本文選題：感性工學(xué)　切入點(diǎn)：產(chǎn)品意象　出處：《吉林大學(xué)》2017年碩士論文

【摘要】：化石能源危機(jī)與環(huán)境惡化共同推動(dòng)了新能源汽車的推廣普及,而新能源汽車也造就和帶動(dòng)了新的汽車配套設(shè)施產(chǎn)業(yè)的發(fā)展,其中純電動(dòng)汽車最為依賴的充電設(shè)備也成為產(chǎn)品設(shè)計(jì)領(lǐng)域里一個(gè)新的方向,作為新興的產(chǎn)品設(shè)計(jì)方向,探索其設(shè)計(jì)語言與造型意象成為了首要解決的問題。本文以電動(dòng)汽車充電設(shè)備外觀造型給人的感性意象為研究方向,重點(diǎn)研究電動(dòng)汽車充電設(shè)備外觀造型與感性意象之間的關(guān)系。首先通過期刊、網(wǎng)絡(luò)、論文搜集電動(dòng)汽車充電設(shè)備的感性意象詞語,然后對(duì)這些詞語進(jìn)行篩選和添加反義詞得到28對(duì)意象,再與篩選出10個(gè)的充電設(shè)備樣本制作成調(diào)查問卷,運(yùn)用SD法測(cè)試受訪者,整理問卷收集到的數(shù)據(jù)信息進(jìn)行因子分析與聚類分析,得到5對(duì)代表性詞語;結(jié)合視覺認(rèn)知原理探討總結(jié)產(chǎn)品外觀造型要素;利用之前得到的5對(duì)代表性意象詞語和10個(gè)樣本運(yùn)用語義差異法進(jìn)行第二次問卷調(diào)研,將各樣本得調(diào)研數(shù)據(jù)與其造型要素進(jìn)行偏相關(guān)分析以尋找各造型要素與各造型意象之間的聯(lián)系,為每種感性意象提出相應(yīng)的設(shè)計(jì)建議。本文在電動(dòng)汽車充電設(shè)備造型研究領(lǐng)域運(yùn)用感性工學(xué)的研究方法對(duì)其造型要素與造型意象之間的關(guān)系進(jìn)行研究,將定性的分析轉(zhuǎn)化為定量分析,依靠SPSS軟件進(jìn)行數(shù)據(jù)分析,使得研究結(jié)論有了可靠保障,將感性意象具象化到電動(dòng)汽車充電設(shè)備的造型設(shè)計(jì)要素中去,使其外觀造型活動(dòng)更具可控性和明確性。
[Abstract]:The fossil energy crisis and environmental deterioration have promoted the popularization of new energy vehicles, and new energy vehicles have also created and driven the development of the new automobile supporting facilities industry. Among them, the charging equipment most dependent on pure electric vehicles has also become a new direction in the field of product design, as a new direction of product design. Exploring its design language and modeling image has become the most important problem to be solved. In this paper, the perceptual image of the appearance of electric vehicle charging equipment is taken as the research direction. This paper focuses on the relationship between the appearance of the electric vehicle charging device and the perceptual image. Firstly, the paper collects the words and expressions of the perceptual image of the electric vehicle charging device through periodicals, networks, and so on. Then we sift these words and add antonyms to get 28 pairs of images. Then we use SD method to test the interviewees by making a questionnaire with 10 samples of charging devices. Through factor analysis and cluster analysis, 5 pairs of representative words were obtained, and the factors of product appearance modeling were summarized based on visual cognitive principle. The second questionnaire was conducted by using the semantic difference method using the 5 pairs of representative image words and 10 samples previously obtained. In order to find out the relationship between each modeling element and the image of modeling, the partial correlation analysis between the data obtained from each sample and its modeling elements is carried out. In this paper, the relationship between the modeling elements and the image of electric vehicle charging equipment is studied by using the method of perceptual engineering in the field of electric vehicle charging equipment modeling. The qualitative analysis is transformed into the quantitative analysis, and the data analysis is carried out by the SPSS software, which makes the research conclusion reliable, and puts the perceptual image into the modeling design elements of the electric vehicle charging equipment. Make its appearance styling activity more controllable and clear.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM910.6

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