Title Page
Abstract
Contents
Chapter 1. Introduction 15
1.1. Research background and outline 15
1.2. Dissertation outline 20
Chapter 2. Literature review 23
2.1. Variability in drivers' preferred seat positions 23
2.2. Preference accommodation level evaluation methods 26
Chapter 3. Investigation on the characteristics of driver-selected seat positions 28
3.1. Introduction 28
3.2. Data collection 33
3.3. Data processing and analyses 38
3.3.1. Indices for characterizing the DSSP cloud of each driver 38
3.3.2. Statistical analyses 46
3.4. Results 48
3.4.1. Descriptive statistical analyses 48
3.4.2. Multivariate normality tests 55
3.4.3. Correlation analyses 57
3.5. Discussion 61
Chapter 4. Development of an accommodation level evaluation method for the design of adjustable products 73
4.1. Introduction 73
4.2. Methods 77
4.2.1. Individual accommodation level evaluation 77
4.2.2. Point estimation of population accommodation level 80
4.2.3. Interval estimation of population accommodation level 85
4.3. Case study 89
4.3.1. Problem definition 89
4.3.2. FPC dataset 90
4.3.3. Accommodation level evaluation and comparison 95
4.4. Discussion 101
Chapter 5. Development of an accommodation level evaluation method for the design of non-configurable products 103
5.1. Introduction 103
5.2. Methods 106
5.2.1. Data collection 106
5.2.2. Accommodation level evaluation and validation 106
5.3. Case study 108
5.3.1. Problem definition 108
5.3.2. Data collection for the case study 109
5.3.3. Results of the case study 111
5.3.4. Validation of the case study results 112
5.4. Discussion 115
Chapter 6. Conclusion 117
6.1. Research summary 117
6.2. Future research directions 120
Bibliography 125
국문초록 135
Table 3.1. Summary of demographic and anthropometric data of the drivers. 35
Table 3.2. List of indices employed for characterizing the DSSP cloud of each driver. 38
Table 3.3. Pearson correlation coefficients between the indices (Indices 2~6). 58
Table 3.4. Pearson correlation coefficients between each index (Indices 2~6) and each of the anthropometric variables. 60
Table 4.1. The characteristics of each adjustable range design considered. 94
Table 4.2. Point and interval estimates of Ap for the three given adjustable range designs.[이미지참조] 98
Table 5.1. Descriptive statistics of the participants' personal variables. 109
Table 5.2. Validation results using the Jackknife method. 113
Figure 1.1. The overall structure of the dissertation. 22
Figure 3.1. A graphical illustration of the seating buck used for data collection: reference points (in red), recorded seat positions (in blue), and available... 34
Figure 3.2. An example MAEE created from a DSSP cloud (dots). 39
Figure 3.3. Example DSSP clouds with (a) a single mode and (b) two modes. 41
Figure 3.4. An example DSSP cloud with a positive MAEE angle (shown as theta) of 42°. 44
Figure 3.5. The single case of bimodal DSSP cloud produced by Driver 1. 48
Figure 3.6. Two visualizations of MAEE area: (a) histogram of MAEE area, and (b) multiple-bar graph of MAEE area of the 107 drivers. 50
Figure 3.7. A histogram of MAEE length-width ratio. Below each bin is an ellipse or a pair of ellipses with the corresponding length-width ratios of the bin. 51
Figure 3.8. A histogram of MAEE angle. Bold ellipses represent the median angle of the respective bin, and dotted ellipses behind the bold ellipses represent the... 52
Figure 3.9. A scatterplot of MAEE centroids. 53
Figure 3.10. A chi-square Q-Q plot for the entire DSSP dataset. 55
Figure 4.1. A graphical representation of Ai (shaded area).[이미지참조] 78
Figure 4.2. A graphical representation of an individual's FPCs and their accommodation based on a given adjustable range. 80
Figure 4.3. A graphical representation of Ap (shaded area).[이미지참조] 81
Figure 4.4. A graphical representation of At obtained from a sample of individuals and their accommodation based on a certain predetermined accommodation threshold[이미지참조] 83
Figure 4.5. An illustration of the seating buck used for the data collection along with landmarks and distances used for recording the preferred seat positions. 91
Figure 4.6. A plot with the three adjustable range designs considered (quadrilaterals with corresponding design numbers) and the preferred seat... 93
Figure 4.7. Four examples of At computed (for Drivers 25, 28, 52, and 88) using Design 3 (green quadrilateral) based on each participant's preferred seat positions (dots).[이미지참조] 96
Figure 4.8. 95% confidence interval plots of Ap for the three given adjustable range designs, with asterisks indicating the statistically significant results of...[이미지참조] 99
Figure 5.1. Each participant's preferred range of brake pedal positions and the optimal brake pedal position (red horizontal line). 111
Figure 5.2. A schematic diagram of the Jackknife method employed. 112