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    Visual analytics tools need to embrace ambiguity in risk assessment. New designs can better support sensemaking by encouraging reflection and alternative interpretations.

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    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Risk Analysis

    Background:

    • Ambiguity is common in risk assessment and prediction.
    • Limited research exists on designing visual analytics tools for ambiguity.

    Purpose of the Study:

    • Investigate how visual analytics designs and data tables support sensemaking in avalanche forecasting.
    • Identify design implications for visual analytics tools that accommodate ambiguity.

    Main Methods:

    • Qualitative study using a conceptual framework of sensemaking processes.
    • Comparison of new visual analytics designs with existing tools (data tables).

    Main Results:

    • Both systems produced similar analytic outcomes.
    • Observed differences in ambiguous sensemaking and afforded analytic actions.
    • Identified "gisting" as a key, unexplored analytic action.

    Conclusions:

    • Conventional visualization design guidance needs revision.
    • Data interfaces should encourage reflection and alternative interpretations.
    • Visual analytics tools must support the ambiguous nature of risk assessment sensemaking.