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商業資訊圖表之設計認知模式研究

Research on the Design Cognitive Model of Business Infographics

摘要


資訊圖表的設計通常圖多文少,並以視覺設計的方式,將複雜的數據轉換為圖表,其過程必須包含數據資料、核心概念、表現形式等三大要素,設計者與閱讀者需要對於相同的資訊數據具備一定程度的認知,才能設計出容易閱讀的資訊圖表。本研究以商業資訊圖表為主,從文獻中整理、歸納並建構「商業資訊圖表之設計認知模式」,在資訊圖表的視覺設計過程中,可以依技術層次的視覺要素、語意層次的內在意涵、效果層次的情感關聯等設計三階段,找出閱讀者認知之資訊圖表設計方向,並著眼於公司現況的「管理」與未來的「決策」,啟發閱讀者對資訊圖表價值的思考,進一步提昇公司組織的經營效益,並快速掌握市場商機。

並列摘要


The design of infographics usually has more pictures and less text, and uses visual design to convert complex data into charts. The process must include three elements: data, core concepts, and forms of expression. Designers and readers need to have a certain degree of cognition on the information data for designing easy-to-read infographics. This research focuses on business infographics. It sorts out, summarizes and constructs the "design cognitive model of business infographics" from the literature. In the process of visual design of infographics, it can be based on the technical level of visual elements and the semantic level of the inherent meaning, effective level of emotional connection and other design stages, to find out the reader's cognition of the infographic design direction, and focus on the "management" of the company's current situation and future "decisions", inspiring readers to think about the value of infographics, and further improve the operating efficiency of the company's organization, and quickly grasp the market business opportunities.

並列關鍵字

infographics cognitive models visual design

參考文獻


Ali, S. M., Gupta, N., Nayak, G. K. & Lenka, R. K. (2016). Big data visualization: Tools and challenges. 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), 656-660. doi: 10.1109/IC3I.2016.7918044
Chen, M. & Jänicke, H. (2010). An Information-theoretic framework for visualization. IEEE Transactions on Visualization and Computer Graphics, 16(6), 1206-1215. doi: 10.1109/TVCG.2010.132
Raghav, R. S., Pothula, S., Vengattaraman, T. & Ponnurangam, D. (2016). A survey of data visualization tools for analyzing large volume of data in big data platform. 2016 International Conference on Communication and Electronics Systems (ICCES). doi: 10.1109/CESYS.2016.7889976
Caior, A. (2010). The Functional Art: An introduction to information graphics and visualization. USA: New Riders.
Finke, T., Manger, S., & Fichtel, S. (2012). Informotion: Animated Inforgraphics. Deutschland, Berlin: Les Gestalten.

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