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系統識別號 U0026-0812200911521589
論文名稱(中文) 汽車特徵意象及其在視覺上的認知研究
論文名稱(英文) Exploring Passenger Cars' Form Identity through Visual Images and Perception
校院名稱 成功大學
系所名稱(中) 工業設計學系碩博士班
系所名稱(英) Department of Industrial Design
學年度 94
學期 2
出版年 95
研究生(中文) 張信賢
研究生(英文) Hsin-Hsien Chang
電子信箱 s883719@hotmail.com
學號 p3693123
學位類別 碩士
語文別 中文
論文頁數 68頁
口試委員 口試委員-馬敏元
口試委員-陳健雄
指導教授-張育銘
中文關鍵字 認知特徵  感性工學  眼球軌跡理論 
英文關鍵字 Eye-Tracking Theory  KANSEI Engineering  Cognitive Feature 
學科別分類
中文摘要 產品外型不僅在傳達產品意向與溝通使用者之間扮演著重要的角色,而且也是產品設計師在設計流程中不可或缺的重要元素。新世代的消費者對感性需求備受重視,嘗試導入感性工學的研究不斷被提出,其中造型特徵對感性的影響是主要被討論的對象。然而,受到量測工具的限制,感性工學在於瀏覽產品過程仍缺乏精確的數據。
本研究將導入眼球追蹤儀擷取精確的數據以供事後分析,探究汽車外型的感性特徵以及其感性意向空間的關聯性。其中一共分為兩個實驗,前測的目的在於確立
正式實驗的流程及實驗樣本語彙。而在正式實驗中,一共為3個形容詞語彙,12位經由篩選過後的受測者,而8個汽車樣本圖片則由投影機以全螢幕的方式撥放。完整的視覺瀏覽過程將由眼球追蹤儀所紀錄下來,而其瀏覽的原始數據包含有掃掠路徑的距離、焦點數目、掃視點數目等等。
經由正式實驗後瀏覽的資料分析,其研究成果可以歸結為如以下幾點: 1)在男性與女性間沒有顯著的差異,2)個別語彙間高分與低分組別也沒有顯著差異,3)速度感語彙則與穩重前衛呈現明顯差異,在速度感的語彙下,有較快的瀏覽速率及較少的視覺焦點,相反的,穩重的語彙下,則為較慢的瀏覽速率及較多的是覺焦點,4)車頭部份的水箱罩與車頭燈,為最吸引的汽車特徵。最後將會針對個別特徵影響感性意向作探討,以提供造型設計師設計時的參考。




英文摘要 Form of a product not only plays an important role in transferring the image that consumer feels from it, but also an essential element that Industrial Designers concerned about. Although KANSEI Engineering, proposed by Japanese Professor Nagamachi, was considered an effective tool in translations between products’ form and image that generated by user through their viewing processes, however since the method for understanding the viewing processes was limited by tools, most of the KANSEI Engineering researchers still remained in an imprecise status.
This research, by using eye-tracking system to acquire accurate data for analysis, aimed to explore the cognitive features of form of the passenger’s car and related them to the image for revealing the relationships between forms and image.Two experiments wee conducted. Pre-experiment was concerned about the standard processes and the setting of experimental space of main experiment, besides 8 sample cars of different image and 3 image words were selected also. In main experiment, eight sample cars were showed by projector in sequence to 12 college students individually, the detail viewing processes were recorded by eye-tracking system, and then the viewing features, expressed by the distance of scanpath, the number of fixation, the number of saccade etc., were calculated from row data.
Through the analysis to the data of viewing features from main experiment, the results of this research were concluded as follow:1) no significant difference was observed between male and female, 2) no significant difference was observed between high score and low score of each image words, 3) a significant difference was observed between [speedy] and [steady] image, a more quicker scanpath an less and less fixation were observed in [speedy], on contrary , a lower scanpath and more fixation were observed in [steady] image, 4)the head , especially the grill and head lamp, was the most attractive features in passengers car. Finally in order to give styling designers advices in form, the cognitive features of different viewing features were discussed.




