What is it about?
This paper investigates if by providing a story (e.g. simple semantics or a narrative) behind the data can help people understand the data more effectively. It also compares different type of narratives (e.e., make a judgment vs decision).
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Why is it important?
Experimental studies often involve a simulation scenario in their instructions. So it is important to understand whether certain scenarios can harm accuracy.
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This page is a summary of: Narratives in Crowdsourced Evaluation of Visualizations, May 2017, ACM (Association for Computing Machinery),
DOI: 10.1145/3025453.3025870.
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