An Eye-Tracking-Based Evaluation Model for Information Visualization Design Effectiveness
- DOI
- 10.2991/978-94-6239-737-8_18How to use a DOI?
- Keywords
- Eye-tracking; Information visualization; Design evaluation; Visual attention; Visualization effectiveness index
- Abstract
This study proposes an eye-tracking-based model to assess information visualization effectiveness. By integrating eye movement metrics—First Fixation Duration (FFD), Total Fixation Duration (TFD), Scanpath Length, and Entropy—with task performance (Accuracy Rate), a composite index termed Visualization Effectiveness Index (VEI) is constructed. A controlled experiment with expert and novice users across multiple visualization types (tree diagrams, heatmaps, and Sankey diagrams) shows that the model effectively differentiates design approaches and provides insights into visual efficiency, cognitive load, and user comprehension. Compared with traditional subjective methods, it improves reliability and reproducibility and supports data-driven visualization design optimization.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Na Wang AU - Weiqian Mao AU - Shengnan Wu AU - Jiahui Wang PY - 2026 DA - 2026/08/18 TI - An Eye-Tracking-Based Evaluation Model for Information Visualization Design Effectiveness BT - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026) PB - Atlantis Press SP - 133 EP - 139 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6239-737-8_18 DO - 10.2991/978-94-6239-737-8_18 ID - Wang2026 ER -