نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری علم اطلاعات و دانششناسی، دانشگاه اصفهان، اصفهان، ایران
2 دانشجوی دکتری علم اطلاعات و دانش شناسی، دانشگاه اصفهان، اصفهان، ایران
3 معاونت کتابخانه مرکزی دانشگاه قم و کارشناس ارشد علم اطلاعات و دانش شناسی، دانشگاه قم، قم، ایران.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Purpose: With the rapid integration of artificial intelligence into the realm of digital libraries, the paradigm of "user experience writing" has evolved from a secondary element into a critical tool for human-system interaction. However, the scientific structure and evolutionary trajectory of this emerging field remain largely unexplored. This study aims to map the intellectual landscape, identify conceptual clusters, and analyze latent trends at the intersection of AI and user experience in digital libraries.
Method:The present study was conducted with a scientometric approach and a descriptive-applied method. Bibliographic data were collected from the Scopus database between 1998 and 2025 using a combined search strategy including three conceptual blocks: "digital library", "artificial intelligence", and "user experience". After extracting 164 scientific documents, manual filtering was performed by the researcher by examining the title and abstract to select 123 relevant scientific documents. Data analysis was performed using R. Studio software and the bibliometrix package through the Biblioshiny graphical interface. DeepSeek artificial intelligence was also used solely to formulate the search strategy and edit the text, and all scientific analyses and conclusions were performed by the researcher.
Findings:The scientometric findings of this study show that scientific production in the field of artificial intelligence and user experience writing in digital libraries has been exponential since 2010 and reached its peak (23 articles) in 2025. The United States of America with 24 articles and Michigan State University were identified as the most productive country and institutional affiliation. Knox, L.A. with 8 articles and Araswari, J.H. have the most citations. Lecture Notes in Computer Science, Higher Education Courses, with 10 articles, is the most frequently used journal in this field. The keywords “user experiences” (25), “user interface” (16), “artificial intelligence” (16), and “human-computer interaction” (15) were the most frequent terms. Cluster analysis revealed five thematic clusters: “User Experience and Interaction,” “Artificial Intelligence and Learning Systems,” “Technical Communication and Education,” “Engineering Education and Digital Learning,” and “Design Thinking.” The strategic diagram showed that the “User Experience and Interaction” and “Artificial Intelligence” clusters, as the main drivers of the field, are the most important and developed, while “Design Thinking” was identified as an emerging topic with high future research potential. The overall structure of the outputs suggests that user experience plays the role of a “connector” between smart technologies and human needs, and this field requires a multi-layered and interdisciplinary approach.
Conclusion: The research domain of "AI in library user experience" is transitioning from a technical approach toward a strategic imperative. A pronounced gap persists between "AI developers" and "information science specialists." Also, the integration of user experience writing with AI technologies in digital libraries is not merely a technical endeavor but a complex socio-technical undertaking that demands coordinated attention to pedagogical strategies, ethical considerations, and human-centered design principles.
کلیدواژهها [English]
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