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Related Experiment Videos

You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems.

Doris Jung-Lin Lee, John Lee, Tarique Siddiqui

    IEEE Transactions on Visualization and Computer Graphics
    |August 24, 2019
    PubMed
    Summary

    Visual query systems (VQSs) are not widely adopted because sketch-only querying is imprecise. Integrating sensemaking processes enhances VQS utility for diverse scientific data analysis.

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    Area of Science:

    • Data Visualization
    • Human-Computer Interaction
    • Scientific Data Analysis

    Background:

    • Visual Query Systems (VQSs) enable interactive searching of line charts using sketch-based interfaces.
    • Past VQS research has not translated to practical adoption, potentially due to unrealistic lab-based evaluations.
    • A gap exists in understanding how VQSs can be effectively integrated into real-world scientific workflows.

    Purpose of the Study:

    • To develop a VQS tailored to the analytical needs and workflows of experts in astronomy, genetics, and material science.
    • To evaluate the practical utility and usage patterns of VQSs in diverse scientific domains.
    • To identify essential sensemaking processes crucial for effective data exploration with VQSs.

    Main Methods:

    • A year-long user-centered design process involving experts from astronomy, genetics, and material science.

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  • Development of an enhanced VQS incorporating features beyond simple sketch-based querying.
  • Evaluation of VQS usage within the authentic analytical contexts of participating domain experts.

    • Main Results:

    • Ad-hoc sketch-only querying was found to be less common than anticipated, as analysts struggled to precisely articulate patterns.
    • Three essential sensemaking processes were characterized and observed to be utilized by participants.
    • The proportion of usage for each sensemaking process varied based on the specific analytical needs of each domain.

    Conclusions:

    • Future VQS development must move beyond basic sketch input to accommodate the complexities of scientific data analysis.
    • Integrating multiple sensemaking processes is critical for creating VQSs that are broadly useful across various analytical inquiries.
    • User-centered design and evaluation in real-world settings are essential for the practical adoption of VQS technology.