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Improving Readability of Contextualized Text Explanations

机译:提高上下文化文本说明的可读性

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摘要

DUAL-USE OF IMAGE SPACE (DUIS) is an interactive technique for presenting text corresponding to images within the image space. From a technical point of view, the pixels in the image space are used both as text which can be read as well as for shading. This approach raises a number of interesting new readability problems: First, in order to simulate shading, the weight and the width of the character glyphs are manipulated. We have noted that readers find reading text with weight and width variations not only difficult but also irritating. Second, the shape of the silhouettes of the objects, by their irregular nature, are not ideal for text layout. In this paper we present techniques for addressing the DUIS readability problems. The techniques are divided into three categories as follows: First, shading and reading functionalities have been separated by creating two text presentation modes, shading mode and reading mode. In reading mode, it is no longer necessary to vary the weight and width of the character glyphs. Second, we have introduced the concept of multiple column presentation to address the problems of interruptions in reading. Finally, distortions of the objects are also used to improve readability.
机译:图像空间的双重使用(DUIS)是一种交互式技术,用于呈现与图像空间内的图像相对应的文本。从技术角度来看,图像空间中的像素既用作可读取的文本,也用作阴影。这种方法提出了许多有趣的新的可读性问题:首先,为了模拟阴影,操纵了字符字形的粗细和宽度。我们已经注意到,读者发现阅读文本的重量和宽度变化不仅困难,而且令人恼火。其次,对象的轮廓形状由于其不规则的性质,对于文本布局而言并不理想。在本文中,我们提出了解决DUIS可读性问题的技术。该技术分为三类:首先,通过创建两个文本呈现模式(阴影模式和阅读模式)来分离阴影和阅读功能。在阅读模式下,不再需要更改字符字形的粗细和宽度。其次,我们引入了多列表示的概念来解决阅读中断的问题。最后,对象的变形也用于提高可读性。

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