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Designing for Ambiguity in Visual Analytics: Lessons from Risk Assessment and Prediction
IEEE Transactions on Visualization and Computer Graphics
|October 23, 2023
Summary
Visual analytics tools need to embrace ambiguity in risk assessment. New designs can better support sensemaking by encouraging reflection and alternative interpretations.
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.
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