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Related Experiment Video

Updated: Dec 3, 2025

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
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Guidelines For Pursuing and Revealing Data Abstractions.

Alex Bigelow, Katy Williams, Katherine E Isaacs

    IEEE Transactions on Visualization and Computer Graphics
    |October 30, 2020
    PubMed
    Summary

    Many data workers are unfamiliar with data abstraction types like networks. Our study reveals latent data abstractions and offers guidelines for visualization projects, promoting transparency and mitigating risks.

    Area of Science:

    • Data Visualization
    • Human-Computer Interaction
    • Information Science

    Background:

    • Many data abstraction types, such as networks and set relationships, are not widely understood by data workers outside of visualization research.
    • Understanding how data workers describe their data, both directly and indirectly, is crucial for effective visualization design.

    Purpose of the Study:

    • To investigate the existence and impact of latent data abstractions.
    • To understand data workers' perspectives on and resistance to exploring data abstractions.
    • To develop guidelines for data abstraction in visualization projects.

    Main Methods:

    • Conducted a survey and series of interviews with data workers.
    • Performed a Grounded Theory analysis of interview data.

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  • Developed guidelines based on identified themes and codes.

    • Main Results:

    • Latent data abstractions exist and have significant effects on data workers.
    • Identified reasons for and conditions under which data workers resist abstraction explorations.
    • Found that transparency about visualization research agendas can mitigate risks and leverage opportunities.

    Conclusions:

    • Guidelines for data abstraction in visualization projects were developed.
    • The study emphasizes the importance of understanding data workers' mental models.
    • An open dataset and visual interface are provided for further exploration and discussion.