인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
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초록·키워드
Objective: The purpose of this study is to identify affective variables for visual quality of vehicle trunks and to explore the relationship between the affective variables and design variables of the trunks. By determining which design variables affect satisfaction of the trunk based on the relationship, design guideline can be suggested to improve the affective quality and the satisfaction of the trunks. Background: As the importance of user satisfaction has been increasing in the product-use, affective engineering has become a key method to design a product for improving the user satisfaction. Method: Ten vehicles and thirty participants were recruited for the affective evaluation. The affective visual quality for the vehicle trunks was rated by the participants using 7-Likert scales and 100 point scales. According to the results, we developed the affective model of visual quality for vehicle trunk using regression analysis based on the relationship between the affective variables and conjoint analysis based on the relationship between the design variables and satisfaction. Results: As the result of the conjoint analysis, Pad Color turned out to be the design variables that have positive impact on improving satisfaction of vehicle trunk. Different types of vehicle showed that the different design variables were used to describe the satisfaction of the trunk. Conclusion: By statistical analysis for the impact on the satisfaction of the trunk, the relationship between the affective variables and design variables is determined. An evaluation model of the satisfaction vehicle trunk is suggested based on the relationship. Also, the combinations of design variables are expected to be applied on forecasting the affective visual quality of the vehicle trunk developed later. Application: On the basis of this study, the evaluation model of satisfaction can be further applied to other moving parts of vehicle such as hood and sunroof.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2016-530-001604844
