National Assembly Library

The purpose of this case study is to examine the usability evaluation of the metaverse library, with a central focus on designing around the needs of library users. To achieve this, our study delved into the usability of one such platform, the Community Virtual Library (CVL), focusing on aligning its features with user needs. We assessed the CVL based on Jacob Nielsen’s usability criteria: satisfaction, memorability, learnability, efficiency, and error tolerance, through specific tasks. Our methodology combined interviews, observations, and the System Usability Scale (SUS) to fully grasp the user experience. Furthermore, we explored users’ emotional responses using the Pleasure-Arousal-Dominance (PAD) model, enriching our understanding of their interaction with the platform. Throughout the analysis, we found that participants with metaverse experience showed higher success rates and spent less time on tasks compared to those who did not have such experience. Notably, while the tasks for learnability, focusing on basic functionalities, demonstrated relatively shorter durations, the slightly more intricate efficiency tasks took twice as long, regardless of metaverse familiarity. However, tasks for memorability, involving repetition of efficiency tasks, showed a marginal reduction in task duration. This underscores the potential to enhance usability and efficiency through education and learning initiatives. Meanwhile, the analysis indicated a high level of arousal according to the PAD model, underscoring the metaverse’s appeal in providing unrestricted access to diverse media and creating an engaging and novel environment. This study is expected to contribute significantly to evaluating and improving the usability of metaverse libraries, ultimately increasing user satisfaction and encouraging continued usage. By identifying areas for improvement through comprehensive assessments, we anticipate fostering a more enjoyable and efficient user experience within these virtual library environments.

Background:Quality reporting contributes to effective translation of health research in practice and policy. As an initial step in the development of a reporting guideline for scaling, the Standards for reporting stUdies of sCaling evidenCEd-informED interventions (SUCCEED), we performed a systematic review to identify relevant guidelines and compile a list of potential items.Methods:We conducted a systematic review according to Cochrane method guidelines. We searched the following databases: MEDLINE, Embase, PsycINFO, Cochrane Library, CINAHL, Web of Science, from their respective inceptions. We also searched websites of relevant organizations and Google. We included any document that provided instructions or recommendations, e.g., reporting guideline, checklist, guidance, framework, standard; could inform the design or reporting of scaling interventions; and related to the health sector. We extracted characteristics of the included guidelines and assessed their methodological quality using a 3-item internal validity assessment tool. We extracted all items from the guidelines and classified them according to the main sections of reporting guidelines (title, abstract, introduction, methods, results, discussion and other information). We performed a narrative synthesis based on descriptive statistics.Results:Of 7704 records screened (published between 1999 and 2019), we included 39 guidelines, from which data were extracted from 57 reports. Of the 39 guidelines, 17 were for designing scaling interventions and 22 for reporting implementation interventions. At least one female author was listed in 31 guidelines, and 21 first authors were female. None of the authors belonged to the patient stakeholder group. Only one guideline clearly identified a patient as having participated in the consensus process. More than half the guidelines (56%) had been developed using an evidence-based process. In total, 750 items were extracted from the 39 guidelines and distributed into the 7 main sections.Conclusion:Relevant items identified could inform the development of a reporting guideline for scaling studies of evidence-based health interventions. This and our assessment of guidelines could contribute to better reporting in the science and practice of scaling.

In this paper, we introduce a web archiving system called OASIS(Online Archiving & Searching Internet Sources), which was developed and has been operated by the National Library of Korea. Workflows and process of OASIS are based on the strategy that web sites and individual digital resources for web archiving are collected selectively. We mainly focus on the description of functionalities and characteristics of the system. In addition, we briefly describe the system architecture and data model.