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June 13, 2026Computer Graphics ForumOpen Access

How Do LLMs See Charts? A Comparative Study on High‐Level Visualization Comprehension in Humans and LLMs

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Authors

HJHyun K. JeonHLHyunwook LeeMSMinjeong Shin

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Overview

Qualitative study compares high-level visualization comprehension in humans and LLMs, highlighting differences in interpretative strategies.

Key Points

  • This work aims to explore how Large Language Models and humans comprehend visualizations and identify gaps in understanding.
  • Qualitative study analyzing comprehension of line graphs, bar graphs, and scatterplots.
  • Investigated interpretative strategies and reasoning pathways of both humans and LLMs across three prompt conditions.
  • Identified high-level patterns generated by LLMs and compared them to human insights.
  • LLMs showed a consistent interpretative strategy across different prompt conditions.
  • Humans created trend-centric narratives, while LLMs focused on structural enumeration and numerical ranges.
  • LLMs' mechanisms of comprehension differed significantly from human intuition, indicating challenges and new design opportunities.

Cite This Study

Jeon et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf500faef96ed7f05727bhttps://doi.org/10.1111/cgf.70450
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