論文目次 - 目 錄 -
本文目錄 ………………………… IV
圖目錄 …………………………… VII
表目錄 …………………………… VIII

《本文目錄》
第一章 緒論
1-1 研究背景與動機………………………………………………………………1
1-2 研究目的………………………………………………………………………2
1-3 研究範圍………………………………………………………………………2
1-4 研究假設………………………………………………………………………2
1-5 研究架構………………………………………………………………………3

第二章 文獻探討
2-1 視覺認知與特徵辨識…………………………………………………………4
2-1-1 從視覺到認知…………………………………………………………8
2-1-2 認知實驗及理論………………………………………………………10
2-1-3 特徵分析論……………………………………………………………11
2-2 汽車特徵的認知辨識…………………………………………………………11
2-2-1 型態特徵辨識…………………………………………………………13
2-2-2 汽車相關的特徵分析研究……………………………………………17
2-2-3 目前對於汽車造型的相關研究………………………………………17
2-3 視覺認知與眼球軌跡…………………………………………………………18
2-3-1 眼球軌跡………………………………………………………………20
2-3-2 眼球注視點及掃視……………………………………………………20
2-3-3 眼球軌跡在視覺顯示器上的研究……………………………………20
2-4 視覺感受的量測方法…………………………………………………………21
2-4-1 視線的軌跡及持續時間………………………………………………20
2-4-2 視點密集度……………………………………………………………20
2-4-3 視覺重心………………………………………………………………20

第三章 研究方法與實驗步驟
3-1 研究流程………………………………………………………………………22
3-2 建立實驗介面…………………………………………………………………23
3-2-1 樣本建構………………………………………………………………23
3-2-2 實驗樣本挑選調查……………………………………………………23
3-2-3 向量圖形建立特徵要項………………………………………………25
3-3 眼球軌跡追蹤實驗……………………………………………………………27
3-3-1 實驗受測者……………………………………………………………28
3-3-2 感性語彙篩選…………………………………………………………28
3-4 實驗前測………………………………………………………………………28
3-4-1 實驗前測校正…………………………………………………………29
3-4-2 實驗場地配置…………………………………………………………29
3-5 正式實驗………………………………………………………………………30
3-5-1 實驗前準備……………………………………………………………31
3-5-2 實驗結果紀錄方式……………………………………………………31

第四章 實驗結果分析與討論
4-1 視線軌跡分析…………………………………………………………………34
4-1-1 視線軌跡分析流程圖…………………………………………………36
4-1-2 分析前置步驟…………………………………………………………40
4-1-3 實驗樣本的視線軌跡之表現…………………………………………41
4-1-4 語彙差異對視線軌跡之單因子變異數分析…………………………43
4-1-5 性別差異對視線軌跡之單因子變異數分析…………………………44
4-2 視覺焦點分析…………………………………………………………………48
4-2-1 視覺焦點分析流程圖…………………………………………………48
4-2-2 分析前置步驟…………………………………………………………52
4-2-3 實驗樣本感受評分分析………………………………………………52
4-2-4 實驗樣本的視覺焦點集中之表現……………………………………53
4-2-5 語彙差異對視覺焦點之單因子變異數分析…………………………53
4-2-6 性別差異對視覺焦點之單因子變異數分析…………………………56
4-2-7 感受分組對視覺焦點之單因子變異數分析…………………………56
4-3 複迴歸分析……………………………………………………………………48
4-3-1 速度語彙的變數關係…………………………………………………48
4-3-2 穩重語彙的變數關係…………………………………………………48
4-3-3 前衛語彙的變數關係…………………………………………………48

第五章 結論與建議
5-1 研究結果………………………………………………………………………58
5-1-1 造成視線軌跡差異的影響……………………………………………58
5-1-2 造成視覺焦點差異的影響……………………………………………59
5-1-3 特徵與語彙意象間的關係……………………………………………59
5-2 研究貢獻………………………………………………………………………60
5-3 後續研究建議…………………………………………………………………60

參考文獻:
中文部分……………………………………………………………………………61
西文部份……………………………………………………………………………62

附錄:
附錄一: 樣本挑選問卷
附錄二: 語彙與視線軌跡之ANOVA表格
附錄三: 性別與視線軌跡之ANOVA表格
附錄四: 語彙與視覺焦點之ANOVA表格
附錄五: 性別與視覺焦點之ANOVA表格
附錄六: 感受等級與視覺焦點之ANOVA表格
附錄七: 複回歸分析表格

