본문 바로가기
  • Home

A Study on Interaction with Adaptation of Digital News Media

  • Journal of Communication Design
  • Abbr : JCD
  • 2018, 63(), pp.321-334
  • DOI : 10.25111/jcd.2018.63.25
  • Publisher : CDAK Society of Communication Design
  • Research Area : Arts and Kinesiology > Design > Visual Information Design > Information Design
  • Received : March 18, 2018
  • Accepted : April 23, 2018

Yu, Sang-won 1 Pan Younghwan 2

1국민대학교 테크노디자인전문대학원 경험디자인과
2국민대학교

Accredited

ABSTRACT

With the development of the Internet and the proliferation of information data, the digitalization and diversification of news media channels, news surpluses are underway. As a result of this change in media landscape, news media is evolving to facilitate competition between traditional and new media for survival and to win the choices of users who have turned themselves into active participant. Based on this background, this study attempted to analyze adaptive digital news media and to propose an interaction model which can be universally applicable. For this, the study looked into Marshall McLuhan's media theory, Uses & Gratification Theory, biological evolution theory with the Universal Darwinism by Richard Dawkins, and then finally the interaction design concepts. Through theoretical considerations of previous studies, it was found that interactions with users were a key factor in the news media trying to adapt to the new environment. Based on the previous discussion, the Adaptive news media is newly defined, and the case studies of these news media companies extracted three common characteristics. First, those expands social media-centric interaction channel. Secondly, those experiment with various forms of new media technology and study new patterns of interaction formats. Lastly, those produce personalized content through user data analysis. Based on these results, a new model of interaction in Adaptive news media is proposed and expected to be used in a meaningful analysis framework in the future.

Citation status

* References for papers published after 2023 are currently being built.