Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866929740273680384 |
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| author | Chen, Mengzhu Katie Pineros, Isabella Pedraza Satyanarayan, Arvind Zong, Jonathan |
| author_facet | Chen, Mengzhu Katie Pineros, Isabella Pedraza Satyanarayan, Arvind Zong, Jonathan |
| contents | Tactile charts are essential for conveying data to blind and low vision (BLV) readers but are difficult for designers to construct. Non-expert designers face barriers to entry due to complex guidelines, while experts struggle with fragmented and time-consuming workflows that involve extensive customization. Inspired by formative interviews with expert tactile graphics designers, we created Tactile Vega-Lite (TVL): an extension of Vega-Lite that offers tactile-specific abstractions and synthesizes existing guidelines into a series of smart defaults. Predefined stylistic choices enable non-experts to produce guideline-compliant tactile charts quickly. Expert users can override defaults to tailor customizations for their intended audience. In a user study with 12 tactile graphics creators, we show that Tactile Vega-Lite enhances flexibility and consistency by automating tasks like adjusting spacing and translating braille while accelerating iterations through pre-defined textures and line styles. Through expert critique, we also learn more about tactile chart design best practices and design decisions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_00149 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults Chen, Mengzhu Katie Pineros, Isabella Pedraza Satyanarayan, Arvind Zong, Jonathan Human-Computer Interaction Tactile charts are essential for conveying data to blind and low vision (BLV) readers but are difficult for designers to construct. Non-expert designers face barriers to entry due to complex guidelines, while experts struggle with fragmented and time-consuming workflows that involve extensive customization. Inspired by formative interviews with expert tactile graphics designers, we created Tactile Vega-Lite (TVL): an extension of Vega-Lite that offers tactile-specific abstractions and synthesizes existing guidelines into a series of smart defaults. Predefined stylistic choices enable non-experts to produce guideline-compliant tactile charts quickly. Expert users can override defaults to tailor customizations for their intended audience. In a user study with 12 tactile graphics creators, we show that Tactile Vega-Lite enhances flexibility and consistency by automating tasks like adjusting spacing and translating braille while accelerating iterations through pre-defined textures and line styles. Through expert critique, we also learn more about tactile chart design best practices and design decisions. |
| title | Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2503.00149 |