Quantifying the Benefits of Artistic Methods in CFD Visualizations: A Pilot User Study
نویسنده
چکیده
Finding useful and accurate techniques for presenting many fields of vector and scalar data is essential for developing good CFD visualization techniques. Recent work borrows ideas from artists to produce such visualizations. In this paper we present the results of a study to determine which classes of CFD problems benefit most from novel artistic methods. We found that people were able to make more accurate quantative comparisons in artistically rendered images. People were also better able to describe relationships among more than 2 fields of data with the artistic images.
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