About this Corpus

This website is supplemental material for the publication "A Scoping Review of Human-Computer Interaction Research on the Accessibility of Data Visualizations: New Technologies, Procedures, and Designs". It contains the corpus of research papers coded in the review. Each entry includes the paper's title, authors, publication venue, keywords, and DOI for direct access.

How to use

Use the search bar on the corpus page to filter papers by title, author, venue, or keyword, and the "Search in" buttons to restrict your search to one field. Narrow by publication year, including the before-2021 and 2021-and-beyond split used in the review, and by topic tags for community, audience, modality, visualization type, and AI. Tags combine with "or" inside a group and "and" across groups. Selecting a tag on any paper applies the same filter.

Adding papers

Papers are stored in _data/papers.yml. Each entry follows this structure:

- id: 1
        title: "Paper Title"
        authors:
          - "Author One"
          - "Author Two"
        venue: "Conference/Journal Year"
        year: 2024
        keywords:
          - "keyword one"
          - "keyword two"
        doi: "10.xxxx/xxxxx"
      

Statistics

• 280 papers indexed
• Years covered: 1996 – 2026

Collection and Coding

To construct our corpus, we performed targeted keyword searches of the ACM, IEEE Xplore, Eurographics, Springer and Taylor & Francis digital libraries as well as searching the citations and references of our initial corpus.

Our inclusion criteria were:

1. Work that makes at least one of the seven recognized contribution types in HCI
2. The research must be on data visualization
3. The work must focus on people with disabilities or disability communities

We coded the resulting 280 papers with the following categories:

1. Publication Metadata, including title, year, venue, page length, DOI, and length of paper, coded as either full or short.
2. Types of Contributions, recorded across three columns: primary, secondary, and other stated contributions. We adopted the contribution categories from [267], including empirical, artifact, methodological, theoretical, benchmark/dataset, survey, and opinion.
3. Communities of Focus, captured in four columns: final-users-engaged (whether ultimate users were engaged, coded as Yes or No), primary, secondary, and additional communities.
4. Visualization-Specific Categories captured visualization type, interaction modality, interface design, and AI use.
5. Research Methods were recorded across three separate columns: primary, secondary, and other methods (for cases with more than two), as well as evaluation methods.

The full codebook is available for download by clicking the following download link: download codebook.

Contact

Please feel free to reach out if you see any issues (in the corpus, accessibility, or otherwise) at saadhassan@tulane.edu or rfaust1@tulane.edu.