인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
한국적 디자인을 위한 이미지 평가와 선호에 관한 연구 A Study on Image Assessment and Preference for Korean Design
한국적 디자인을 위한 이미지 평가와 선호에 관한 연구
초록·키워드
This study analysis an objective research on image assessment and preference for Korean design. The data was collected by male and female college students living in Busan and Kyungnam area. At the first trial, 119 data was collected and frequency analysis was used. At the second trial, 263 data were collected and G-sensibility districting analysis, SPSS 10.0 Package for analysis by x2 analysis, descriptive statistics analysis, and dispersion analysis were used. The results of data analysis are as follow First, an Image of Korean design was highly evaluated as modern, natural, elegance, classic, cool-casual, romantic, gorgeous, and dynamic. Second, by analysing the image differences according to the korean design concept, traditional and modern Korean dress had the Images of classic and elegance for the most, but not cool-casual Image. Korean clothes had the Images of natural Image for the most, but not romantic, dynamic, elegance, and gorgeous Images. Korean of motive clothes had the Images of dynamic for the most, but not natural and classic images. Dress style of Korean clothes had the Images of romantic Image. for the most. Third, according to the G-sensibility type regarding gender differences, male was the majority of the respondents of G3(whimsical) type, as then followed by G1(my face) type, Female was the majority of the respondents of G3 type, as then followed by G2(active) type. Fourth, according to the G sensibility type, G2 type and G3 type were highly Interested in korean design while G1 type and G4 type were not. Fifth, a preference for korean design concept was not much different upon G-sensibility type.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-ECN-0101-2009-592-014755040