影響新產品開發成效之造型要素探討

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1 異行車例 A Study on the Product Forms Recognition Difference between Designer and Consumer --- Electrical Bicycle as Example. 行車省力力綠老女行車行車了不了行行車行車不行車異行車車車行行異數量 I 類行異異行車來行車參行車 Electrical BicycleRecognition 異 (Semantic Differential Method) 數量 I 類 (Quantification I) 1

行車省力力綠老女行車行車了不了行行車行車不行車異行車車車行行異數量 I 類行異異

2 Abstract Because of the advantages in environmental reservation, safety, and less labor, electric bicycles, the green products continuously promoted by the government, were used by people from the aged and women to students and office staff. However, they are still not popular today. The main reason is that their forms are hard to correspond to their prices, which give consumers a feeling of instability after adding the pieces of transmission, such as the battery and the motor that hinder their willing of buying them. Consequently, it is necessary to create a better form design of a electrical bicycle, which could be compatible with the favorite of consumers. This research is to discuss the difference of recognition between student, office staff, and bicycle designer for the forms of electrical bicycles. The main form elements, which affect the electrical bicycle frame style, battery location, motor position, saddle style, and basket, were experimented by the orthogonal array. Then the semantic differential method was used to analyze the recognition and quantitative analysis to research the form analysis, affects recognition. The results were revealed that the recognition of those 4 adjectives, safe, comfortable, stable, and haughty, between the three group is different significantly, and the form elements, affect those 4 adjectives are different too. However, integrate the needed weight of each group to obtain the best combination of component form, about the recognition of electrical bicycle, we can provide a design standard for the electrical bicycle in future. The planning and analysis method in this research are quite useful for the form elements of the new product development. Key Words Electrical BicycleSemantic Differential MethodQuantification Theory Type IRecognition 2

The main reason is that their forms are hard to correspond to their prices, which give consumers a feeling of instability after adding the pieces of transmission, such as the battery and the motor

3 1. 行車年行車狀行車例女行車劉行車綠省力行車來行車來行車不行車不行車力力行車例參行車行車行車不劉行車行車狀不易論不行行車量 2002 行車數降數量類量行 1998,1999 了異行車 Jain1998 類來行車參 3

4 2. 行車六年歷了不行車行行行車狀了行車車行車參數來來 2-1 行車行車老年女兩年拉兩行女年女年不行車行車行了行車行車年行了行車參數不行車行車行車行車不不行車率車輪車 1 行車不 1 不理 4

5 車輪車 ( 1 ) 行車參數輪車車行車數車行車車女車車行車兩車 2-2 行車行車行車 56 行車 2 8x12cm 行車車不列行車參 1 車類女車 2 行車參參料六類行車類力 10 行車 60 ( 1) 料 (1)( 行車 ) (2) 度 (3)(4) 不類 (5) 立劉 1999 不行車行 2 5

1 車類女車 2 行車參參料六類行車類 10 1994 力 10 行車 60 (

6 1 類類類便亮年類流行狀力理類類不不不惡不率不便不陋流省易來行車流行易易易流流說來異不車拉車易流 6

7 流行 2-3 行車參數數車行車數行車不數車車行車行車力車不車異來說車類不車來車不車不異車車兩年來行車車錄 Taiwan Bicycle Guide, 2000 女車車車車車車車便類類車車車行兩立兩車 28 車車理兩兩數兩度 10 異 SPSS 狀 ( 3) 行車車類 6 類車 6 類數類狀 3 7

Guide, 2000 女車車車車車車車便類類車車車行 24 27 兩立兩車 28

8 車六類行車車車女車車來車車 Diamond Mixte 六類六 Diamond 行車力良易行車車度車類 Mixte 車類 Diamond 車力車度車易車車女車車 Staggered Loop U Staggered 車車車率 8

9 力兩料度類 Loop U U 料不車女車六類車行車六來不行車類車車量車類車車車車車車車六車 9

10 2-3-2 行車量量便量不不行車不列數數不不行車 36V 60KG 22 里 24 里 48V 60KG 30 里 24 里來 12V-7AH 6.5cm x 15cm x 10 cm 來說來說 3x cm x 26.2cm x 6.2cm 28.8V-5AH 不列不不車不來見行車輪輪輪車輪輪輪輪易輪輪參數兩行行車例說不車異行女車車度異 1 參數女車度車度量來參數量力便 4 見 10

