual user- authored annotations. To devise relevant dimensions for this classification, we designed a data analysis web platform displaying four visualizations of a common dataset. Using this tool, 16 analysts recorded over 300 annotations that were used to design a classification system. That classification system was then iteratively evaluated and refined until a high inter-coder agreement was found. Use cases for such a classification includes assessing the expressiveness of visualizations on a common ground, based on the types of annotations that are produced with each visualization. |
| Keywords: | |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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