DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917570702999552 |
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| author | Vaithilingam, Priyan Glassman, Elena L. Inala, Jeevana Priya Wang, Chenglong |
| author_facet | Vaithilingam, Priyan Glassman, Elena L. Inala, Jeevana Priya Wang, Chenglong |
| contents | Users often rely on GUIs to edit and interact with visualizations - a daunting task due to the large space of editing options. As a result, users are either overwhelmed by a complex UI or constrained by a custom UI with a tailored, fixed subset of options with limited editing flexibility. Natural Language Interfaces (NLIs) are emerging as a feasible alternative for users to specify edits. However, NLIs forgo the advantages of traditional GUI: the ability to explore and repeat edits and see instant visual feedback.
We introduce DynaVis, which blends natural language and dynamically synthesized UI widgets. As the user describes an editing task in natural language, DynaVis performs the edit and synthesizes a persistent widget that the user can interact with to make further modifications. Study participants (n=24) preferred DynaVis over the NLI-only interface citing ease of further edits and editing confidence due to immediate visual feedback. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_10880 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing Vaithilingam, Priyan Glassman, Elena L. Inala, Jeevana Priya Wang, Chenglong Human-Computer Interaction Users often rely on GUIs to edit and interact with visualizations - a daunting task due to the large space of editing options. As a result, users are either overwhelmed by a complex UI or constrained by a custom UI with a tailored, fixed subset of options with limited editing flexibility. Natural Language Interfaces (NLIs) are emerging as a feasible alternative for users to specify edits. However, NLIs forgo the advantages of traditional GUI: the ability to explore and repeat edits and see instant visual feedback. We introduce DynaVis, which blends natural language and dynamically synthesized UI widgets. As the user describes an editing task in natural language, DynaVis performs the edit and synthesizes a persistent widget that the user can interact with to make further modifications. Study participants (n=24) preferred DynaVis over the NLI-only interface citing ease of further edits and editing confidence due to immediate visual feedback. |
| title | DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2401.10880 |