A. Schlieder,
J. Rummel,
P. Albers,
F. Sadlo:
In 2024 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV),
2024.
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Abstract
The cognitive processes involved in understanding and misunderstanding visualizations have not yet been fully clarified, even for well-studied designs, such as bar charts. In particular, little is known about whether viewers can improve their learning processes by getting better insight into their own cognition. This paper describes a simple method to measure the role of such metacognitive understanding when learning to read bar charts. For this purpose, we conducted an experiment in which we investigated bar chart learning repeatedly, and tested how learning over trials was effected by metacognitive understanding. We integrate the findings into a model of metacognitive processing of visualizations, and discuss implications for the design of visualizations.
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Available Files
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[PDF]
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