## 5 Discussion  
This study analyzes whether AI-generated stylized products can attract users' attention more effectively and improve product attractiveness. This study chose wireless Bluetooth in-ear earphones as the entry point. It combined the existing top-selling gender-based stylized earphones on the Taobao shopping platform and AI-generated gender-based stylized earphones. Eye-tracking technology converted the users' eye movement physiological data into numerical data for analysis, and the users' attention to the product was analyzed through eye movement data to assess the attractiveness of the AI-generated products.  
In the experiment combining the AI-generated earphones with the existing earphones on the Taobao shopping platform (group 1 and group 2), there was a significant effect in terms of the fixation duration between the two types of earphones; participants of both genders paid more attention to the AI-generated earphones, which suggests that the AI-generated stylized earphones are more attractive than the existing products.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Category** & **Category Segmentation** & **FC** & **FD(s)** & **F** & \(\mathbf{p}\) & \(\mathbf{\eta}\) \\ \hline \multirow{2}{*}{G} & A\({}_{\text{M}}\) & 260 & 243.4 & \multirow{2}{*}{4.866} & \multirow{2}{*}{0.008} & \multirow{2}{*}{0.129} \\ \cline{2-3} \cline{5-7}  & A\({}_{\text{F}}\) & 255 & 247.433 & & & \\ \hline \multirow{2}{*}{G\({}_{\text{M}}\)} & A\({}_{\text{M}}\) & 130 & 122.684 & \multirow{2}{*}{1.312} & \multirow{2}{*}{0.271} & \multirow{2}{*}{0.092} \\ \cline{2-3} \cline{5-7}  & A\({}_{\text{F}}\) & 133 & 123.633 & & & \\ \hline \multirow{2}{*}{G\({}_{\text{F}}\)} & A\({}_{\text{M}}\) & 130 & 120.716 & \multirow{2}{*}{4.666} & \multirow{2}{*}{0.010} & \multirow{2}{*}{0.182} \\ \cline{2-3} \cline{5-7}  & A\({}_{\text{F}}\) & 122 & 123.801 & & & \\ \hline \hline \end{tabular}
\end{table}
Table 6: Data analysis of male and female participants’ attention to Stimuli group 3.  
Figure 14: (**a**) The fixation duration for the two categories among all participants. (**b**) The fixation duration for the two categories among the female participants.  
In the experiment involving two types of AI-generated gender-based earphones (group 3), there is also a significant effect of the stimulus category in terms of the fixation duration. The AI-generated earphones with a female style were more attractive to the younger group. Viewed from a gender perspective, the female participants paid more attention to the AI-generated earphones for females, whereas the male participants showed no difference in their attention to the two types of earphones.  
This study found that AI-generated earphones have greater appeal than the existing products. Among the AI-generated earphones designed for different genders, the Bluetooth earphones generated for the female group were more popular. This study demonstrates that using AIGC in product design significantly enhances the attractiveness of products, and its creativity and insight into product styling can provide designers with valuable references and assist their design process to a certain degree. Furthermore, beyond earphones, future research will delve deeper into other products to further investigate the potential of integrating AIGC into design practices.