Library & Information Science Research最新文献

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Virtual reality as a tool to alleviate library anxiety and promote service knowledge acquisition among visually impaired students 以虚拟实境为工具，减轻视障学生的图书馆焦虑，促进他们获取服务知识

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2025-04-01 DOI: 10.1016/j.lisr.2025.101357

Yakannut Yensathit , Natchaya Wongwan , Pakinee Ariya , Kannikar Intawong , Kitti Puritat

Visually impaired students often face significant anxiety when navigating library services, which can hinder their academic success. This study examines the effectiveness of a Virtual Reality application, Virtual Reality for Impaired Students in Library Services (VR-ISLS), designed to reduce library anxiety and enhance the acquisition of knowledge about library services for visually impaired students at a university in Thailand. Using a mixed-methods sequential explanatory design, the study integrates both quantitative and qualitative data to evaluate the application's impact. The findings indicate that VR-ISLS significantly increased students' knowledge of library services and reduced library anxiety, particularly by improving familiarity with library resources. However, challenges remain regarding interactions with library staff and overcoming emotional barriers. Recommendations for improvement include customizable features such as audio cues, adjustable text sizes, enhanced contrast settings, and customizable audio speeds. This study highlights the potential of using VR technology to create inclusive, accessible learning environments and offers practical insights into utilizing assistive technologies to reduce barriers for visually impaired students.

视障学生在使用图书馆服务时经常面临严重的焦虑，这可能会阻碍他们的学业成功。本研究考察了虚拟现实应用程序“图书馆服务中残疾学生的虚拟现实”（VR-ISLS）的有效性，该应用程序旨在减少图书馆的焦虑，并增强泰国一所大学视障学生对图书馆服务的了解。本研究采用混合方法序贯解释设计，整合定量与定性资料来评估应用程式的影响。研究结果表明，虚拟图书馆服务显著增加了学生对图书馆服务的认识，并减少了图书馆焦虑，特别是通过提高对图书馆资源的熟悉程度。然而，在与图书馆工作人员的互动和克服情感障碍方面，挑战仍然存在。改进建议包括可定制的特性，如音频提示、可调整的文本大小、增强的对比度设置和可定制的音频速度。这项研究强调了使用VR技术创造包容、无障碍学习环境的潜力，并为利用辅助技术减少视障学生的障碍提供了实用的见解。

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引用次数: 0

Learning from digital disorientations: Navigating virtual and physical spaces in library and information science research during lockdowns and beyond 从数字迷失中学习：在封锁期间和之后的图书馆和信息科学研究中导航虚拟和物理空间

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2025-01-01 DOI: 10.1016/j.lisr.2025.101340

Travis L. Wagner , Kaitlin Montague , Vanessa L. Kitzie , Marie Radford , Bradley Wade Bishop

The forced shift to virtual-first data collection resulting from the COVID-19 pandemic consequentially impacted Library and Information Science (LIS)-based qualitative and mixed methods researchers. Further, the ongoing presence of the COVID-19 pandemic forever altered the perceived norms and values of conducting research within virtual, as opposed to, physical environments. To understand the unique impacts of COVID-19 on virtually mediated LIS research this paper conducted four comparative case studies regarding the challenges and success of forced virtual research. Findings reveal that although a sudden shift from physical to virtual methods may not occur again, pandemic period research resulted in innovations related to accessibility and inclusivity using existing technologies. The pandemic also reinforced the unique role that LIS scholarship and praxis played in ensuring ethical and sustained research protocols from the planning stages through distributing and curating data for writing and publishing findings.

