The post-occupancy evaluation process is pivotal for assessing the performance of indoor and outdoor living environments after occupation. This evaluation involves a multifaceted analysis, encompassing energy efficiency, indoor environmental quality, outdoor spaces, and occupant satisfaction. Despite the inherent advantages and potential applicability of post-occupancy evaluation in residential buildings, the lack of uniformity in research methodologies, data collection techniques, investigative approaches, and result interpretation has impeded cross-comparisons and method replication. In a concerted effort to enhance the understanding of prevailing post-occupancy evaluation methodologies, this study undertook a comprehensive systematic literature review of post-occupancy evaluation practices within the residential domain from 2000 to 2023. The results unequivocally underscored the pervasive lack of consistency in methodological applications, tool deployment, and data reporting across diverse post-occupancy evaluation investigations. The objectives of this review aimed to examine the existing post-occupancy evaluation (POE) methods, assess occupant-centric thermal comfort, evaluate the impact of POE feedback on building design, and develop recommendations for architects, engineers, facility managers, and policymakers on leveraging POE feedback to enhance thermal comfort and energy efficiency in buildings. This study offers critical insights into advocating for a more standardized and cohesive post-occupancy evaluation approach. The findings of this review can direct the establishment of a coherent and consistently implemented post-occupancy evaluation framework within the realm of residential architecture.

From the perspective of image narrative, this article explores the application effect of image-generative artificial intelligence in the creation of children's digital picture books. By comparing and analyzing the performance of images generated by image-generative artificial intelligence in terms of spatial layout, color language and graphic and text mutual interpretation, it examines the transmission of the current children's digital picture book story emotions. And the effect of immersive reading. Combined with the development trend of artificial intelligence technology and the characteristics of multi-modal interaction and entertainment of children's digital reading, the problems and suggestions of artificial intelligence technology in the creation of children's digital picture books are put forward. Experiments have found that children's digital picture books generated by artificial intelligence are more variable in terms of picture space layout, richer picture details, and have better dynamic expression; in terms of color atmosphere and style optimization, they are more flexible and have a stronger visual impact, making the picture book more attractive; in terms of graphic and text combined with narrative, they achieve image Interrelation with words to enhance the emotional expression of the story.