期刊名称:International Journal of Asia Digital Art and Design Association
电子版ISSN:1738-8074
出版年度:2018
卷号:22
期号:4
页码:9-16
DOI:10.20668/adada.22.4_9
语种:English
出版社:アジアデジタルアートアンドデザイン学会
摘要:The purpose of this research is to study the effectiveness of interactive data visualization in the design aspect. Theprominent leaders of the mass media medium using data visualization, Bloomberg and The New York Times, are selectedfor this research study. In order to collect the latest data as a case study based, this research narrowed down to selectingarticles consisting of data visualization written in the year between 2016 and 2017. Amongst these selections, a total of 174articles are referenced as examples applying interactive elements of data visualization in news articles. Cases werecategorized into types of interaction, and 5 cases were focused on each type.Each type is named after their functions by interactive; Showing Detailed Information, Relation of Data, Narrative, DataClassification, and Editorial. No matter which media have produced, all cases were applying 1 or more interactive of these5 types in each article.The value we found throughout the research is as follow. First, interactive data visualization has been in use in thespecialized field of news media. This explains that the news media now concentrate on utilizing data visualization in themain news section. Second, the interactive design style of data visualization considers user convenience and thepresentation’s web space at the same time. Third, data visualization of the latest news graphic adopts the latest design trendwhile developing the existing methods. The data visualization types used in the print media is adopted by the digitalmedium with a hint of interactive elements, forming a new visualization with an introduction of the latest design trendsand ever advancing technology. It is expected that interactive data visualization will continue to advance along with thefast-paced media environment and data technology.In this study, we studied data visualization examples that are actively interactive with users to better understand thedifferent types of data visualization. Categorizing interactive types is to understand the current trends in data visualizationdesign. Based on this research, we suggest the future direction in developing and advancing ways to design the interactivedata visualization.
关键词:Interactive Data Visualization;News Graphic;Data Design