COVID-19大流行导致的数据收集被迫转向虚拟优先，这必然影响了基于图书馆和信息科学（LIS）的定性和混合方法研究人员。此外，2019冠状病毒病大流行的持续存在永远改变了在虚拟环境（而不是物理环境）中进行研究的公认规范和价值观。为了了解COVID-19对虚拟介导的LIS研究的独特影响，本文就强制虚拟研究的挑战和成功进行了四个比较案例研究。调查结果显示，虽然从物理方法到虚拟方法的突然转变可能不会再次发生，但大流行期间的研究导致了利用现有技术在可及性和包容性方面的创新。大流行还加强了LIS学术和实践在确保从规划阶段开始，通过分发和管理编写和发表研究结果的数据，实现合乎道德和可持续的研究规程方面发挥的独特作用。

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引用次数: 0

Using a serial multiple-mediator SEM model to demonstrate the effect of program preparation, professional development opportunities, and comfort with technology on retention of BIPOC librarians 使用串行多中介SEM模型来证明程序准备，专业发展机会和技术舒适度对BIPOC图书馆员保留的影响

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2025-01-01 DOI: 10.1016/j.lisr.2025.101342

Kawanna Bright , Sunha Kim , Mónica Colón-Aguirre , Amy VanScoy , Ayiana Crabtree

To explain the mechanisms that influence Black, Indigenous, and People of Color (BIPOC) librarians' intent to leave the profession, a serial multiple-mediator structural equation model (SEM) analysis was applied to an existing dataset (Workforce Issues in Library and Information Science 2). According to the results, both professional development opportunities and comfort with technology demonstrated significant negative direct and indirect associations with their intent to leave via an indirect path of job satisfaction. Also, combined with the perceived benefits of the graduate program via indirect paths, both professional development opportunities and comfort with technology contributed to the significant negative total effects on the intent to leave. This study provides empirical support to promote professional development opportunities and encourage comfort with technology as ways to improve the retention of BIPOC librarians.

为了解释影响黑人、土著和有色人种（BIPOC）图书馆员离职意向的机制，对现有数据集（图书馆与信息科学中的劳动力问题2）应用了一系列多中介结构方程模型（SEM）分析。职业发展机会和技术舒适度都与他们的离职意图有直接和间接的负相关关系。此外，再加上研究生项目通过间接途径带来的好处，专业发展机会和对技术的适应都对离职意向产生了显著的负面影响。本研究为提高BIPOC图书馆员的职业发展机会和技术舒适度提供了实证支持。

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引用次数: 0

A longitudinal study of user continuance intention to use public digital cultural services 关于用户继续使用公共数字文化服务意愿的纵向研究

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2025-01-01 DOI: 10.1016/j.lisr.2025.101343

Jiajing Liu , Honglei Lia Sun , Li Kuang , Jianming Zheng

Public digital cultural services (PDCS) have significant potential to address the public's fundamental digital cultural needs. The factors affecting PDCS user continuance intention and the longitudinal effects of these factors were explored. A conceptual model was developed and validated using structural equation modeling to analyze two waves of panel data collected from 277 PDCS users. The results suggest that the antecedent factors affecting PDCS user continuance intention include information quality and service quality, while mediating factors include satisfaction, perceived usefulness, flow experience, and expectation confirmation. In the early stage, the direct positive effect of service quality on perceived usefulness was stronger than that of information quality. In the later stage, the direct positive effects of flow experience on continuance intention, expectation confirmation on satisfaction, and information quality on expectation confirmation became statistically significant. This longitudinal study proposed a theoretical model that enhances the understanding of PDCS user continuance intention and provides practical implications for PDCS practitioners.

公共数字文化服务（PDCS）在满足公众基本数字文化需求方面具有巨大潜力。本研究探讨了PDCS使用者继续使用意愿的影响因素及其纵向效应。利用结构方程模型对277名PDCS用户的两波面板数据进行了分析，建立了概念模型并进行了验证。结果表明，影响PDCS用户继续意向的前因包括信息质量和服务质量，中介因素包括满意度、感知有用性、流体验和期望确认。在早期阶段，服务质量对感知有用性的直接正向影响强于信息质量。在后期，流动体验对延续意愿、期望确认对满意度、信息质量对期望确认的直接正向影响变得有统计学意义。本研究提出了一个理论模型，增进了对PDCS使用者继续意愿的理解，并为PDCS从业者提供了实践启示。

