Journal Search Engine
Search Advanced Search Adode Reader(link)
Download PDF Export Citaion korean bibliography PMC previewer
ISSN : 2233-4165(Print)
ISSN : 2233-5382(Online)
Journal of Industrial Distribution & Business Vol.11 No.7 pp.41-49
DOI : http://dx.doi.org/10.13106/jidb.2020.vol11.no7.41

Research on Effective Information Visualization Method Based on Mobile Web

Jina YOO1, Tae-Hyeong KIM2
1 First Author. Master’s degree graduate, Department of Data Knowledge Service Engineering, Dankook University, Korea. Email: ussun@nate.com

© Copyright: The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
2 Corresponding Author, Professor, Department of Data Knowledge Service Engineering, Dankook University, Korea, Email: kimtoja@dankook.ac.kr
May 23, 2020. July 02, 2020. July 05, 2020

Abstract

Purpose: The purpose of this study is to recognize the role and necessity of public data visualization through prior research, investigation, and data verification processes. In addition, this study intends to check what factors should be considered in order to visualize data on the mobile web. Through this process, by identifying the cognitive load affecting information visualization by type, as a result, I would like to propose an effective information visualization method to effectively deliver public data related to government policies. Research design, data and methodology: In this study, we analyzed the case of information visualization according to infographics, which has been widely used in the public field among various visualization methods. For this study, a questionnaire survey was conducted for young people in their 20s and 30s with the highest mobile usage rate. Results: Based on the results, IPA (Importance Performance Analysis) was performed to conduct cognitive load test tools for information visualization of public data and confirmed the implications for each type of infographics. Conclusions: As a result of research, in order to efficiently deliver public data on the mobile web, first, it is necessary to construct a visual screen that can be easily identified through clear data. Appropriate graphic elements can be used according to the type to make it easier for users to acquire and understand information. Second, it is necessary to provide useful content in visualizing information. Third, in order to efficiently transmit information and increase understanding of data, it is necessary to visualize information that can induce interest in data and form metaphors. Fourth, it is necessary to visualize information to reduce cognitive load in terms of physical and mental aspects in order to accommodate users' comfortable information. Fifth, in order to effectively deliver public data, it is necessary to compose contents and information that are easy for users to understand. This study examines effective information visualization methods to increase the communication effect of public data in response to changes in the data-based intelligent information society and suggests implications for each type considering cognitive loads to help future public institutions to communicate and accept information.

JEL Classification Code : E44, F31, F37, G15

초록


     

