# 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
Based on the comprehensive scoring results, six representative imagery style terms were ultimately identified: steady, soft, dynamic, tough, technological, and natural. These imagery style words serve as highly approximate representations of product forms, which can be represented using set inclusion relationships:  
\[ \begin{array}{l}\{\text{demure, formal, heavy}\}\subseteq\text{steady}\\ \{\text{amiable, rounded, cute}\}\subseteq\text{soft}\\ \{\text{sportive, lively, flexible}\}\subseteq\text{dynamic}\\ \{\text{masculine, geometric, shark}\}\subseteq\text{tough}\\ \{\text{future, advanced, trendy}\}\subseteq\text{technological}\\ \{\text{bionic, organic, brisk}\}\subseteq\text{natural}\end{array}  \tag{5}\]  
\begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Product Images**} & \multirow{2}{*}{ \begin{tabular}{c} **Imagery Style** \\ **Vocabulary** \\ \end{tabular}  } & \( \begin{array}{c}D_{m}^{u+}\\ **(Positive Ideal** \\ **Solutions)** \\ \end{array}  & \( \begin{array}{c}D_{m}^{u-}\\ **(Negative Ideal** \\ **Solutions)** \\ \end{array}  & \( \begin{array}{c}C_{m}^{u}\\ **(Comprehensive** \\ **Evaluation Score)** \\ \end{array} \) \\ \hline \multirow{4}{*}{ \begin{tabular}{c} **Business Car** \\ \end{tabular}  } & \ \begin{tabular}{c} \text{Sof}\\ **Amiable** \\ **Rounded** \\ **Quiet** \\ **Urbane** \\ **Mini Car** \\ \end{tabular}  &
\begin{tabular}{c} 0.115 \\ 0.163 \\ 0.381 \\ 0.332 \\ 0.381 \\ 0.332 \\ 0.381 \\ 0.332 \\ 0.332 \\ 0.332 \\ 0.332 \\ 0.332 \\ 0.332 \\ 0. 1.3. Experimental Design of User Preference Using a Three-Stage Semantic Differential (SD) Questionnaire Survey  
To mitigate participant fatigue and potential bias arising from information overload in the SD questionnaire, we refined the six imagery style terms (Steady, Soft, Dynamic, Tough, Technological, Natural) into more accessible sensory descriptors (Naturalness, Technology, Toughness, Steadiness, Softness, Dynamism). Each respondent selected one term to best represent their perception. The design of the questionnaire is illustrated in Figure 3.  
This study employed a three-phase approach to investigate 80 product form samples, ensuring comprehensiveness, accuracy, and diversity of data, as shown in Figure 2. In the first phase, an online SD questionnaire was used to survey images of wheel hubs numbered 01 to 20, providing a preliminary assessment of participants' perceptions of specific product types and laying the groundwork for subsequent research. The second phase involved selecting 20 popular product forms, with image numbers ranging from 21 to 40, where user perceptions of different product types were collected through offline questionnaires to ensure practical value and representativeness of the results. In the third phase, eight representative industrial products were selected, with serial numbers ranging from 41 to 80, including 5 helmets, 5 coffee machines, 5 hairdryers, 5 humidifiers, 5 loudspeakers, 5 vases, 5 cars, and 5 lamps, resulting in a total of 40 samples, which were subsequently used for an offline user survey. This phase aimed to further refine and \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Product Images**} & \multirow{2}{*}{
\begin{tabular}{c} **Imagery Style** \\ **Vocabulary** \\ \end{tabular} } & \(D_{m}^{m+}\) & \(D_{m}^{m-}\) & \(C_{m}^{m}\) \\  & & **(Positive Ideal** & **(Negative Ideal** & **(Comprehensive** \\  & & **Solutions)** & **Solutions)** & **Evaluation Score)** \\ \hline \multirow{5}{*}{Intelligent car} & Technological & 0.115 & 0.938 & 0.890 \\  & Advanced & 0.183 & 0.837 & 0.821 \\  & Future & 0.141 & 0.906 & 0.865 \\  & Trendy & 0.261 & 0.797 & 0.753 \\  & High-end & 0.381 & 0.667 & 0.637 \\  & Peculiar & 0.424 & 0.616 & 0.592 \\ \hline \multirow{5}{*}{Sports Car} & Natural & 0.082 & 0.970 & 0.922 \\  & Bionic & 0.115 & 0.938 & 0.890 \\  & Organic & 0.183 & 0.837 & 0.821 \\  & Brisk & 0.381 & 0.667 & 0.637 \\  & Ecological & 0.529 & 0.529 & 0.500 \\ \cline{1-1}  & Comfortable & 0.424 & 0.616 & 0.592 \\ \hline \hline \end{tabular}
\end{table}