Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Research on Airport Public Art Design Elements and Preferences Based on Big Data Sentiment Analysis

빅데이터 감성분석에 따른 공항 공공예술 디자인 요소 및 선호도 연구

  • Zhang, Yun (Dept. of Storytelling, Graduate School, Dong-Eui University) ;
  • Zou, ChangYun (Dept. of Storytelling, Graduate School, Dong-Eui University) ;
  • Kim, CheeYong (Dept. of Game Engineering, Dong-Eui University)
  • Received : 2022.06.07
  • Accepted : 2022.10.04
  • Published : 2022.10.31
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Abstract

In the context of globalization, circulation between cities has become more frequent. The airport is no longer just a place for boarding, disembarking, and transportation, but a public place that serves as the communication function of the "aviation city". The intervention of public art in the airport space not only gives users a sense of space experience, but also becomes a unique carrier for city and country image shaping. The purpose of this paper is to study the emotional value brought by airport public art to users, and to investigate the correlation analysis of public art design elements and user preferences based on this premise. The research methods are machine learning method and SPSS 21.0. The user's emotional value is introduced in the big data evaluation, and the preference and inclination of airport users to various elements of public art are analyzed by questionnaire. Through the research conclusion, the preference and main contradiction of users in the airport for the four dimensions of public art design elements are obtained. Opinions and optimization methods to provide reference data and theoretical support for public art design.

Keywords

Acknowledgement

This Work was supported by Dong-eui University Foundation Grant (2022).

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