界面美因素对新闻网站界面视觉信息认知表现的影响

Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy Pub Date : 1900-01-01 DOI:10.54941/ahfe1002909

Dingwen Zhang

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引用次数: 0

摘要

目前，国内外对数字界面信息认知性能的研究较多，但在新闻网站界面环境下，界面美观因素对认知性能影响的研究相对较少。本研究选取界面美因素中的三个因素，即平衡因素、对称因素和密度因素作为本研究的变量，探讨界面美因素对新闻网站界面视觉信息认知表现的影响。研究分为两个部分:界面美系数计算和界面视觉信息认知性能实验。结果表明，这三个因素与视觉信息认知性能之间没有明显的线性关系，但界面平衡、界面对称、界面密度和平均反应时间的模型公式可以通过二次曲线拟合得到。研究结果对于指导设计者从提高信息认知性能的角度定量地设计和评价新闻网页界面具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The influence of interface beauty factors on the cognitive performance of news web interface visual information

At present, there are many researches on the cognitive performance of digital interface information at home and abroad, but there are relatively few researches on the influence of interface beauty factors on the performance in the news web interface environment. This study selects three factors of interface beauty factors, namely balance factor, symmetry factor and density factor, as the variables of this study, to explore the influence of interface beauty factors on the cognitive performance of news web interface visual information. The research is divided into two parts: interface beauty factor calculation and interface visual information cognitive performance experiment. The results show that there is no obvious linear relationship between the three factors and visual information cognitive performance, but the model formulas of interface balance, interface symmetry, interface density and average reaction time can be obtained by quadratic curve fitting. The results are of great significance to guide designers to design and evaluate the news web page interface in a quantitative way from the perspective of improving information cognitive performance.

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来源期刊

Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy

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