In the era of GenAI, user attitude—shaped by cognition, emotion, and behavior—plays a critical role in the sustainable development of human–AI interaction. Human creativity and intelligence, as core drivers of social progress, are important factors influencing user attitudes. This paper systematically reviews 243 peer-reviewed studies on GenAI user attitudes published since 2019, identifying major research methods and theoretical perspectives, including the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the AI Device Use Acceptance (AIDUA) model. Drawing on contemporary creativity theories—such as Sternberg’s Theory of Successful Intelligence, the 4C Model by Kaufman and Beghetto, and the Dynamic Creativity Framework—we analyze how creativity and intelligence are conceptualized in current studies and how they affect user responses to GenAI. Through cross-cultural analysis and multimodal comparison, this review offers a comprehensive understanding of the interplay between GenAI and human creativity, aiming to support more inclusive and sustainable human–AI collaboration.

This study aims to explore the current state of research and the applicability of artificial intelligence (AI) at various stages of post-traumatic stress disorder (PTSD), including prevention, diagnosis, treatment, patient self-management, and drug development. We conducted a bibliometric analysis using software tools such as Bibliometrix (version 4.1), VOSviewer (version 1.6.19), and CiteSpace (version 6.3.R1) on the relevant literature from the Web of Science Core Collection (WoSCC). The analysis reveals a significant increase in publications since 2017. Kerry J. Ressler has emerged as the most influential author in the field to date. The United States leads in the number of publications, producing seven times more papers than Canada, the second-ranked country, and demonstrating substantial influence. Harvard University and the Veterans Health Administration are also key institutions in this field. The Journal of Affective Disorders has the highest number of publications and impact in this area. In recent years, keywords related to functional connectivity, risk factors, and algorithm development have gained prominence. The field holds immense research potential, with AI poised to revolutionize PTSD management through early symptom detection, personalized treatment plans, and continuous patient monitoring. However, there are numerous challenges, and fully realizing AI’s potential will require overcoming hurdles in algorithm design, data integration, and societal ethics. To promote more extensive and in-depth future research, it is crucial to prioritize the development of standardized protocols for AI implementation, foster interdisciplinary collaboration—especially between AI and neuroscience—and address public concerns about AI’s role in healthcare to enhance its acceptance and effectiveness.

This study aims to assess the global progress in research on the impact of forest therapy on mental health by using bibliometric analysis. We analyzed the relevant literature from the Web of Science Core Collection (WoSCC) database by utilizing software tools such as Bibliometrix (Version 4.1), VOSviewer (Version 1.6.19), and CiteSpace (Version 6.3.R1). There appears to be a growing trend in annual publication volumes from 2006 to 2023. Miyazaki was identified as the most prolific author in this field. Japan and South Korea lead in research contributions, while China has the highest number of publications. The International Journal of Environmental Research and Public Health is the journal with the most publications and citations in this area. Recent keyword clustering reveals an increasing frequency of studies on anxiety and urban green spaces. Research findings suggest that exposure to negative air ions and compounds released by plants can stimulate the five human senses, reduce cortisol levels, and improve mental health. Although studies have demonstrated significant effects of forest therapy in alleviating stress, anxiety, and depression, more large-scale and long-term studies are needed for further evidence. Additionally, it is crucial to explore the impact of different forest types, terrains, altitudes, climates, and air conditions on the effectiveness of forest therapy on mental health.