Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults

要旨

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.

著者
Mengzhu (Katie) Chen
Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Isabella Pedraza Pineros
M.I.T., Cambridge, Massachusetts, United States
Arvind Satyanarayan
MIT, Cambridge, Massachusetts, United States
Jonathan Zong
Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
DOI

10.1145/3706598.3714132

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714132

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Sensing and Haptics

Annex Hall F204
7 件の発表
2025-04-30 18:00:00
2025-04-30 19:30:00
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