Characterizing Multimodal Interaction in Visualization Authoring Tools
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866912581608800256 |
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| author | Brandt, Astrid van den L'Yi, Sehi Nguyen, Huyen N. Vilanova, Anna Gehlenborg, Nils |
| author_facet | Brandt, Astrid van den L'Yi, Sehi Nguyen, Huyen N. Vilanova, Anna Gehlenborg, Nils |
| contents | Multimodal interaction has been increasingly considered in designing visualization authoring tools. However, multimodal interaction has a broad meaning in visualization authoring, according to our literature review. Although some previous studies compare different authoring tools, a comprehensive overview of the diverse characteristics of multimodal interaction in visualization authoring tools is still missing. This paper seeks to offer a systematic perspective on how multimodal interaction is integrated within visualization authoring tools. Such an overview can enhance understanding of current practices, highlight distinguishing features among tools, and help identify future research directions, guiding designers in developing more accessible and effective authoring systems. We review 20 visualization authoring tools that incorporate multimodal interaction and characterize how multimodal interaction is applied in these tools. Based on the review results, we discuss design implications and future directions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_08953 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Characterizing Multimodal Interaction in Visualization Authoring Tools Brandt, Astrid van den L'Yi, Sehi Nguyen, Huyen N. Vilanova, Anna Gehlenborg, Nils Human-Computer Interaction Multimodal interaction has been increasingly considered in designing visualization authoring tools. However, multimodal interaction has a broad meaning in visualization authoring, according to our literature review. Although some previous studies compare different authoring tools, a comprehensive overview of the diverse characteristics of multimodal interaction in visualization authoring tools is still missing. This paper seeks to offer a systematic perspective on how multimodal interaction is integrated within visualization authoring tools. Such an overview can enhance understanding of current practices, highlight distinguishing features among tools, and help identify future research directions, guiding designers in developing more accessible and effective authoring systems. We review 20 visualization authoring tools that incorporate multimodal interaction and characterize how multimodal interaction is applied in these tools. Based on the review results, we discuss design implications and future directions. |
| title | Characterizing Multimodal Interaction in Visualization Authoring Tools |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2509.08953 |