Art exhibition spaces increasingly emphasize visitor experience, yet the relationships among spatial structure, visitor behavior, and emotional response remain unclear. Traditional space syntax analyses typically focus on physical spatial structures, insufficiently capturing visitors’ emotional and cognitive experiences. To address these gaps, this study presents an integrative evaluation framework that combines space syntax theory with multimodal physiological measurements to systematically assess spatial design performance in art exhibition environments. Eye-tracking and heart rate variability (HRV) experiments were conducted to investigate how spatial configuration affects visual attention and emotional responses. Visibility graph analysis, spatial integration metrics, and regression modeling were applied using the third-floor temporary exhibition hall of the Pudong Art Museum in Shanghai as a case study. The results revealed that HRV levels (β = −7.92) were significantly predicted via spatial integration, and the relationship between spatial integration and the number of fixations was partially mediated by HRV (indirect effect: β = −0.36; direct effect: β = 8.23). Additionally, zones with higher occlusivity were associated with more complex scanpaths (mean complexity: 0.14), whereas highly integrated regions triggered more fixations (mean = 10.54) and longer total fixation durations (mean = 2946.98 ms). Therefore, spatial syntax, when coupled with physiological indicators, provides a robust and actionable method for evaluating and optimizing exhibition space design.

This study aims to explore the generation and restoration of Kraak porcelain decorative patterns, employing a stable diffusion model that has been augmented with low-rank adaptation (LoRA) and ControlNet. Kraak porcelain, a historic blue-and-white ceramic traded along the maritime Silk Road, features intricate radial “Kaiguang” patterns that blend Chinese and Islamic artistic styles. The rules governing pattern generation have not been systematically deciphered through traditional methods, and as a result, innovation has remained constrained. The study established a multi-dimensional cultural database of 1530 Kraak porcelain images to facilitate training of a stable diffusion model. The model was fine-tuned using LoRA to adapt to small-sample data and integrated with ControlNet to impose structural constraints via edge maps. Experiments demonstrated that combining LoRA and ControlNet improved structural control over Kaiguang patterns and secondary motifs, validated by metrics like SSIM and PSNR. However, despite the improvement in pattern consistency, difficulties persisted in reproducing fine details and achieving seamless restoration of damaged patterns. Future work will focus on refining incremental learning strategies and fostering interdisciplinary collaboration, with the goal of bridging the gaps between technical implementation and cultural interpretation. Overall, this approach provides a framework for the digital preservation and innovative regeneration of cultural heritage.

Traditional costume travel photography (TCTP) refers to contextualized photography in which tourists wear local traditional costumes at a destination. It represents a way to experience local cultur...