## 3 Materials and Methods
### Eye-Tracking-Guided Acquisition of Product Styling Samples
#### 3.3.2 Operational Procedure of the Eye-Tracking Experiment
The specific statistical results are as follows: for fixation counts, repeated-measures ANOVA revealed a significant main effect of AOIs, F(3, 87) = 1737.585, \(p\) < 0.001, np\({}^{2}\) = 0.984. Post-hoc tests indicated significantly higher fixation counts on the front compared to the side, top, and bottom (all \(p\) < 0.001), higher counts on the side versus top and bottom (both \(p\) < 0.001), and higher counts on the top versus bottom (_p_ < 0.001). Regarding fixation duration, a significant AOI main effect emerged, F(3, 87) = 5549.635, \(p\) < 0.001, np\({}^{2}\) = 0.995. The front exhibited significantly longer durations than the side, top,  
Figure 8: Eye movement hot spot map of the industrial cleaning robot shape. Figure 9: Eye movement trajectory diagram of the industrial cleaning robot shape. and bottom (all \(p\) < 0.001), the side exceeded the top and bottom (both \(p\) < 0.001), and the top surpassed the bottom (\(p\) < 0.001). For time to first fixation, ANOVA showed a significant AOI effect, F(3, 87) = 1171.328, \(p\) < 0.001, \(\mathrm{np}^{2}\) = 0.976. First fixations occurred significantly earlier on the front than on the side, top, and bottom (all \(p\) < 0.001), earlier on the side than top and bottom (both \(p\) < 0.001), with no significant difference between top and bottom (\(p\) > 0.05). In first fixation duration, a significant AOI main effect was observed, F(3, 87) = 296.304, \(p\) < 0.001, \(\mathrm{np}^{2}\) = 0.911. The front showed significantly longer first fixation durations than top, side, and bottom (all \(p\) < 0.001). No significant difference existed between top and side (\(p\) > 0.05), though both exceeded the bottom (both \(p\) < 0.001). Regarding fixation sequence, sequential indices (1-4) were averaged across participants for each sample, with lower values indicating earlier fixation order. The final mean sequence was: front (M = 1.52) > side (M = 2.11) > top (M = 2.83) > bottom (M = 3.54). To sum up, following repeated-measures analysis of variance (RM-ANOVA) on fixation count, fixation duration, time to first fixation entry, and first fixation duration, results revealed high consistency in distribution patterns between fixation count and duration. Specifically, both metrics were significantly higher in the front facial region than other areas of interest (AOIs), followed by the side facial region, with the top and bottom AOIs demonstrating the lowest values. All differences reached statistical significance, indicating participants' visual attention was predominantly allocated to front and side facial regions. Analysis of time to first fixation entry and first fixation duration further demonstrated that participants fixated earlier on front and side facial AOIs than top/bottom AOIs during initial exposure. Prolonged first fixation durations on front/side facial regions additionally confirmed participants' initial attention concentrated on these areas. Synthesizing these four metrics, we conclude that attention allocation across AOIs followed the hierarchy: front > side > top > bottom. To validate this hierarchy, statistical analysis of mean rank ordering across all samples within four AOIs was performed. Results confirmed the identical attention pattern (front > side > top > bottom), reinforcing the validity of the prioritization derived from the four ocular metrics. During screening of attention levels across all design samples, fixation duration was adopted as the primary indicator based on established research consensus that it represents the most effective measure of attentional engagement [23]. Consequently, participant-averaged mean values were calculated for fixation duration across all samples. Utilizing these averaged results from Table 4, the priority ranking of attention allocation for all styling samples was systematically established. To construct a styling design element repository for industrial cleaning robots, the \"majority inclusion principle\" was applied statistically to retain the top 50% fixation-priority samples [28; 29].