Mixing Modes: Active and Passive Integration of Speech, Text, and Visualization for Communicating Data Uncertainty
CoRR(2024)
摘要
Interpreting uncertain data can be difficult, particularly if the data
presentation is complex. We investigate the efficacy of different modalities
for representing data and how to combine the strengths of each modality to
facilitate the communication of data uncertainty. We implemented two multimodal
prototypes to explore the design space of integrating speech, text, and
visualization elements. A preliminary evaluation with 20 participants from
academic and industry communities demonstrates that there exists no
one-size-fits-all approach for uncertainty communication strategies; rather,
the effectiveness of conveying uncertain data is intertwined with user
preferences and situational context, necessitating a more refined, multimodal
strategy for future interface design.
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