From Delays to Densities: Exploring Data Uncertainty through Speech, Text, and Visualization
Understanding and communicating data uncertainty is crucial for making informed decisions in sectors like finance and healthcare. Previous work has explored how to express uncertainty in various modes. For example, uncertainty can be expressed visually with quantile dot plots or linguistically with...
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Zusammenfassung: | Understanding and communicating data uncertainty is crucial for making
informed decisions in sectors like finance and healthcare. Previous work has
explored how to express uncertainty in various modes. For example, uncertainty
can be expressed visually with quantile dot plots or linguistically with hedge
words and prosody. Our research aims to systematically explore how variations
within each mode contribute to communicating uncertainty to the user; this
allows us to better understand each mode's affordances and limitations. We
completed an exploration of the uncertainty design space based on pilot studies
and ran two crowdsourced experiments examining how speech, text, and
visualization modes and variants within them impact decision-making with
uncertain data. Visualization and text were most effective for rational
decision-making, though text resulted in lower confidence. Speech garnered the
highest trust despite sometimes leading to risky decisions. Results from these
studies indicate meaningful trade-offs among modes of information and encourage
exploration of multimodal data representations. |
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DOI: | 10.48550/arxiv.2404.02317 |