Automated Visual Presentation: From Heterogeneous Information to Coherent Visual Discourse

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• 作者：Zhou ; Michelle X. ; Feiner ; Steven K.
• 关键词：automated graphics generation ; heterogeneous data characterization ; visual information classification ; coherent visual discourse ; visual design principles
• 刊名：Journal of Intelligent Information Systems
• 出版年：1998
• 出版时间：1998
• 年：1998
• 卷：11
• 期：3
• 页码：205-234
• 全文大小：587 KB

文摘

Automated visual presentation systems should be able to design effective presentations forheterogeneous (quantitative and qualitative) information. They should also be able to work in static orinteractive environments and capable of employing a wide range of visual media and visual techniques.In this paper, we focus on three tasks in building visual production systems: establishing a thoroughunderstanding of the presentation-related characteristics of domain-specific information; classifyingseveral types of visual information and capturing their distinct syntactic, semantic, and pragmaticfeatures; and formulating a set of design principles.

We define a data-analysis taxonomy to characterize heterogeneous information. In addition, we have modeled presentation context information such as audience identity to produce user-centered visual design. To utilize and manipulate visual information, we have classified it into visual objects and visual tools based on itsrole in the visual production process. To guide the visual design process, we have formulated a set ofdesign principles that ensure the expressiveness and effectiveness of a design. To test and evaluateour work, we have developed a prototype system called IMPROVISE based on the research results. We useexamples generated by IMPROVISE to illustrate how it constructs visual presentations.