彈性資訊視覺化方法之研究; A Flexible Information Visualization Method Based on User Perception

NCUIR > School of Management at National Central University > Graduate Institute of Business Administration > Electronic Thesis & Dissertation > Item 987654321/25842

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/25842

Title:	彈性資訊視覺化方法之研究;A Flexible Information Visualization Method Based on User Perception
Authors:	巫亮宏;Liang-Hong Wu
Contributors:	企業管理研究所
Keywords:	三維操控;感知;資訊視覺化;3D control;Perception;Information Visualization
Date:	2010-01-06
Issue Date:	2010-06-11 16:49:28 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	由於企業管理已進入了電子化的時代，因此企業的電子資料量以指數型態不斷的增加著。如何在如此大量的電子資料中順利的進行資料挖掘變成一件有難度的工作。而資訊視覺化方法可以把這些大量而複雜的電子資料以不同的圖形形式呈現出來，並巧妙的利用了人類天生優於電腦的對於圖形的感知能力，因此克服了對於大量而複雜企業電子資料的分析障礙。但是傳統的資訊視覺化方法僅僅提供了二維的操控能力，而觀察資料的角度也是固定且有限的，因此所有的使用者皆受限在固定的操控模式與觀察角度之下。而Magic Eye View 提出了一個新的三維操控、多角度觀察的資訊視覺化方法。讓不同的使用者可以根據自己的需要去操控、去選擇自己的角度去感知它們所選擇之資料。但是，Magic Eye View 在由二維操控進化成為三維操控的過程當中，把某些傳統資訊視覺化方法的優良特性遺漏了。因此本研究提出了新的資訊視覺化方法，不但由二維操控進化成三維操控、提供了多角度觀察能力，而且將Magic Eye View 所遺漏的傳統資訊視覺化方法之特性補足。成為了一個具有彈性能夠符合不同使用者需求的、功能完整的三維操控資訊視覺化方法。 As the amount data stored in digital format continues to grow at a rapid pace, exploring the relationships within such data is becoming increasingly difficult. Information visualization methods use the human perceptual system to help users analyze the complex relationships, and graphical hierarchy trees are usually employed to present the relationships. Conventional methods fail to consider human factors and only provide a fixed degree of detail to different users, but users have different perceptions. Magic Eye View, a well-known information visualization tool, uses a three-dimensional interaction that allows the users to control the degree of detail they would like. However, it neglects some crucial focus + context features. To address this problem, we propose two novel information visualization methods. It not only enables users to control the focus points three-dimensionally and view the preferred degree of detail in the information space, but also provides crucial focus + context features that help users understand the data based on their own knowledge and perceptions. The results of simulations show that the proposed model improves on the performance of Magic Eye View by incorporating those crucial features.
Appears in Collections:	[Graduate Institute of Business Administration] Electronic Thesis & Dissertation

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