Home
Author Guide
Editor Guide
Reviewer Guide
Published Issues
Special Issue
Introduction
Special Issues List
Sections and Topics
Sections
Topics
Internet of Things (IoT) in Smart Systems and Applications
Human-Computer Interaction (HCI) in Modern Technological Systems
journal menu
Aims and Scope
Editorial Board
Indexing Service
Article Processing Charge
Open Access
Copyright and Licensing
Preservation and Repository Policy
Publication Ethics
Editorial Process
Contact Us
General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
DOAJ
,
CNKI
, EBSCO,
etc
.
APC:
1000 USD
Acceptance Rate:
27%
Average Days to Accept:
99 days
Managing Editor:
Ms. Mia Hu
E-mail:
editor@jait.us
Journal Metrics:
Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2026-08-26
JAIT Vol. 17, No. 8 has been published online!
2026-06-17
Recent News! JAIT 2025 JIF: 1.3; Q4 in category of Computer Science: Information Systems and Interdisciplinary Applications
2026-06-04
The 2025 CiteScores have been released by Scopus. JAIT received the CiteScore 2025 with 5.2!
Home
>
Published Issues
>
2020
>
Volume 11, No. 1, February 2020
>
Research on the Application of Function-Technology-Aesthetics Framework in the Design Knowledge Modelling of Data Visualization
Chiung-Hui Chen
Asia University, Taichung, Taiwan
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
Cite: Chiung-Hui Chen, "Research on the Application of Function-Technology-Aesthetics Framework in the Design Knowledge Modelling of Data Visualization," Journal of Advances in Information Technology, Vol. 11, No. 1, pp. 10-14, February 2020. doi: 10.12720/jait.11.1.10-14
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
2-T0004-台湾
PREVIOUS PAPER
Driving Style Analysis Using Recurrent Neural Networks with LSTM Cells
NEXT PAPER
A Decision Analytic Framework and Exploratory Statistical Case Study Analysis of Grass Growth in Northern Ireland
Article Metrics in Dimensions