首页|期刊导航|南京理工大学学报(自然科学版)|数字孪生系统中呈现特征对中央-周边视觉整合效益的影响

数字孪生系统中呈现特征对中央-周边视觉整合效益的影响OA

Effects of presentation features on central-peripheral visual integration benefits in digital twin systems

中文摘要英文摘要

针对数字孪生系统中信息识别效率低的问题,基于中央与周边视觉功能差异,采用Window/Scotoma 范式,以光伏组件串焊系统为场景,通过 2(视觉条件)×3(模块类型)×3(闪烁频率)的被试内设计,探究信息呈现特征对视觉整合效益的影响.研究结果表明,中央-周边视觉整合条件以牺牲 2.34%决策正确率、447.9%定位精度及增加 575.3%扫视次数为代价显著提升了 26.24%反应速度与 15.01%扫视路径效率.数据表单模块(M2)综合性能最优,三维模型模块(M3)空间定位命中率最高(70.72%),且在分离与整合条件下偏差角度均最小(2.11°、7.34°).1 Hz 与 3 Hz 的动态闪烁分别使反应时缩短 3.05%、3.24%.构建的多维度整合效益模型计算出 M2 模块与1 Hz 的组合为最优呈现特征,为数字孪生系统信息呈现设计提供量化优化依据.

To address the low efficiency of information recognition in digital twin systems,based on the functional differences between central and peripheral vision,this study uses the Window/Scotoma paradigm and a 2(visual condition)×3(module type)×3(flicker frequency)within-subject design in a photovoltaic module string welding system scenario to explore how information presentation features influence visual integration benefits.Research results show that central-peripheral visual integration conditions significantly improve response speed by 26.24%and saccade path efficiency by 15.01%,at the cost of a 2.34%decrease in decision accuracy,a 447.9%reduction in positioning precision,and a 575.3%increase in saccade frequency.The data table module(M2)exhibits the best comprehensive performance,while the 3D model module(M3)achieves the highest spatial positioning hit rate(70.72%)and the smallest deviation angles under both separation(2.11°)and integration(7.34°)conditions.Dynamic flickers at 1 Hz and 3 Hz shorten response time by 3.05%and 3.24%,respectively.A multi-dimensional integration benefit model is constructed to identify the optimal presentation feature of M2 module with 1 Hz flicker,providing quantitative optimization basis for information presentation design in digital twin systems.

瞿敏;吴晓莉;徐艳琪;江晓曼;魏仁杰

南京理工大学设计艺术与传媒学院,江苏 南京 210094||南京理工大学语言信息智能处理及应用工信部重点实验室,江苏 南京 210094南京理工大学设计艺术与传媒学院,江苏 南京 210094||南京理工大学语言信息智能处理及应用工信部重点实验室,江苏 南京 210094南京理工大学设计艺术与传媒学院,江苏 南京 210094||南京理工大学语言信息智能处理及应用工信部重点实验室,江苏 南京 210094南京理工大学设计艺术与传媒学院,江苏 南京 210094||南京理工大学语言信息智能处理及应用工信部重点实验室,江苏 南京 210094南京理工大学设计艺术与传媒学院,江苏 南京 210094||南京理工大学语言信息智能处理及应用工信部重点实验室,江苏 南京 210094

信息技术与安全科学

中央视觉周边视觉模块类型闪烁频率整合效益模型

central visionperipheral visionmodule typeflicker frequencyintegration benefit model

《南京理工大学学报(自然科学版)》 2026 (2)

206-219,14

国家自然科学基金(52175469)江苏省自然科学基金(BK20221490)

10.14177/j.cnki.32-1397n.2026.50.02.010

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