A Cognitive Mechanism–Driven Optimization Framework for Visual Communication Based on Visual Information Processing

DOI

10.2991/978-94-6239-737-8_23How to use a DOI?

Keywords

Visual communication; Visual attention; Cognitive load; Eye-tracking; Design optimization

Abstract

Visual communication aims to efficiently convey information by guiding user attention and reducing cognitive effort; however, existing design practices largely rely on subjective experience and lack systematic integration with visual information processing mechanisms. To address this gap, this study proposes a cognitive mechanism–driven optimization framework that links key cognitive processes, including visual attention, visual search, and cognitive load, to operable design variables such as saliency, visual hierarchy, information density, and text–image integration. A comparative experiment was conducted across infographic reading, poster information extraction, and interface guidance tasks, using eye-tracking metrics (e.g., Time to First Fixation and scanpath length), behavioral performance, and NASA-TLX scores for evaluation. The results show that the proposed framework significantly improves attention allocation, reduces cognitive load, and enhances task efficiency compared with baseline and single-strategy approaches, demonstrating its effectiveness as a measurable and empirically validated method for evidence-based visual communication design.

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.

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TY  - CONF
AU  - Xuejie Qin
AU  - Jinrui Li
AU  - Jiufang Mei
AU  - Ling Jin
PY  - 2026
DA  - 2026/08/18
TI  - A Cognitive Mechanism–Driven Optimization Framework for Visual Communication Based on Visual Information Processing
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 170
EP  - 176
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_23
DO  - 10.2991/978-94-6239-737-8_23
ID  - Qin2026
ER  -