The transformation of social development modes has led to profound changes in the pattern of intangible cultural heritage, while simultaneously posing significant challenges to its preservation. The rapid development of artificial intelligence (AI) technology has brought new development opportunities in various research fields. This study intends, by constructing and evaluating a theoretical model, to investigate whether AI-generated cultural and creative products can promote the sustainability of intangible cultural heritage. The central focus of this research is to measure the effectiveness of AI technologies in promoting the sustainability of intangible cultural heritage. The context of the research design is rooted in the attention, interest, search, action, and share (AISAS) model, incorporating theories of perceived value and cultural identity, to forecast the long-term viability of AI-generated cultural and creative products in the promotion of intangible cultural heritage. This research was conducted in Tianjin, China and carried out using quantitative methods, a questionnaire survey, and the accidental sampling method, taking a sample of 291 participants for analysis. The results show that 1) the attraction of and interest and participation in AI-generated Yangliuqing New Year Print cultural and creative products have a positive effect on perceived value; 2) the purchase and sharing of these products have a positive impact on cultural identity; 3) the perceived value has a positive impact on cultural identity; and 4) cultural identity has a positive impact on the sustainability of intangible cultural heritage. This study contributes to the theoretical development and practical application of the AISAS model and offers valuable insights into the future development trajectory of intangible cultural heritage, thereby promoting its sustainability. The limitations of this study are its small sample size and geographical restrictions. In future studies, the sample size will be expanded and will include more regions for data analysis.

This study aimed to determine the quality type and importance ranking of hospital signage systems’ usage requirements using the Kano model. This study collected data from 300 users in three hospitals in Guangzhou and evaluated 32 metrics of hospital signage systems. The Kano model questionnaire was used to analyze the quality type of each demand indicator, and the better–worse coefficient was used to calculate the sensitivity and importance ranking of the demand. Of the 32 attributes evaluated by participants, 4 are must-be quality (M), 4 are one-dimensional quality (O), 12 are attractive quality (A), and 12 are indifferent quality (I). The results of this study suggest that the presence of most of the evaluated attributes is associated with maintaining a level of user satisfaction, and the lack of these attributes causes user dissatisfaction. There is a strong demand for basic usage functions and an easy-to-use hospital signage system. In addition, users often wish to add and improve signage functions and have greater expectations for the inclusion of features such as digital intelligence and regional culture in this study. The results of this study show that the Kano model can better derive the user requirements for hospital signage systems and can promote the improvement of hospital signage systems in a more targeted manner, according to the quality type and importance of requirements, providing a research basis for the sustainable development of healthcare services.

Wayfinding in complex environments is a public issue facing the world and has become a hot research topic in recent years. This article reviews and quantitatively analyzes the literature on wayfinding in healthcare facilities and collates the research trends and hotspots in this area. The article used bibliometric analysis to search keywords in the Scopus database in the TITLE-ABS-KEY format. In total, 2359 articles were finally collated between 1974 and 2020 after three screening exercises, and a co-citation analysis was conducted by VOSviewer literature visualization analysis software. Research in the worldwide literature on wayfinding in healthcare facilities has grown steadily year on year since 2002. Computer science (21.5%) and social science (15.5%) are the most common subject categories, with the United States (N = 767) accounting for the largest proportion of research. “Lecture Notes In Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics” is the most active journal in terms of publications (N = 169). Wayfinding cognition, wayfinding behavior, and individual and group differences are currently the focus of research in the field of healthcare facilities. Future research on wayfinding in healthcare facilities will further investigate intelligent assistive technologies and universal designs such as universal signage systems. In addition, cross-cultural-based wayfinding research is a hot topic for future studies where the boundaries of research are broadened and have practical value.

Wayfinding in hospitals today is a significant challenge for urban residents, especially for the elderly. This study investigated the perceptions and attitudes of the elderly toward existing hospital signage systems to identify the wayfinding needs in the healthcare environment. This study collected 762 elderly participants' perceptions and personal preferences regarding 12 features of the existing signage systems in three hospitals in the Yuexiu, Haizhu, and Liwan districts of Guangzhou using a questionnaire methodology. The study further explored the differences in perceptions and preferences for signage based on the gender, age, and educational level of the elderly participants. The findings indicate that most of the elderly participants experienced becoming lost in the hospital; they typically chose to ask others for directions first, followed by using the signage system. Most of the elderly participants had positive attitudes toward the current hospital signage system. Furthermore, they emphasized the importance of the signage system's graphics, texts, colors, and updates, which directly affects the readability and comprehensibility of signs. We found gender differences in perceptions and attitudes toward signage; male participants had more positive attitudes toward the hospital signage systems than female participants. Additionally, consistent with previous findings, the older the age of participants, the less comprehension they had regarding signage graphic symbols. We also found that the more educated elderly participants were, the more understanding of signage they had. At the same time, however, they were less satisfied, which is possibly because the more educated they were, the more aware they were of signage issues.

The objective of this study is to evaluate users’ perceptions and preferences on the design features of the COVID-19 prevention promotion icon from the perspective of users’ aesthetic and perceptual needs. In this study, 120 officially published icons from 24 countries and regions were collected from online platforms for ranking tests, and then the top-ranked icons were subjectively rated by the semantic differential method. By evaluating the quality of users’ perceptions of multiple semantic dimensions of icons, we extracted the perceptual semantic words that users valued as the main icon design features. Spearmen correlations were applied to derive possible correlations between user rankings and semantic scales, and a Friedman test was also conducted to determine the true differences in user perceptions and preferences for different styles of icons. Factor analysis was conducted to extract six perceptual words that influence the design features of the COVID-19 prevention promotion icon. The methodology adopted in this study facilitated the screening of design features related to icon effectiveness, and the findings show that “Interesting,” “Simple,” “Familiar, “Recognizable,” “Concrete,” and “Close(semantic distance)” are the key features that influence users’ perception and preference of COVID-19 icon design. The results of this study can be used as the basis for designing and improving publicity icons for preventive measures in COVID-19, and the methods adopted in this study can be applied to evaluate other types of icon design.

Research on Evaluation Method of Wayfinding Signs in Medical Institutions Based on Mobile Network Intelligent Navigation: With the rapid development of our countrys economy, there has been a phenomenon of population concentration and centralization of medical institutions. At the same time, with the continuous development and improvement of medical disciplines, large-scale general hospitals have become more comprehensive and larger in area. Therefore, hospital users often get lost in the public space of the hospital. Therefore, the purpose of this article is to study the evaluation method of wayfinding signs in medical institutions based on mobile network intelligent navigation. This article first analyzes the research status of navigation signs in medical institutions and then introduces the current wayfinding behaviors of large general hospitals, and analyzes the problems and deficiencies in them. On this basis, the intelligent navigation is researched and designed. This article systematically expounds the main characteristics of hospital users pathfinding behavior, the spatial order of the process, and the hierarchy of pathfinding behavior, and uses questionnaire survey, field survey, and other research forms to carry out experimental research on the theme of this article. Studies have shown that the hospitals public organization space model will directly affect the efficiency of people seeking medical care.