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EAGER: Identifying Graphic Design Principles for Reports and Presentations

EAGER: Identifying Graphic Design Principles for Reports and Presentations
EAGER:确定报告和演示文稿的平面设计原则
批准号:
1252819
负责人:
Maneesh Agrawala
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-01-01 至 2013-12-31

项目摘要

项目成果

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中文摘要
翻译
报告和演示文稿经常用于共享信息。在商业、科学、教育、法律和政府中,这样的文件无处不在。当它们是精心设计的报告和演示文稿时,联合收割机将文本与图表、表格和图表结合起来,以直观地突出重要的发现。优秀的设计师仔细选择颜色、字体、布局和构图,以澄清和强调关键思想。然而,创建一个有效的图形设计是具有挑战性的;大多数需要制作报告和演示文稿的人没有接受过艺术和设计方面的相关培训。即使经过适当的培训,创建有效的设计也可能非常耗时。其结果是,报告和演示文稿往往设计得很差。这项探索性研究的目标是开发新的工具,以改进报告和演示文稿的图形设计,突出所需的信息内容。最初的工作集中在确定有效的视觉传达和图形设计的原则,以生成高质量的报告和图表的问题。挑战在于识别视觉设计中最重要的维度(例如空间布局,字体,颜色等)。基于大量的报告和演示文稿。将使用众包、图像分析和机器学习技术相结合的方法来确定优秀图形设计的视觉特性。预期的结果将导致更好地理解图形设计如何有助于报告或演示文稿的清晰度和可用性。这项工作将产生一套明确的原则,创造有效的平面设计和基于网络的材料,这些原则的教学,以提高整个社会的设计素养。该项目为学生提供研究经验,并将向高中和大学生介绍设计原则。项目网址(http:vis.berkeley.edu/projects/graphicDesignPrinciples)用于传播成果,包括软件;网上来源的报告和介绍汇编;文件和技术报告;以及教育材料。
英文摘要
Reports and presentations are frequently used to share information. In business, science, education, law, and government, such documents are ubiquitous. When they are well-designed reports and presentations combine text with charts, tables and diagrams to visually highlight important findings. Good designers carefully choose colors, fonts, layout and composition to clarify and emphasize key ideas. Yet, creating an effective graphic design is challenging; most people who need to produce reports and presentations do not have the relevant training in art and design. Even with the proper training, creating effective designs can be extremely time-consuming. The result is that all too often reports and presentations are poorly designed. The goal of this exploratory research is to develop new tools for improving the graphic design of reports and presentations to highlight the desired information content. The initial work centers on the problem of identifying the principles of effective visual communication and graphic design for generating high-quality reports and diagrams. The challenge is to identify the most significant dimensions of visual design (e.g. spatial layout, fonts, colors, etc.) based on a large corpus of reports and presentations. A combination of crowdsourcing, image analysis and machine learning techniques will be used to determine the visual properties that characterize good graphic designs. The expected result will lead to better understanding of how graphic design contributes to the clarity and usability of a report or presentation. This work will produce an explicit set of principles for creating effective graphic design and web-based materials for teaching these principles to improve design literacy in society at large. The project provides research experience to students and design principles will also be presented to high school and college students. The project Web site (http://vis.berkeley.edu/projects/graphicDesignPrinciples ) is used to disseminate results, including software; a corpus of reports and presentations from web-based sources; papers and technical reports; and educational materials.
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