Abstract—Data visualization is the combination of design aesthetics and rigorous science, and the selection on visual representations is ultimately determined by the integration of aesthetics and design information. For the design knowledge and experience on this aspect is rather deficient, designers often cannot keep the balance between design and functions. This study is aim at developing a data visualization design method targeted to design on design education, to enable students to have specific methods to follow when engaging in information design and to provide reference to designers for design. The content analysis method is employed to discuss relevant literature and to summarize the data visualization design cases, and the data visualization design patterns are established to facilitate learning and knowledge inheritance of data visualization design.
Index Terms—Information aesthetics, data visualization, information function, visualization exploration.
Chiung-Hui Chen is with Asia University, Taichung, Taiwan (e-mail: 7451616@gmail.com).
[PDF]
Cite: Chiung-Hui Chen, "Research on the Application of Function-Technology-Aesthetics Framework in the Design Knowledge Modelling of Data Visualization," International Journal of Knowledge Engineering vol. 6, no. 2, pp. 48-52, 2020.
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (
CC BY 4.0).
