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    Information visualization (infovis) can be better adapted for humanities research. A new framework, Layers of Meaning, grounds visualizations in context to reduce the gap between researchers and their data.

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    Area of Science:

    • Digital Humanities
    • Information Visualization

    Background:

    • Traditional information visualization (infovis) approaches are often ill-suited for the complex, qualitative data found in humanities research.
    • This mismatch leads to low adoption of infovis tools within the humanities.

    Purpose of the Study:

    • To investigate the relationship between information visualization and humanities research.
    • To propose a new framework for developing more effective infovis tools for humanist scholars.

    Main Methods:

    • A humanistic analysis of existing infovis literature.
    • A co-design workshop involving humanities and infovis experts.
    • Development of design guidelines and a critique exercise to assess their impact.

    Main Results:

    • Identified key factors contributing to the disconnect between infovis and humanities.
    • Developed the 'Layers of Meaning' framework.
    • Demonstrated the framework's potential to improve the perception and usability of infovis for humanist researchers.

    Conclusions:

    • The 'Layers of Meaning' framework bridges the semantic gap by incorporating context such as time, space, physicality, terminology, nuance, and provenance.
    • This approach enhances the relevance and effectiveness of information visualization for qualitative, domain-specific research in the humanities.