The Role of Metacognition in Understanding Deceptive Bar Charts

The cognitive processes involved in understanding and misunder-standing 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 de-scribes a simple method to measure the role of such metacognitive understanding when learning to read bar charts. For this pur-pose, 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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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/beliv64461.2024.00011
Citations
1
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
2.23
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article

The Role of Metacognition in Understanding Deceptive Bar Charts

Filip Sadlo, Jan Rummel, Peter Albers, Antonia Schlieder
1 citations
Artificial Intelligence in Law
2.23
article

The Role of Metacognition in Understanding Deceptive Bar Charts

Filip Sadlo, Jan Rummel, Peter Albers, Antonia Schlieder
article en
1 citations

Abstract

The cognitive processes involved in understanding and misunder-standing 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 de-scribes a simple method to measure the role of such metacognitive understanding when learning to read bar charts. For this pur-pose, 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.

Heidelberg University (DE), Heidelberg University (US)
Reduced inequalities
Openalex Percentile: Top 9%
Artificial Intelligence in Law
2.23
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