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.
이용수
초록· 키워드
오류제보하기
Objective: The purpose of this study is to define consumers" affection on the interior design of commercial cars in terms of its design factors: color, embossing and gloss as independent factors.
Background: Existing affective studies related to interior of vehicle focus on just sedans. However, there is no affective study about the interior of commercial cars. In addition, it is hard to change levels to which manufactures want.
Method: Representative design factors were drawn using ANOVA and SNK analysis and definitive affective vocabularies were drawn using factor analysis. Furthermore, the results of 3D experiment were analyzed using ANOVA and LSD analysis. 3D images for the experiment were made using 3D max program. The experiment revealed that consumers discerned the differences in levels of each design factor and affective vocabulary.
Results: The ANOVA revealed that beige color "A" type and non-gloss were the most preferred design in terms of the affective vocabularies and total preference.
Conclusion: The result of the experiment may help manufactures to design the interior of commercial cars in the near future. Furthermore, the ANOVA result of affective vocabularies evaluation is expected to suggest a meaningful guideline.
Application: The study results may be utilized as a guideline for interior design of commercial cars.
Background: Existing affective studies related to interior of vehicle focus on just sedans. However, there is no affective study about the interior of commercial cars. In addition, it is hard to change levels to which manufactures want.
Method: Representative design factors were drawn using ANOVA and SNK analysis and definitive affective vocabularies were drawn using factor analysis. Furthermore, the results of 3D experiment were analyzed using ANOVA and LSD analysis. 3D images for the experiment were made using 3D max program. The experiment revealed that consumers discerned the differences in levels of each design factor and affective vocabulary.
Results: The ANOVA revealed that beige color "A" type and non-gloss were the most preferred design in terms of the affective vocabularies and total preference.
Conclusion: The result of the experiment may help manufactures to design the interior of commercial cars in the near future. Furthermore, the ANOVA result of affective vocabularies evaluation is expected to suggest a meaningful guideline.
Application: The study results may be utilized as a guideline for interior design of commercial cars.
목차
1. Introduction
2. Method
3. Result
4. Discussion
5. Conclusion
References
참고문헌 (10)
참고문헌 신청
1. [학술지(정기간행물)] - Hsiao, K.A. / 2006 / Fundamental dimensions of affective responses to product shapes / International Journal of Industrial Ergonomics 36 (6) : 553 ~ 564
2. [학술지(정기간행물)] - Jiao, J.R. / 2007 / Product family design and platform-based product development: a state-of-the-art review / Journal of Intelligent Manufacturing 18 (1) : 5 ~ 29
3. [단행본] - Kim, J. / 2014 / HCI International 2014-Posters' Extended Abstracts / Springer International Publishing : 95 ~ 100
4. [학술지(정기간행물)] - You, H. / 2006 / Development of customer satisfaction models for automotive interior materials / International Journal of Industrial Ergonomics 36 (4) : 323 ~ 330
5. [학술지(정기간행물)] - 반상우 / 2006 / 사용자 감성과 설계변수 특성에 기반한 자동차 Crash Pad의 고급감 모형 개발 / 대한인간공학회지 25 (2) : 187 ~ 196
2. [학술지(정기간행물)] - Jiao, J.R. / 2007 / Product family design and platform-based product development: a state-of-the-art review / Journal of Intelligent Manufacturing 18 (1) : 5 ~ 29
3. [단행본] - Kim, J. / 2014 / HCI International 2014-Posters' Extended Abstracts / Springer International Publishing : 95 ~ 100
4. [학술지(정기간행물)] - You, H. / 2006 / Development of customer satisfaction models for automotive interior materials / International Journal of Industrial Ergonomics 36 (4) : 323 ~ 330
5. [학술지(정기간행물)] - 반상우 / 2006 / 사용자 감성과 설계변수 특성에 기반한 자동차 Crash Pad의 고급감 모형 개발 / 대한인간공학회지 25 (2) : 187 ~ 196
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UCI(KEPA) : I410-ECN-0101-2016-530-001110430