A study of Simulation Technology Flexibility in order to Analyze Visual Perception Characteristics - Focused on Preference and Complexity of Cheongnyang-ri Station Plaza -
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- 2023.04.05
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- 2017.12
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서지정보
ㆍ발행기관 : 전북대학교 부설 휴양및경관계획연구소
ㆍ수록지정보 : 휴양 및 경관연구 / 11권 / 4호
ㆍ저자명 : Shi Hong, Jeeyoon Do, Joohwan Suh
목차
ABSTRACT
1. Introduction
2. Methods
2.1 Selection & Overview of The LandscapeCases
2.2 Survey
2.3 Analysis Methods
3. Results and Discussions
3.1 Landscape Image Analysis
3.2 Preference Analysis
3.3 Complexity Analysis
3.4 Analysis of Decision Factor of LandscapePreference
3.5 Comprehensive Analysis
4. Conclusions
References
영어 초록
The purpose of this study is to investigate the possibility of using the simulation landscape image by analyzing the landscape characteristics of the Landscape image and the simulation landscape image among the methods to grasp the quantitative relationship between the physical change of the user and the human response. The research subjects were set as Cheongnyang-ri station square, and the research method is as follows. A survey was conducted based on the extracted landscape adjectives for comparison of actual landscape image and simulated landscape images. In addition, image analysis, preference and complexity analysis, and decision factor of landscape preference were analyzed to Comparison analysis the characteristics of actual landscape image and simulated landscape images. The results of comparative analysis are as follows. First, it can be seen that there is no difference in the factors that affect the specificity and openness in using the simulation landscape image. Second, preference analysis shows that both the Landscape image and the simulation landscape image are the most preferred at 10% of users. Third, the complexity is low at 0% in both the Landscape image and the simulation landscape image, and 35% is high in complexity. Fourth, the comparative analysis of the decision factor of landscape preference by 'visual complexity and preference', 'User fluctuation and preference', 'User fluctuation and visual complexity' were analyzed. Therefore, it can be seen that the method using the simulation landscape image rather than the actual landscape image is more efficient when analyzing the visual cognitive characteristics.
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