A Comparative Study of Table Sized Physicalization and Digital Visualization
Yanxin Wang, Yihan Liu, Lingyun Yu, Chengtao Ji, Yu Liu

TL;DR
This study compares large physical and digital visualizations of data, finding that physical models improve initial understanding, long-term memory, and usability, informing future visualization choices in education and public displays.
Contribution
It provides the first empirical comparison of physical versus digital large-scale visualizations, highlighting physicalization's advantages in comprehension and retention.
Findings
Physicalization enhances initial understanding.
Physical models improve long-term memory retention.
User feedback favors physical visualization.
Abstract
Data physicalization is gaining popularity in public and educational contexts due to its potential to make abstract data more tangible and understandable. Despite its growing use, there remains a significant gap in our understanding of how large-size physical visualizations compare to their digital counterparts in terms of user comprehension and memory retention. This study aims to bridge this knowledge gap by comparing the effectiveness of visualizing school building history data on large digital screens versus large physical models. Our experimental approach involved 32 participants who were exposed to one of the visualization mediums. We assessed their user experience and immediate understanding of the content, measured through tests after exposure, and evaluated memory retention with follow-up tests seven days later. The results revealed notable differences between the two forms of…
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Taxonomy
TopicsData Visualization and Analytics · Augmented Reality Applications · Multimedia Communication and Technology