    Figure

    Table

    Reference

    1. Ahn, C. M. (2016). A Study on the current status of Data Visualization. Proceedings of Symposium of the Korean Institute of communications and Information Sciences, 12, 764-765.
    2. Cho, E. H., Kim, H. O., & Ryoo, H. Y. (2011). Image-based Visualization of Realtime Numeric Data on a Smartphone - For Designing a Water Quality Measurement Application. Journal of Digital Design, 11(4), 91-100.
    3. Choi, J. H., Kim, D. S., & Kim, H. W. (2014). An Audit Model for Usability of the Mobile Web UI/UX. Journal of Korea Knowledge and Technology, 11(2), 163-175.
    4. Choi, J. W., & Kim, L. Y. (2012). A Study on Infographic for Effective Visual Communication of the Big Data Era -Government Departments and Public Institutions-. Korea Science & Art Forum, 11(10), 94-103.
    5. Chung, K. J., & Lee, B. K. (2016). Comparison of usage patterns of mobile web and app and ecosystem of mobile internet service. KISDI Research Paper, 16(3), 12-21.
    6. Chwa, E. H., & Kim, H. H. (2014). A Study on the Effective Communication of Information Visualization - Focusing on the First Page of Weather Forecasting Application. Digital Design Studies, 14(3), 83-94.
    7. Doo, K. I. (2016). A Study on Infographic for Effective Visualization of Big Data. Journal of Communication Design, 55, 152-161.
    8. Ikehara, C. S., & Crosby, M. E. (2005). Assessing Cognitive Load with Physiological Sensors. Proceedings of the 38th Hawaii International Conference on System Sciences, 1, 1-5. ISBN 0-7695-2268-8.
    9. Jin, J. A. (2018). A Study on Infographics Research Trend from 2004 to 2017: Focusing on the Content Analysis of Academic Journal Articles in Korea. Korea Design Forum, 23(1), 135-146.
    10. Kim, B. T., & Kim, Y. H. (2010). A study on user interface designs through analysis of information visualization in a mobile-augmented reality. Journal of Korea Design Knowledge, 16, 72-81.
    11. Kim, B. N., Choi, Y. H., & Park, S. H. (2014). A Study on Interactive Visualization Guideline of Spatial-temporal Information -Based on Use Context of Location Based Social Network Service-. Design Convergence Service, 13(6), 39-56.
    12. Kim, M. J., & Chung, H. J. (2014). A Case Study on Visual Expression through Interaction with Information Types -Focusing on Interactive Infographic in the New York Times-. Korea Society of Design Culture, 20(1), 145-158.
    13. Kim, J. E., Kim, W. J., Leem, K. W., & Sohn, Y. S. (2018). A Study on the data analysis platform for effective analysis of public data. Proceedings of Symposium of the Korean Institute of communications and Information Sciences, 21, 313-314.
    14. Kim, J. I. (2018). A proposal for the direction of information visualization to revitalize the national public data portal service (Master’s Thesis). Hongik University, Seoul, Korea.
    15. Kim, T. H., Park, B. J., & Suh, E. K. (2019). Irregular Bigdata Analysis and Considerations for Civil Complaint Based on Design Thinking. Journal of Industrial Distribution & Business, 9(8), 51-60.
    16. Lee. G. D. (2018). Research on design thinking in the use of infographic visual elements. Korean Society for Product Culture and Design, 54(10), 89-99.
    17. Lee, H. N. (2017). Analysis of Characteristics Through Information Visualization Stereotyping - The Case of a Special Emphasis on Social Curation SNS Cases -. Journal of the Korean Society Design Culture, 23(2), 547-556.
    18. Lee, J. M. (2017). The Influence of Visual Elements and Interaction on Understanding Information Visualization (Master’s Thesis). Seoul National University, Seoul, Korea.
    19. Lee, J. S. (2013). A Study on Visualizing Method and Expression of Information Design for Big Data. Bulletin of Korean Society of Basic Design & Art, 14(3), 261-269.
    20. Lee, S. Y., & Lee, H. S. (2020). A Study on the Smart Tourism Awareness through Bigdata Analysis. Journal of Industrial Distribution & Business, 11(3), 19-28.
    21. Lip Source Korea. (2018). Analysis of the results of the 2nd survey of government departments' work / promotion. Retrieved September 11, 2019, from https://blog.naver.com/ipsos_korea/221416920070.
    22. Oh. B. K., & Kang, S. C. (2008). Textbook of information design (1st ed.). Paju, Korea: Ahngraphics.
    23. Park, J. C., Choi, Y. L, & Kim, I. G. (2020). Analysis of Taekwondo Performances Using IPA Technique. Sport Science, 37(2), 95-104.
    24. Park, S. H. (2018). A study on the effect of service quality on business performance of the roastery coffee shops as a differentiation factor (Master’s Thesis). Chung-Ang University, Seoul, Korea.
    25. Peak15 Communications. (2012). Communicate with Data! 6 types of Infographics. Retrieved September 06, 2019, from https://peak15.tistory.com/330.
    26. Ryu, J. H., & Yim, J. H. (2009). An Exploratory Validation for the Constructs of Cognitive Load. The Journal of Educational Information and Media, 15(2), 1-27.
    27. Shin, H. S., Leem, J. M., & Park, J. S. (2013). Information Visualization and Information Presentation for Visually Impaired People. Electronics and telecommunications trends, 28(1), 81-91.
    28. Song, S. J. (2011). A Study of GUI design about button`s size and Location on the mobile Web (Master’s Thesis). Dongseo University, Busan, Korea.
    29. Yoo, D. H. (2016). The effect of visual embellishment on user information processing type in the information visualization (Master’s Thesis). Hongik University, Seoul, Korea.
    30. Yoo, H. S., Suh, E. K., & Kim, T. H. (2020). A Study on Technology Acceptance of Elderly living Alone in Smart City Environment: Based on AI Speaker. Journal of Industrial Distribution & Business, 11(2), 41-48.
    31. Yoo, I. H. (2017). Type Analysis of Visual Expressions based on Infographic Used by Government Branches - Focusing on Work Reports of 25 Government Branches. Journal of Communication Design, 60, 173-188.
    32. Zuo, Y. X., & Kim, H. H. (2014). A Study on the Effective Communication of Information Visualization - Focusing on the First Page of Weather Forecasting Application. Journal of Digital Design, 14(3), 83-94.