| 研究生: |
張信賢 Chang, Hsin-Hsien |
|---|---|
| 論文名稱: |
汽車特徵意象及其在視覺上的認知研究 Exploring Passenger Cars' Form Identity through Visual Images and Perception |
| 指導教授: |
張育銘
Chang, Yu-Ming |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系 Department of Industrial Design |
| 論文出版年: | 2006 |
| 畢業學年度: | 94 |
| 語文別: | 中文 |
| 論文頁數: | 68 |
| 中文關鍵詞: | 認知特徵 、感性工學 、眼球軌跡理論 |
| 外文關鍵詞: | Eye-Tracking Theory, KANSEI Engineering, Cognitive Feature |
| 相關次數: | 點閱:97 下載:12 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
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。
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.
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】
1. Baxter, M., (1995). Product Design Practical Methods for the Systematic Development of New Products, Cgapman & Hall, London
2. Chiu-Shui Chan, (2000). Can style be measured ? , Design Studies Vol21,No3, May, p.277~p291.
3. Fang-Tsan Lin, (1996). A new method for describing search patterns and quantifying visual load using eye movement data. International Journal of Industrial Ergonomics 19, p.249-257.
4. Eilleen Kowler and Dhanraj Vishwanath,(2003). Localization of shapes: eye movements and perception compared. Vision Research 43, p.1637-1653.
5. Goldberg J. H., Kotval X. P., (1998). Computer ` evaluation using eye movements: methods and constructs. International Journal of Industrial Ergonomics 24, p.631-645.
6. G.Underwood, (1998). Eye Guidance in Reading and Scene Perception. North-Holland.
7. Hubel,D. H., (1988). Eye, brain, and vision. New York: W. H. Freeman.
8. Humphreys, G. W., Bruce, V., (1989). Visual Cognition: Computational, Experimental, and Neuropsychological Perspectives, Lawrence Erlbaum Associates, Hillsdale, NJ.
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.
11. Klein, R. (1980). Does Oculomotor Readiness Mediate Cognitive Control of Visual Attention in Attention and Performance, Lawrence Erlbaum Associates, Hillsdale, NJ, In: R.S. Nickerson (Eds.)
12. Kolers, P.A., Duchnicky, R.L., Ferguson, D.C., (1981). Eye movement measurement of readability of CRT displays. Human Factors 23 (5), 517-527.
13. Lester, Paul Martin, (1995). Visual Communication-Image with Message. Belmont, Calif.: Wadsworth Publishing Company.
14. Loftus, G. R., Mackworth, N. H.,(1978). Cognitive determinants of fixation location during picture viewing. Journal of Experimental Psychology: Human Perception and Performance 4(4).
15. Mackworth, N.H., (1976). Stimulus density limits the useful "eld of view. In: Monty, R.A., Senders, J.W. (Eds.), Eye Movements and sychological Processes. Erlbaum,Hillsdale, NJ.
16. Martindale, Colin, (1991). Cognitive Psychology-A Neural-Network Apporach. Cole Publishing Company, Pacific Grove,CA.
17. Patria A. Chalmers(2003).The role of cognitive theory in human- computer interface. Crew System Interface Division, US Air Force
18. Rhenius, D., and Deffner, G.,(1990). Evaluation of concurrent thinking-aloud using eye-tracking data. Proceeding of the Human Factors Society 34th Annual Meeting. Santa Monica, CA: Human Factors Society. p.1265-1269
19. Selfridge,O.G.,& Neisser, U.(1963), Pattern recognition by machine., Computers and Thought. New York: McGraw-Hill.
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
21. Solso,R. L., (1995). Cognitive psychology. Boston, MA:Allyn and Bacon