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 reserach 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 any combination of title, author, venue, or keyword. Use the filter pills to restrict your search to a specific field.

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, bench- mark/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 commu- nities.
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 avaliable for download by clicking the following download link: download codebook.