《圖目錄》
圖1-1 研究架構圖………………………………………………………………3
圖2-1 視線軌跡與持續時間圖…………………………………………………9
圖2-2 視點密度圖………………………………………………………………22
圖2-3 加權搜索區域圖…………………………………………………………24
圖3-1 研究流程圖………………………………………………………………25
圖3-2 實驗樣本圖………………………………………………………………26
圖3-3 汽車解構特徵區域圖……………………………………………………26
圖3-4 KJ MAP圖…………………………………………………………………26
圖3-5 實驗前測受測者校正式意圖……………………………………………29
圖3-6 前測兩組受測者校正圖…………………………………………………30
圖3-7 實驗場地側視配置圖……………………………………………………32
圖3-8 實驗場地側視及俯視圖…………………………………………………35
圖3-9 正式實驗流程圖…………………………………………………………35
圖4-1 實驗結果之分析工作內容流程圖………………………………………35
圖4-2 瞳孔落點分布圖…………………………………………………………35
圖4-3 視線軌跡圖………………………………………………………………35
圖4-4 視覺焦點分析流程圖……………………………………………………35
圖4-5 瞳孔落點分布圖…………………………………………………………35
圖4-6 注視點分布圖……………………………………………………………35
圖4-7 速度的語彙標準差與平均散佈圖………………………………………35
圖4-8 穩重的語彙標準差與平均散佈…………………………………………35
圖4-9 前衛的語彙標準差與平均散佈圖………………………………………35
圖4-10標準差與平均值感受分組圖……………………………………………35
圖4-11車頭燈影響速度語彙示意圖……………………………………………35
圖4-12水箱罩影響穩重語彙示意圖……………………………………………35
圖4-13水箱罩影響前衛語彙示意圖……………………………………………35


《表目錄》
表 2-1 汽車認知特徵重點表…………………………………………………10
表 2-2 McCormack與Jonathan汽車意象特徵表………………………………14
表 2-3 汽車造型相關研究表…………………………………………………18
表 3-1 樣本圖片三軸分群之歐基里得距離計算表…………………………29
表 4-1 視線軌跡的敘述統計…………………………………………………30
表 4-2 不同語彙視線軌跡之變異數分析……………………………………36
表 4-3 穩重樣本六視線軌跡之變異數分析…………………………………37
表 4-4 視覺焦點的敘述統計…………………………………………………40
表 4-5 不同語彙視覺焦點之變異數分析……………………………………42
表 4-6 速度語彙相關與決定係數表…………………………………………43
表 4-7 速度語彙變數係數對應表……………………………………………44
表 4-8 穩重語彙相關與決定係數表…………………………………………45
表 4-9 穩重語彙變數係數對應表……………………………………………48
表 4-10前衛語彙相關與決定係數表…………………………………………49
表 4-11前衛語彙變數係數對應表……………………………………………50
參考文獻 參考文獻
【中文部分】
1.沈駿緯,2002,TFT-LCD廠點燈檢測作業與視覺機能影響評估,高雄醫學大學職業安全衛生研究所碩士論文
2.蔡詩怡,2003,汽車造形輪廓之型態特徵辨識與認知之研究,國立雲林科技大學工業設計研究所碩士論文
3.劉立行,沈文英,2003,視覺傳播。台北:國立空中大學
4.張華城,2000,應用類神經網路模式於產品造形特徵辨識之研究,國立成功大學工業設計研究所碩士論文
5.張婉玲,2002,運用瞳孔追蹤系統分析網頁多重瀏覽問題,國立成功大學工業設計研究所碩士論文
6.陳鴻源,2001,汽車輪廓型態意象與區分特徵之關係,國立成功大學工業設計研究所碩士論文
7.馬志朋,1995,不同國別汽車造形意象研究,國立成功大學工業設計研究所碩士論文
8.鄭麗玉,1993,認知心理學-理論與應用。台北:五南出版社

【英文部分】
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6. G.Underwood, (1998). Eye Guidance in Reading and Scene Perception. North-Holland.
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9. Jay P. McCormack and Jonathan Cagan., (2003). Speaking the Buick language: capturing, understanding, and exploring brand identity with shape grammars. Design Studies Vol25, No1, Jan, p.1~p29.
10. Jean F. Petiot and Bernard Yannou, (2003). Measuring consumer perceptions for a better comprehension, specification and assessment of product semantics. International Journal of Industrial Ergonomics 33, p.507-525.
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20. Sara C. Sereno and Keith Rayner, (2003). Measuring word recognition in reading: eye movements and event-related potentials. Trends in Cognitive Sciences Vol.7, p.489-493
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