# Deep Learning-Based Imagery Style Evaluation for Cross-Category Industrial Product Forms
## 3 Constructing NTTSSD Paradigms for Imagery Style of Industrial Product Forms
### Quantifying the Imagery Style of Industrial Product Forms Based on Kansei Engineering
#### 3.1.1 Acquisition of Cross-Category Industrial Product Forms

Table 4: _Cont._  
Figure 3: Example of the SD questionnaire format. validate participants' perceptions of diverse product forms, thereby enhancing the accuracy and comprehensiveness of the data. The results were tallied after three different surveys, as shown in Figure 4:  
Survey 1: As shown in Table 5, A total of 243 valid questionnaires were collected, comprising 119 males and 124 females. The results indicated that for the 15 samples with distinct morphologies, each top-scoring imagery style term clearly corresponded to a specific wheel hub morphology. However, for five other samples (numbers 03, 04, 14, 16, and 19) exhibiting more complex morphologies, two imagery style terms may have close scores, reflecting the ambiguity of these morphologies and customers' subjectivity. This result suggests that while certain product forms have a clear semantic direction in user perception, the semantic perception of complex morphologies remains uncertain. Therefore, the visual curvature was adopted to better describe and distinguish the ambiguity of these morphologies. Figure 4: Survey results for 80 samples. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multicolumn{2}{c}{**Number of Surveyed Users**} & \multicolumn{2}{c}{**124 Female**} & \multicolumn{2}{c}{**119 Male**} \\ \hline \multirow{2}{*}{\begin{tabular}{c} **Sample** \\ **Number** \\ \end{tabular} } & \multicolumn{2}{c}{\begin{tabular}{c} **The Proportion** \\ **of Naturalness** \\ **(\%)** \\ \end{tabular} } & \multicolumn{2}{c}{\begin{tabular}{c} **The Proportion** \\ **of Technology** \\ **(\%)** \\ \end{tabular} } & \multicolumn{2}{c}{\begin{tabular}{c} **The Proportion** \\ **of Steadiness** \\ **(\%)** \\ \end{tabular} } & \multicolumn{2}{c}{\
\begin{tabular}{c} **The Proportion** \\ **of Spaffness (\%)** \\ \end{tabular} } & \multicolumn{2}{c}{
\begin{tabular}{c} **The Proportion** \\ **of Dynamism** \\ **(\%)** \\ \end{tabular} } \\ \hline
01 & 8.23 & 6.17 & 3.29 & 27.57 & 1.24 & 53.50 \\
02 & 7.82 & 11.11 & 18.11 & 0.82 & 0 & 62.14 \\
03 & 39.09 & 8.64 & 8.23 & 1.65 & 1.24 & 41.15 \\
04 & 51.44 & 40.33 & 0 & 1.23 & 4.12 & 2.88 \\
05 & 52.26 & 3.29 & 0.41 & 2.06 & 28.81 & 13.17 \\
06 & 8.23 & 4.53 & 0.82 & 12.35 & 65.84 & 8.23 \\
07 & 7.41 & 11.11 & 2.47 & 16.46 & 54.32 & 8.23 \\
08 & 2.06 & 1.65 & 16.87 & 65.02 & 7.82 & 6.58 \\
09 & 0.41 & 2.88 & 12.35 & 77.36 & 1.65 & 5.35 \\
10 & 2.47 & 4.94 & 13.17 & 66.67 & 1.23 & 11.52 \\
11 & 53.50 & 2.06 & 4.12 & 7.41 & 8.23 & 24.68 \\
12 & 1.65 & 6.58 & 0 & 0.41 & 74.49 & 16.87 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: User survey data for 20 wheel hubs. Survey 2: An offline questionnaire survey was conducted with 20 adult males and 20 adult females. As shown in Table 6, over 82% of consumers hold fixed perceptions of certain product patterns. For instance, vases (numbered 32) are typically perceived as having a sense of naturalness, medical devices and kitchen utensils (numbered 23, 22, 25, 26, 29) are often associated with steadiness, whereas sneakers and helmets (numbered 21, 30) convey dynamism. However, perceptions of some household items were ambiguous and uncertain, possibly due to these products' diverse usage scenarios affecting judgment. To further extract the common characteristics of diverse morphologies across different types of products, contour lines, edge transition angles, and visual directions are employed to distinguish morphological differences. This approach facilitates a clear understanding of consumer preferences. Survey 3: This offline interview involved 40 participants (20 males and 20 females). Participants showed significant similarity in their overall perception and feature classification. A total of 90% of users tended to categorize products with various morphologies into unified style categories based on their overall impression.