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引用次数: 0

Decoding virtual chats: NLP insights into academic library services. 解码虚拟聊天：NLP对学术图书馆服务的洞察。

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2025-01-01 DOI: 10.1016/j.lisr.2025.101344

Jiebei Luo, Alyssa Brissett

Assessing unstructured data from virtual reference chats is complex. Full-text reveals nuances but is time-consuming, while transcript metadata gives an overview but may miss important details in the conversation. This research applies a machine learning (ML) tool to the complete set of transcripts from a research university's chat reference service (2017–2022) to examine evolving trends and patron needs in the library reference service. The study has two key objectives: 1) demonstrating ML's effectiveness in the academic library setting, and 2) assessing the impact of COVID-19 on chat reference needs. A text classification model, trained on 1.5 % of the sample, achieves a 75 % accuracy match with human annotations. Findings indicate a marked rise in circulation-related inquiries as libraries transitioned to fully online services during the pandemic. Notably, user behaviors remain consistent even after the pandemic. This study highlights ML's potential to analyze large-scale unstructured data effectively in the academic library setting.

评估来自虚拟参考聊天的非结构化数据是复杂的。全文显示细微差别，但耗时，而文本元数据提供概述，但可能错过对话中的重要细节。本研究将机器学习（ML）工具应用于一所研究型大学聊天参考服务（2017-2022）的完整成绩单，以研究图书馆参考服务的发展趋势和用户需求。该研究有两个关键目标：1)证明机器学习在学术图书馆环境中的有效性，2)评估COVID-19对聊天参考需求的影响。在1.5%的样本上训练的文本分类模型与人工注释的准确率达到75%。调查结果表明，随着图书馆在疫情期间过渡到完全在线服务，与流通相关的查询显著增加。值得注意的是，即使在大流行之后，用户行为仍然保持一致。这项研究强调了机器学习在学术图书馆环境中有效分析大规模非结构化数据的潜力。

引用次数: 0

Assessing social efficiency of libraries from a dynamic perspective: The Peruvian municipal library system 从动态的角度评估图书馆的社会效率：秘鲁市立图书馆系统

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2025-01-01 DOI: 10.1016/j.lisr.2025.101341

María José del Barrio-Tellado, Angela Milagros Reyes-Gutierrez

Municipal libraries are one of the most important cultural institutions, especially in developing countries, where they help build social capital, improve quality of life, and reduce inequalities. As publicly funded entities, their contribution to welfare should be evaluated for them to gain accreditation, especially when technological changes have altered user interest and access to certain traditional functions. A dynamic Data Envelopment Analysis (DEA) model is used to evaluate performance and to estimate the productivity of a group of libraries in Peru, taking the mission of social impact as a benchmark. Starting from low efficiency values, results show substantial progress, with differences, depending on geographical areas, and a trade-off is seen between efficiency and poverty indicators. Human capital, other cultural facilities and accessibility emerge as external drivers of efficiency. Cultural policy implications are provided, and the study may serve to approach social impact evaluation for cultural institutions, especially in emerging economies.

市政图书馆是最重要的文化机构之一，特别是在发展中国家，它们有助于建立社会资本，提高生活质量，减少不平等现象。作为公共资助的实体，它们对福利的贡献应该得到评价，以便获得认可，特别是当技术变化改变了用户的兴趣和使用某些传统功能的机会时。动态数据包络分析（DEA）模型用于评估秘鲁一组图书馆的绩效和生产力，以社会影响使命为基准。从低效率值出发，结果显示出实质性的进展，根据地理区域而有所不同，并且在效率和贫困指标之间可以看到一种权衡。人力资本、其他文化设施和无障碍成为提高效率的外部驱动因素。本研究提供了文化政策的启示，并可为文化机构的社会影响评估提供参考，特别是在新兴经济体。

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引用次数: 0

The user experience of university library: A text mining analysis of a Q&A platform in China 大学图书馆的用户体验：中国问答平台的文本挖掘分析

