Comprehension of Sonified Weather Data Across Multiple Auditory Streams
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Abstract
Weather data has been one of the mainstays in sonification research. It is readily available, and every listener has
presumably had some form of experience with meteorological
events to draw from. When we want to use this type of complex data in a scenario such as in a classroom, we need to be sure that listeners are able to correctly comprehend the intended information. The current study proposes a method for
evaluating the usability of complex sonifications that contain multiple data sets, especially for tasks that require inferences to
be made through comparisons across multiple data streams.
This extended abstract outlines a study that will address this issue by asking participants to listen to sonifications and then
respond with a description of general understanding about what variables changed, and how said changes would physically be represented by real weather conditions.
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2014-06
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This work is licensed under Creative Commons Attribution
– Non Commercial (unported, v3.0) License.