• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Behavior Research Methods, Instruments & Computers >Measuring icon complexity: An automated analysis
【24h】

Measuring icon complexity: An automated analysis

机译：测量图标的复杂度：自动化分析

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Measures of icon designs rely heavily on surveys of the perceptions of population samples. Thus, measuring the extent to which changes in the structure of an icon will alter its perceived complexity can be costly and slow. An automated system capable of producing reliable estimates of perceived complexity could reduce development costs and time. Measures of icon complexity developed by Garcia, Badre, and Stasko (1994) and McDougall, Curry, and de Bruijn (1999) were correlated with six icon properties measured using Matlab (MathWorks, 2001) software, which uses image-processing techniques to measure icon properties. The six icon properties measured were icon foreground, the number of objects in an icon, the number of holes in those objects, and two calculations of icon edges and homogeneity in icon structure. The strongest correlates with human judgments of perceived icon complexity (McDougall et al., 1999) were structural variability (r_s = .65) and edge information (r_s = .64).
机译：图标设计的度量在很大程度上取决于对人口样本感知的调查。因此，测量图标结构的改变将改变其感知的复杂性的程度可能是昂贵且缓慢的。能够对感知的复杂性进行可靠估计的自动化系统可以减少开发成本和时间。由Garcia，Badre和Stasko（1994）以及McDougall，Curry和de Bruijn（1999）开发的图标复杂性度量与使用Matlab（MathWorks，2001）软件测量的六个图标属性相关联，该软件使用图像处理技术进行测量图标属性。所测量的六个图标属性包括图标前景，图标中的对象数量，这些对象中的孔数量以及图标边缘和图标结构同质性的两次计算。与人类对感知图标复杂性的判断（McDougall等，1999）最相关的是结构变异性（r_s = .65）和边缘信息（r_s = .64）。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号