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101326

Yan Li , E. Erjiang , Xin Tian

To gain a deeper understanding of the user experience in university libraries, an alternative channel for collecting user feedback was explored utilizing a prominent Chinese Question and Answer (Q&A) platform, Zhihu. A dataset consisting of 11 questions and 12,647 valid answers related to the user experience of university libraries on the Zhihu platform was collected. To analyze the collected user comments (answers) quantitatively, various techniques including word frequency analysis, semantic network analysis, Latent Dirichlet Allocation (LDA) topic modeling, and sentiment analysis were used. Findings revealed that factors influencing user experience can be categorized into six main groups: university life and future planning, choice and efficiency of study spaces, library resource management and staff behavior, seat usage behavior, noise issues, and the behavior of other users. Sentiment analysis revealed a mix of emotions in user experience. Positive experiences stemmed from quality learning environments and personal development support, while negative experiences were primarily caused by noise, seat scarcity, management issues, and other users' behavior. These varied emotional responses and suggested targeted improvements were explored. Findings could contribute to a deeper understanding of the user experience in university libraries and offer practical insights for improving library services.

为了深入了解大学图书馆的用户体验，我们利用国内著名的问答（Q&A）平台--知乎，探索了另一种收集用户反馈的渠道。我们在知乎平台上收集了与大学图书馆用户体验相关的 11 个问题和 12,647 个有效答案。为了对收集到的用户评论（答案）进行定量分析，研究人员使用了词频分析、语义网络分析、潜在德里希特分配（LDA）主题建模和情感分析等多种技术。研究结果显示，影响用户体验的因素可分为六大类：大学生活和未来规划、学习空间的选择和效率、图书馆资源管理和工作人员行为、座位使用行为、噪音问题以及其他用户的行为。情感分析揭示了用户体验中的各种情绪。积极的体验源于优质的学习环境和个人发展支持，而消极的体验则主要由噪音、座位稀缺、管理问题和其他用户的行为造成。我们探讨了这些不同的情绪反应，并提出了有针对性的改进建议。研究结果有助于加深对大学图书馆用户体验的理解，并为改善图书馆服务提供实用见解。

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引用次数: 0

A systematic review of library services platforms research and research agenda 图书馆服务平台研究和研究议程系统回顾

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101325

Ze Liu , Bo Shao

With changes in technology and user behavior, library services platforms (LSPs) have emerged and evolved rapidly, as has research on LSPs. The systematic review involved the analysis of 22 studies drawn from 4726 records, with the objective of providing empirical insights into the functions and roles of LSPs. System types, vendors, research methods, participants, roles, and challenges in LSPs research were identified. The results show that the existing studies mainly involve three system types: Alma, Sierra, and WMS, and their vendors are Ex Libris, OCLC, and Innovative. LSPs involve mainly two main types of roles: management-related roles and services-related roles. Meanwhile, libraries face several challenges in the implementation of the LSPs, caused by a huge amount of data, insufficient training, a lack of human resources, and a limited budget. The findings highlight opportunities for future research, including enriching research methodologies and expanding the types of users and systems investigated.

随着技术和用户行为的变化，图书馆服务平台（LSP）不断涌现并迅速发展，有关 LSP 的研究也是如此。本次系统性综述分析了来自 4726 条记录的 22 项研究，旨在提供有关 LSP 功能和作用的经验性见解。研究确定了系统类型、供应商、研究方法、参与者、角色和 LSP 研究中的挑战。结果显示，现有研究主要涉及三种系统类型：其供应商分别是 Ex Libris、OCLC 和 Innovative。LSP 主要涉及两大类角色：与管理相关的角色和与服务相关的角色。同时，图书馆在实施 LSP 的过程中面临着数据量巨大、培训不足、人力资源缺乏和预算有限等挑战。研究结果强调了未来研究的机遇，包括丰富研究方法和扩大调查的用户和系统类型。

