文章摘要
吴琳,卢章平,李明珠.不同图标深度对认知绩效的影响研究[J].包装工程,2022,43(16):225-232.
不同图标深度对认知绩效的影响研究
Effects of Different Depth Icons on Cognitive Performance
  
DOI:10.19554/j.cnki.1001-3563.2022.16.025
中文关键词: 深度知觉  图标  认知绩效  视觉搜索  眼动追踪
英文关键词: depth perception  icon  cognitive performance  visual searching  eye tracking
基金项目:教育部人文社会科学研究青年基金(20YJC870008)
作者单位
吴琳 江苏大学江苏 镇江 212013 
卢章平 江苏大学江苏 镇江 212013 
李明珠 江苏大学江苏 镇江 212013 
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中文摘要:
      目的 分析人对图标深度在不同类型界面中认知资源的分配。方法 通过眼动追踪实验,获得在单一深度图标集和混合深度图标集中搜索3类深度图标时的行为反应数据指标,并在此基础上收集各深度主观满意度评价。结果 不同深度图标之间搜索质量具有显著差异。在单一深度图标集中,搜索目标的深度与视觉搜索效率呈负相关。在混合深度图标集中,中等深度图标的搜索效率最高,不同深度图标对认知负荷的影响没有显著差异。此外,收集被试对3类图标的主观评价,结果显示中等深度图标具有更高的主观满意度。结论 图形深度的刺激影响人对搜索策略的选择,除把握图标个体的设计元素特性外,需同时注重不同界面环境的影响。使用中等深度的图标,可增加图标的可识别性和差异性,在混合深度图标集中能提升视觉搜索质量,并提供更好的使用体验。
英文摘要:
      This paper aims to analyze the allocation of cognitive resources to icon depth in different types of interfaces. Through an eye movement tracking experiment, the behavioral response data indexes were obtained when searching for three kinds of depth icons in a single depth icon sets and a mixed depth icon sets, and the participants' subjective satisfaction evaluations of each depth were collected on this basis. It was found that there are significant differences in search quality between different depth icons. The depth of the search target was negatively correlated with the efficiency of visual search in a single depth icon sets. In the mixed depth icon sets, the search efficiency of medium depth target icon was the highest; There was no significant difference in terms of the effect of different depth icons on cognitive load; In addition, the participants' subjective evaluation results of the three types of icons showed that the medium depth icons have higher subjective satisfaction. Stimulants of graphic depth affect people's choice of search strategy. Grasping the characteristics of individual icon design elements is as important as, paying attention to the influence of different interface environments. Using icons of medium depth can increase the recognizability and differentiation of icons, improve the quality of visual search, and provide a better user experience in mixed depth icon sets.
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