Visual Data Mining: Digital Visual Activities In Network Society

Authors

  • Jokhanan Kristiyono Stikosa-AWS http://orcid.org/0000-0001-5004-1095
  • Maulia Jayantina Islami Balai Pengembangan Sumber Daya Manusia dan Penelitian (BPSDMP) Kominfo Surabaya
  • Ratna Puspita Sari Stikosa-AWS
  • Suprihatin Suprihatin Stikosa-AWS

DOI:

https://doi.org/10.21111/ejoc.v7i2.9405

Keywords:

visual culture, data mining, network society, , digital activity

Abstract

This article describes scientific discoveries that drive the phenomenon of visual cultural communication media in networked societies. Many types of research on visual culture have focused more on visual arts and mass media. However, few have yet addressed the problem of people's digital activities in searching for visual information on the Internet ( Visual search engine as a resource for visual data mining The amount of digital information, including visual information, is increasing exponentially.This research uses a literature study method with a qualitative approach. The primary data used in this study are studies on visual culture and visual search engines published in international peer-reviewed journals. Analysis of digital behavior and visual culture in a networked society is described as a research topic in previous research results. The conclusions drawn indicate that there is still a relatively deep and broad analysis of the study of visual culture when using digital communication media. There are few research studies on visual culture and digital activities in connected communities, especially people's visual information search behavior.

Author Biography

Jokhanan Kristiyono, Stikosa-AWS

Program Studi Ilmu Komunikasi

References

Bederson, B. B., Bederson, B. B., & Shneiderman, B. (2003). The craft of information visualization: readings and reflections. Morgan Kaufmann.

Card, M. (1999). Readings in information visualization: using vision to think. Morgan Kaufmann.

Cashman, D., Humayoun, S. R., Heimerl, F., Park, K., Das, S., Thompson, J., … Endert, A. (2019). A User‐based Visual Analytics Workflow for Exploratory Model Analysis. In Computer Graphics Forum (Vol. 38, pp. 185–199). Wiley Online Library.

Cleveland, W. S. (1994). The elements of graphing data (Revised ed.). Murray Hill, NJ.

Dan et al (2016). Measuring and Predicting Search Engine Users’ Satisfaction. ACM Computing Surveys, Vol. 49, No. 1, Article 18.

Davies, M. B., & Hughes, N. (2014). Doing a successful research project: Using qualitative or quantitative methods. Macmillan International Higher Education.

Elkins, J. (2010a). Visual cultures. Intellect Books.

Elkins, J. (2010b). Visual practices across the university. In Beyond mimesis and convention (pp. 169–192). Springer.

Erdal, C. (2012). Visual Culture In The New Communication Environment: E-Government As A Case Study. The Turkish Online Journal of Design Art and Communication, 2(4), 47–51.

Flavian-Blanco et al (2011). Analyzing the emotional outcomes of the online search behavior with search engines. Computers in Human Behavior 27 (2011) 540–551

Flick, U. (2015). Introducing research methodology: A beginner’s guide to doing a research project.

Geisler, W.S., 2011. Contributions of ideal observer theory to vision research. Vis. Res. 51 (7), 771–781. Gold, J.I., Shadlen, M.N., 2002.

Han, J., Kamber, M., & Pei, J. (2012). Data mining trends and research frontiers. Data Min, 585-631.

Heer, J., Bostock, M., & Ogievetsky, V. (2010). A tour through the visualization zoo. Communications of the ACM, 53(6), 59–67.

Hentschel, K. (2014). Visual cultures in science and technology: A comparative history. Oxford University Press, USA.

Hoober, S., & Berkman, E. (2011). Designing mobile interfaces: Patterns for interaction design. “ O’Reilly Media, Inc.”

Jokhanan Kristiyono, S. T. (2020). KOMUNIKASI GRAFIS: Dilengkapi Panduan Teknis Desain Layout dengan Aplikasi Software Grafis InDesign. Prenada Media.

Kalra et al (2020) Yottixel – An Image Search Engine for Large Archives of Histopathology

Kristiyono, J. (2017). Budaya Internet: Perkembangan Teknologi Informasi Dan Komunikasi Dalam Mendukung Penggunaan Media Di Masyarakat. Scriptura. https://doi.org/10.9744/scriptura.5.1.23-30

Kristiyono, J., & Ida, R. (2019). Digital etnometodologi: Studi media dan budaya pada masyarakat informasi di era digital. Ettisal Journal of Communication, 4(2), 109-120.

Kristiyono, J., & Ida, R. (2021). Identitas digital: Konstruksi identitas pada pameran karya seni Biennale Jawa Timur 8. Satwika: Kajian Ilmu Budaya dan Perubahan Sosial, 5(2), 187-198.

Kristiyono, J., & Suprihatin, S. (2019). Statistika Ilmu Komunikasi Disertai Petunjuk Penggunaan Aplikasi SPSS Ver. 31.

Kristiyono, J., Ida, R., & Bagus, W. I. (2022). The Chronicle of Digital (Media) Arts in Contemporary Indonesia: The Shifting of Focus Toward Society 5.0. Technium Soc. Sci. J., 34, 271.

Kristiyono, J., Permatasari, D. B. A., Ekantoro, J., & Roosinda, F. W. (2022). Digital educative public message: Health protocol awareness at pandemic COVID-19 periods (Instagram feeds@ humasprovjatim) Pesan edukasi digital kepada publik tentang kesadaran protokol kesehatan pada masa pandemi COVID-19 di Instagram feeds@ humasprovjatim. Masyarakat, Kebudayaan dan Politik, 35(3), 380-395.

Kujur, F., & Singh, S. (2020). Visual communication and consumer-brand relationship on social networking sites-uses & gratifications theory perspective. Journal of Theoretical and Applied Electronic Commerce Research, 15(1), 30–47.

Liaw et al (2003). An investigation of user attitudes toward search engines as an information retrieval tool. Computers in Human Behavior 19 (2003) 751–765

Liaw et al (2006). Information retrieval from the World Wide Web: a user-focused approach based on individual experience with search engines. Computers in Human Behaviour (2006) 501-507

Kumar, R. (2018). Research methodology: A step-by-step guide for beginners. Sage.

Mirzoeff, N. (2002). The visual culture reader. Psychology Press.

O'Brien H.L., Arguello, J., Capra, R. (2020) An empirical study of interest, task complexity, and search behaviour on user engagement. Information Processing and Management 57 102226

Pavlik, J. V. (2008). Media in the digital age. Columbia University Press.

Sears, A., & Jacko, J. A. (2007). The human-computer interaction handbook: fundamentals, evolving technologies and emerging applications. CRC press.

Simoff, S. J., Böhlen, M. H., & Mazeika, A. (2008). Visual data mining: An introduction and overview. In Visual Data Mining (pp. 1-12). Springer, Berlin, Heidelberg.

Siricharoen, W. V. (2013). Infographics: the new communication tools in the digital age. In The international conference on e-technologies and business on the web (ebw2013) (pp. 169–174).

Smiciklas, M. (2012). The power of infographics: Using pictures to communicate and connect with your audiences. Que Publishing.

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339.

Tseng,Yu Chi & Howes, Andrew (2015) The adaptation of visual search to utility, ecology and design. International Journal Human-Computer Studies 80 45-55

Whole Slide Images. Medical Image Analysis 65 101757

Wilson, B. (2003). Of diagrams and rhizomes: Visual culture, contemporary art, and the impossibility of mapping the content of art education. Studies in Art Education, 44(3), 214–229.

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Published

2023-04-07