基于文献计量学的博物馆体验设计研究综述

Review of Museum Experience Design Research Based on Bibliometrics

中文关键词: 博物馆  体验设计  文献计量学  知识图谱  CiteSpace  VOSviewer

英文关键词: museum  experience design  bibliometrics  knowledge map  CiteSpace  VOSviewer

中文摘要:

      目的 了解全球范围内博物馆体验设计研究的全局特点,掌握当前博物馆体验设计的主要研究热点和理论基础,并针对当前的研究热点探讨未来发展新趋向。方法 以Web of Science收录的博物馆体验设计资料与文献为主要数据源，并以科学文献计量的方式综合利用VOSviewer与CiteSpace从科学文献的年份与产出分布、国家、研究机构、作者、参考文献共被引情况和

英文摘要:

      The work aims to comprehensively understand the global characteristics of museum experience design research, grasp the main research focus and theoretical foundations in museum experience design, and explore emerging trends for future development according to the current research hotspots. With museum experience design literature and materials indexed in the Web of Science as the main data, the scientific bibliometrics method combined with VOSviewer and CiteSpace, was employed to draw the scientific knowledge map from the aspects of the year and output distribution of scientific literature, the co-citation of countries, research institutions, authors, references and Keywordclustering, and the visual analysis was made to sort out the research context. The results revealed an overall upward trend in the number of publications within the search scope, with leading research positions held by countries such as the United States, the United Kingdom, and China. Research hotspots primarily focused on visitor studies, participatory museums, the application of digital interactive technologies in cultural heritage, user experience, and acceptance studies, as well as online museum education. Highly cited publications constituted the primary knowledge foundation for museum experience design, forming a cohesive thread throughout a significant portion of research content. In conclusion, museum experience design research exhibits a strong interdisciplinary nature. Future research is anticipated to emphasize emotional experiences, interactive engagement, and application of intelligent technologies. Emerging industry trends include, but are not limited to, deep digital experiences, personalized user experiences, immersive intelligent environments, and cross-disciplinary collaborations and innovations. The primary limitations at the current research stage include less-than-optimal collaboration among research institutions and a limited number of highly productive authors.