## 3 Detailed Design of Automotive Interior CMF
### Kansei Data Analysis
#### 3.3.2 Establishing the Mapping Relationship between the CMF Design Elements and Kansei Words
Multiple linear regression analysis was performed using SPSS ver.26.0 software. During calculation, the forced entry method was adopted and all variables were included in the regression model for comprehensive analysis. It was detected that the determination coefficients were all greater than 0.8, indicating the high reliability of the regression. Besides, all variance inflation factor values were lower than 2.1, indicating that there was no collinearity. Tables 5 and 6 lists the results of multiple linear regression analysis, and the results of the four groups were presented. It is noted that each design element in the tables corresponds to a score, which means the correlation coefficient between the element and a Kansei word. The negative score value means the words on the left of the phrase could describe the design element well, and vice versa. For instance, the seat color of black or off-white shows the users' a sense of simplicity. The value of the partial correlation coefficient (PCC) in the tables represents the contribution of each experimental group to the overall prediction. A large partial correlation coefficient means the experimental group has a great impact on Kansei words. For instance, seat color has the greatest influence on the phrase of \"complex vs. concise\". The possible explanation is that the seat occupies a large visual space in the automotive interior, which may be much easier to affect the perceptions of users. \begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Testing Group**} & \multirow{2}{*}{**Design Element**} & \multicolumn{2}{c}{**Hard vs.**} & \multicolumn{2}{c}{**Complex vs.**} & \multicolumn{2}{c}{**Traditional vs.**} & \multicolumn{2}{c}{**Dangerous vs.**} & \multicolumn{2}{c}{**Affictive vs.**} \\  & & & **Soft** & \multicolumn{2}{c}{**Concise**} & \multicolumn{2}{c}{**Technological**} & \multicolumn{2}{c}{**Safe**} & \multicolumn{2}{c}{**Comfortable**} \\ \cline{3-11}  & & **Score** & **PCC** & **Score** & **PCC** & **Score** & **PCC** & **Score** & **PCC** & **Score** & **PCC** \\ \hline \multirow{5}{*}{Group A} & A1 & \(-1.60\) & & \(-2.19\) & & \(-0.11\) & & \(-0.33\) & & \(-0.37\) & \\  & A2 & \(-0.10\) & & \(-1.97\) & & \(-0.30\) & & \(-0.12\) & & \(-0.32\) & \\  & A3 & \(0.42\) & & \(-0.63\) & & \(0.99\) & & \(-0.37\) & & \(-0.83\) & \\  & A4 & \(1.66\) & & \(-2.67\) & & \(-1.20\) & & \(0.51\) & \(-0.23\) & \(-0.42\) & \(-0.82\) & \\  & A5 & \(-0.70\) & & \(0.91\) & & \(0.83\) & & \(0.11\) & \(-0.42\) & \(0.53\) & \\  & A6 & \(-0.60\) & & \(-0.45\) & & \(-1.26\) & & \(0.09\) & & \(0.38\) & \\  & A7 & \(-0.77\) & & \(0.99\) & & \(-0.33\) & & \(0.75\) & & \(0.45\) & \\  & A8 & \(1.26\) & & \(-1.11\) & & \(-1.24\) & & \(-0.18\) & & \(-0.67\) & \\ \hline \multirow{5}{*}{Group B} & B1 & \(-0.37\) & & \(-1.71\) & & \(0.78\) & & \(-0.79\) & & \(-1.12\) & \\  & B2 & \(0.48\) & & \(0.94\) & & \(0.69\) & & \(-0.32\) & & \(-0.34\) & \\ \cline{1-1}  & B3 & \(1.53\) & & \(0.57\) & & \(1.24\) & & \(-0.32\) & & \(-0.95\) & \\ \cline{1-1}  & B4 & \(0.99\) & \(0.47\) & \(-0.11\) & \(-0.38\) & & \(1.43\) & \(0.54\) & \(0.2\) & \(-0.45\) & \(0.28\) & \\ \cline{1-1}  & B5 & \(1.34\) & & \(-1.06\) & & \(1.61\) & & \(0.28\) & & \(0.28\) & \\ \cline{1-1}  & B6 & \(0.84\) & & \(0.97\) & & \(-0.36\) & & \(0.17\) & & \(0.03\) & \\ \cline{1-1}  & B7 & \(1.01\) & & \(1.23\) & & \(0.74\) & & \(-0.06\) & & \(-0.41\) & \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Results of multiple linear regression analysis (Seat group). Table 7 showed the representative design elements under each Kansei word derived from Tables 4 and 5. In the table, \"hard\" represents the rational aesthetics and pragmatic design style, which were pursued by modern young users. For example, the interior space formed by all black highlights the sense of superlatives and cold, whose coldness and hardness can be diluted with some wine red added, creating a sense of warm feeling. This is consistent with the finding of [PERSON] et al.