"I Came Across a Junk": Understanding Design Flaws of Data Visualization from the Public's Perspective

July 16, 2024 Β· Declared Dead Β· πŸ› IEEE Transactions on Visualization and Computer Graphics

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Authors Xingyu Lan, Yu Liu arXiv ID 2407.11497 Category cs.HC: Human-Computer Interaction Cross-listed cs.GR Citations 14 Venue IEEE Transactions on Visualization and Computer Graphics Last Checked 4 months ago
Abstract
The visualization community has a rich history of reflecting upon flaws of visualization design, and research in this direction has remained lively until now. However, three main gaps still exist. First, most existing work characterizes design flaws from the perspective of researchers rather than the perspective of general users. Second, little work has been done to infer why these design flaws occur. Third, due to problems such as unclear terminology and ambiguous research scope, a better framework that systematically outlines various design flaws and helps distinguish different types of flaws is desired. To address the above gaps, this work investigated visualization design flaws through the lens of the public, constructed a framework to summarize and categorize the identified flaws, and explored why these flaws occur.
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