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Storytelling in data visualization: information bias

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摘要

Storytelling is shown as an effective approach to humanize information perception.However, its potential to build a biased view of the information contents is oftenneglected. Moreover, narrative understanding and emotion may interfere with datavisualization comprehension. In this research, we evaluated how users perceivedthe information in two different configurations: One with a report with graphs andnarrative side notes texts, and the second with a redesigned fully annotated content.The test compared the two groups in both qualitative and quantitative methods.The quantitative results were obtained by a survey and statistically analyzed with aT-Test. This indicated that the condescending storytelling approach augmented theperception of the effect signaled by the presented narrative. Also, the qualitativeresults collected afterward by interview and focus group have shown that, as thereaders of narrative models perceived a higher intensity of the effect, they havealso expected an even higher result from the selected data. The final analysis of theexperiment helped to indicate that ordering, highlights, and semantics have a strongrole in how the narrative influences the perception of the reader.

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