Intents, Techniques, and Components: a Unified Analysis of Interaction Authoring Tasks in Data Visualization
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866917112737431552 |
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| author | Song, Hyemi Gopinath, Sai Liu, Zhicheng |
| author_facet | Song, Hyemi Gopinath, Sai Liu, Zhicheng |
| contents | There is a growing interest in designing tools to support interactivity specification and authoring in data visualization. To develop expressive and flexible tools, we need theories and models that describe the task space of interaction authoring. Although multiple taxonomies and frameworks exist for interactive visualization, they primarily focus on how visualizations are used, not how interactivity is composed. To fill this gap, we conduct an analysis of 592 interaction units from 47 real-world visualization applications. Based on the analysis, we present a unified analysis of interaction authoring tasks across three levels of description: intents, representative techniques, and low-level implementation components. We examine our framework's descriptive, evaluative, and generative powers for critiquing existing interactivity authoring tools and informing new tool development. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_01399 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Intents, Techniques, and Components: a Unified Analysis of Interaction Authoring Tasks in Data Visualization Song, Hyemi Gopinath, Sai Liu, Zhicheng Human-Computer Interaction There is a growing interest in designing tools to support interactivity specification and authoring in data visualization. To develop expressive and flexible tools, we need theories and models that describe the task space of interaction authoring. Although multiple taxonomies and frameworks exist for interactive visualization, they primarily focus on how visualizations are used, not how interactivity is composed. To fill this gap, we conduct an analysis of 592 interaction units from 47 real-world visualization applications. Based on the analysis, we present a unified analysis of interaction authoring tasks across three levels of description: intents, representative techniques, and low-level implementation components. We examine our framework's descriptive, evaluative, and generative powers for critiquing existing interactivity authoring tools and informing new tool development. |
| title | Intents, Techniques, and Components: a Unified Analysis of Interaction Authoring Tasks in Data Visualization |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2409.01399 |