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Measuring Icon Recognization Mapping with Automated Decision Making System

机译：测量图标识别映射与自动决策系统

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Nowadays, mobile technology has been rapidly improved in both hardware and software aspects. Thus, many applications have been built and install in a smartphone. To find an application in the smartphone, a user has to search through various icons that design based on functions of the application. The purpose of this research is to build an automatic system that helps software designers to decide if the designed-icon is a proper icon that could be recognized by the user easily or not using entropy, Canny edge detection, and decision tree. Two experiments are reported in this research. 100 icons in both Android and iPhone operation system were used in both experiments. The sample included undergraduate students and workers in Thailand ( n=90) ages ranged from 18 to 57. The first experiment was made in order to find a relationship among edge, entropy and human visual processing and use it as a training and testing dataset for the proposed system. The second experiment shows that the proposed system can be used to judge for a proper icon property with 73.33% accuracy rate.
机译：如今，硬件和软件方面的移动技术已迅速提高。因此，已在智能手机中构建并安装许多应用程序。要在智能手机中查找应用程序，用户必须通过根据应用程序的功能来搜索各种图标。本研究的目的是构建一个自动系统，帮助软件设计师来确定设计的图标是否是用户可以轻松地或不使用熵，大核边缘检测和决策树识别的适当图标。本研究报告了两项实验。两个实验中使用了100个Android和iPhone操作系统中的100个图标。该样本包括泰国的本科生和工人（n = 90）年龄从18到57。首次进行实验，以找到边缘，熵和人类视觉处理的关系，并将其作为培训和测试数据集建议的系统。第二个实验表明，所提出的系统可用于判断适当的图标属性，精度为73.33％。

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