Nebula: A Coordinating Grammar of Graphics
| Autor: | Junxiu Tang, Yingcai Wu, Siwei Fu, Chen Jiahui, Xinhuan Shu, Di Weng, Chen Ran |
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| Rok vydání: | 2022 |
| Předmět: |
Grammar
business.industry Computer science media_common.quotation_subject Data transformation Usability Computer Graphics and Computer-Aided Design Cognitive dimensions of notations Data visualization Human–computer interaction Signal Processing Computer Vision and Pattern Recognition Graphics business Interactive visualization Software Natural language media_common |
| Zdroj: | IEEE Transactions on Visualization and Computer Graphics. 28:4127-4140 |
| ISSN: | 2160-9306 1077-2626 |
| Popis: | In multiple coordinated views (MCVs), visualizations across views update their content in response to users' interactions in other views. Interactive systems provide direct manipulation to create coordination between views, but are restricted to limited types of predefined templates. By contrast, textual specification languages enable flexible coordination but expose technical burden. To bridge the gap, we contribute Nebula, a grammar based on natural language for coordinating visualizations in MCVs. The grammar design is informed by a novel framework based on a systematic review of 176 coordinations from existing theories and applications, which describes coordination by demonstration, i.e., how coordination is performed by users. With the framework, Nebula specification formalizes coordination as a composition of user- and coordination-triggered interactions in origin and destination views, respectively, along with potential data transformation between the interactions. We evaluate Nebula by demonstrating its expressiveness with a gallery of diverse examples and analyzing its usability on cognitive dimensions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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