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How to bridge the gap? Information asymmetry in Tibetan-Chinese bilingual search behavior 如何弥合差距？藏汉双语搜索行为中的信息不对称

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101329

Shutian Zhang , Dan Wu

Significant information asymmetries exist between majority and minority languages on the web. The information asymmetry makes it difficult for ethnic minorities to access online information in their native languages, exacerbating their information vulnerability. It is necessary to investigate whether the information asymmetry between these two languages affects the language selection and interaction behavior of bilinguals in online searches. A user search experiment (N = 30) was conducted in Tibetan-Chinese bilinguals, combined with retrospective think-aloud interviews. Tibetan-Chinese bilinguals showed a preference for Chinese search, seen as a native language (L1) loss tendency in search. The bilinguals present an information asymmetry stereotype, which influenced their search language selection and negatively affected their search behavior. Four search phases for Tibetan-Chinese bilinguals were identified: direct search, vigilant avoidance, blind attempts, and serendipitous search.

在网络上，多数语言和少数语言之间存在着显著的信息不对称。信息不对称使得少数民族难以获取母语网络信息，加剧了他们的信息脆弱性。两种语言之间的信息不对称是否会影响双语者在网络搜索中的语言选择和互动行为，这是有必要研究的。在藏汉双语者中进行用户搜索实验（N = 30），并结合回顾性的有声思考访谈。藏汉双语者对汉语搜索的偏好表现为母语搜索的丢失倾向。双语者存在信息不对称刻板印象，这种刻板印象影响了他们的搜索语言选择，并对他们的搜索行为产生负面影响。藏汉双语者的搜索阶段分为直接搜索阶段、警惕回避阶段、盲目尝试阶段和偶然搜索阶段。

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ChatGPT for chatting and searching: Repurposing search behavior 用于聊天和搜索的ChatGPT：重新利用搜索行为

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101331

Marcelo Tibau , Sean Wolfgand Matsui Siqueira , Bernardo Pereira Nunes

Generative AI tools, exemplified by ChatGPT, are transforming the way users interact with information by enabling dialogue-based querying instead of traditional keyword searches. While this conversational approach can simplify user interactions, it also presents challenges in structuring effective searches, refining prompts, and verifying AI-generated content. This study addresses these complexities by repurposing traditional search tactics for use in conversational AI environments, specifically to support the Searching as Learning (SaL) paradigm. Forty-five adapted tactics are introduced to aid users in defining information needs, refining queries, and evaluating ChatGPT's responses for relevance, utility, and reliability. Using the Efficient Search Tactic Identification (ESTI) method and constant comparison analysis, these tactics were mapped into a stratified model with seven categories. The framework provides a structured approach for users to leverage conversational agents more effectively, promoting critical thinking and iterative learning. This research underscores the importance of developing robust search strategies tailored to conversational AI environments, facilitating deeper learning and reflective information engagement. Additionally, it highlights the need for ongoing research into the design and evaluation of future chat-and-search systems.

以ChatGPT为例的生成式人工智能工具，通过支持基于对话的查询而不是传统的关键字搜索，正在改变用户与信息交互的方式。虽然这种对话方式可以简化用户交互，但它也在构建有效的搜索、精炼提示和验证人工智能生成的内容方面提出了挑战。本研究通过将传统搜索策略重新用于会话人工智能环境来解决这些复杂性，特别是支持搜索即学习（SaL）范式。本文介绍了45种适当的策略，以帮助用户定义信息需求、精炼查询和评估ChatGPT的响应的相关性、实用性和可靠性。利用高效搜索策略识别（ESTI）方法和持续比较分析，将这些策略映射成一个包含7类策略的分层模型。该框架为用户提供了一种结构化的方法来更有效地利用会话代理，促进批判性思维和迭代学习。这项研究强调了开发针对会话人工智能环境的强大搜索策略的重要性，促进了更深入的学习和反思信息参与。此外，它还强调了对未来聊天和搜索系统的设计和评估进行持续研究的必要性。

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