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A Study on Measures for the Visualization of Personalized Content According to the Characteristics of Cognitive Affordance

  • Journal of Communication Design
  • Abbr : JCD
  • 2018, 65(), pp.95-106
  • DOI : 10.25111/jcd.2018.65.07
  • Publisher : CDAK Society of Communication Design
  • Research Area : Arts and Kinesiology > Design > Visual Information Design > Information Design
  • Received : September 10, 2018
  • Accepted : October 29, 2018

Min， Seul-gi 1,  SUNGHOON KIM 2

1한양대학교 일반대학원 영상디자인 전공
2한양대학교

Accredited

ABSTRACT

The expansion of networks and changes to the mobile-centric communication environment provide an environment that users can consume large amounts of information at any time and from anywhere. In the deluge of information, users inevitably came to need services that can get their desired information quickly, and accordingly, curation services that can collect and divide information and then provide information appropriate for each user have become an important issue. This study is about how to develop personalized content provided to users through curation services, and the purpose of the study is to apply the concept of cognitive affordance that can predict users’ behaviors based on cognition to the characteristics of personalized content that provides filtered information. As methods for research, it has examined the concepts and features of each terminology first through theoretical considerations and derived the visualization characteristics of affordance depending on each stage of personalized content largely by visual cognition and functional cognition, and finally, it has applied the derived elements to the cases and then analyzed them through interviews with experts in the field. As a result of the analysis, it could be confirmed that there were differences among the stages of the personalized content that the effect of visual cognition was significant in the stages of the filtering search and research, and on the other hand, the effect of functional cognition was significant in the data filtering and service stages. In this paper, it aims at proposing the importance of personalized content, based on users’ awareness and understanding in a content environment with big data in the future, and the direction for the study of appropriate visualization methods accordingly.

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