A Survey of Perception-Based Visualization Studies by Task
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Abstract (arXiv)
Knowledge of human perception has long been incorporated into visualizations to enhance their quality and effectiveness. The last decade, in particular, has shown an increase in perception-based visualization research studies. With all of this recent progress, the visualization community lacks a comprehensive guide to contextualize their results. In this report, we provide a systematic and comprehensive review of research studies on perception related to visualization. This survey reviews perception-focused visualization studies since 1980 and summarizes their research developments focusing on low-level tasks, further breaking techniques down by visual encoding and visualization type. In particular, we focus on how perception is used to evaluate the effectiveness of visualizations, to help readers understand and apply the principles of perception of their visualization designs through a task-optimized approach. We concluded our report with a summary of the weaknesses and open research questions in the area.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Jul 2021.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 2.
4 papers.
- 2025EncQA: Benchmarking Vision-Language Models on Visual Encodings for Chartscited by 12
- 2025CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Modelscited by 5
- 2023HPSCAN: Human Perception-Based Scattered Data Clusteringcited by 2
- 2022Color Coding of Large Value Ranges Applied to Meteorological Datacited by 1
- 2025EncQA: Benchmarking Vision-Language Models on Visual Encodings for Charts6 Aug 2025
- 2025CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models22 May 2025
- 2023HPSCAN: Human Perception-Based Scattered Data Clustering27 Apr 2023
- 2022Color Coding of Large Value Ranges Applied to Meteorological Data13 Jul 2022