11 不不車行車不行車了車行不不參數異金 5 金行車參數行車車類類女車車兩車行車車行車車 ( 女車 ) 參數 4 5 行車參數 11

12 4 車輪女車參數參數 Symbol 車 X1 1 2 X2 X3 輪 X4 X5 5 車輪車參數參數 Symbol 車 X1 1 2 X2 X3 輪 X4 X5 12

13 3. 行車參數參數行數數利行行來立 3D 行車行行車行量行車參數了異來參 3-1 了行車參數數來行女車車行參數車 X1 X2 兩 4 X3X4 車 X 度 9 L 行車數 6 7 行車 3D 32 行車 3-2 行車 3D 立了行車參數行車理滑來不車女車車 8 車例參行車 32 行車 3D 了女車車 16 3D 3D 車例狀車例更理 3D 3-3 車 3D 行 3D 理了 3D 車異利車異行車車數 10 離車離行車 6 13

14 6 女車行車參數 No. 車 X 1 X 2 X 3 X 4 X5 1 2 輪 3 4 輪 5 6 輪 7 8 輪 9 1 輪輪輪輪

15 7 車行車參數 No. 車 X 1 X 2 X 3 X 4 X5 1 2 輪 3 4 輪 5 6 輪 7 8 輪 9 1 輪輪輪輪

16 6 車 () 3D () 1:1 行車車 15 量行車車異說 3D 行車車來量來車什來行 32 行車 16

17 4. 論 4-1 行車異 32 行車量量數量 I 類行車異參數了不行車參數異異數 (One way ANOVA) 不行車參數異 8 不行車量異數不異不行車不了了異異 LSDLeast-significant difference 行 Post Hoc Tests 不異異異不異兩異量兩不來了行車數不異行車不了不 4 異行車參數不行車參數 4 量異數 One way ANOVA 立 tindependent Samples Test 不行車 4 異了車異異車車 17

行 Post Hoc Tests 不異異異不異兩異量兩不來了行車數不異行車不了不 4 異行車參數不行

18 (9) 8 不行車量異數易流流行度 18

19 9 行車行車參數行車參數車車車車車車 P 行車了行車異了? 參數量 I 類烈 10 易流流行了行車例女車不 - 女車車 2 車車 1 19

20 10 女車車女車車 ( ) 10 女車數易流流行車車車 11 車數易流流行車車車 20

21 女車說來車行車參 4-3 理行車參數了不行車異 10 7 度量行量不行車數數 60 參量 (n=20) (n=20) (n=20) 易流流行

22 類路不女車車 128 車行車數不理行車參數 13 了異 X 1 車 13 行車參數 X 2 X3 X4 X5 女車車 1 輪女車車 2 輪女車車 2 輪 13 理行車異車女車車車車車車女車車輪女車女車不量異 22

23 不說行車列來良參 23

24 5. 論 5-1 論論行車狀行車行車行車力行車不不行車來不行車行車不行車異來說行車易流流行 (2) 不異異異異行車參數量車異車異車異車行車 (4) 異異不車便異車女車車車車女車車輪女車 24

25 立行車異行行車參 2. 車行車行車車行車車來車度車更行車更 3. 數量 I 類行車來行車參 25

26 參立行車論立論 1994 離冷論離冷 ( 論 1998) 立 ( 論 1998) 聯 1976) 劉行車 - 87A01-02 年度 ( 行車 1998) 劉行車 87A01-03 年度 - ( 行車 1998) 劉 99 年行車 88A01-02 年度 - ( 行車 1999) Jain, Anil K., and Dubes Richard C, Algoritbms for Clustering Data, Prentice-Hall Inc.(New Jersey, 1988), pp. 55~142. Taiwan Bicycle Guide , 輪 2002) 26

18 A B S 17.44±1() ±6.26( ) 54.23±5.5( ) 6.42±1.51() m 30m t α =.05 ( )AB 1 5 (p>.05)( )AB 1 5 (p<.05)( )A (p>.05)( )B (p<.05)( )A B

18 A B S 17.44±1() ±6.26( ) 54.23±5.5( ) 6.42±1.51() m 30m t α =.05 ( )AB 1 5 (p>.05)( )AB 1 5 (p<.05)( )A (p>.05)( )B (p<.05)( )A B The Effect of Different Training Method on Quick Coordination ability in High School Female Soccer Players 18 A B S 17.44±1() 161.39±6.26( ) 54.23±5.5( ) 6.42±1.51() 15 60-90 30m 30m t α =.05 ( )AB 1 5