The proposed research will close a gap in the visualization literature by producing a set of new visualizations that appropriately communicate and integrate the uncertainty information in continually-updating probabilistic models. Unlike previous in-lab studies, this research will establish long-lasting ecological validity with users from different backgrounds through the longitudinal study conducted in the real world. It will uncover principles for how to design continually-updating uncertainty visualizations that engender trust and improve decision quality. It will enrich knowledge of users’ decision processes and advance understanding of how people perceive probability and uncertainty over time.
|Effective start/end date||1/1/22 → 12/31/23|
- Computing Research Association, Inc. (2021CIF-Northwestern-45//2127309)
- National Science Foundation (2021CIF-Northwestern-45//2127309)
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