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dc.contributor.authorChen, Mengzhu (Katie)
dc.contributor.authorPedraza Pineros, Isabella
dc.contributor.authorSatyanarayan, Arvind
dc.contributor.authorZong, Jonathan
dc.date.accessioned2025-12-05T22:16:44Z
dc.date.available2025-12-05T22:16:44Z
dc.date.issued2025-04-25
dc.identifier.isbn979-8-4007-1394-1
dc.identifier.urihttps://hdl.handle.net/1721.1/164224
dc.descriptionCHI ’25, Yokohama, Japanen_US
dc.description.abstractTactile 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.en_US
dc.publisherACM|CHI Conference on Human Factors in Computing Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3706598.3714132en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleTactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaultsen_US
dc.typeArticleen_US
dc.identifier.citationMengzhu (Katie) Chen, Isabella Pedraza Pineros, Arvind Satyanarayan, and Jonathan Zong. 2025. Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 931, 1–23.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2025-08-01T08:14:53Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-08-01T08:14:54Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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