18 May 2025, Volume 46 Issue 3
    

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  • Chen Xiaoyu, Wang Yun, Wang Chunyue
    Information and Documentation Services. 2025, 46(3): 5-12. https://doi.org/10.12154/j.qbzlgz.2025.03.001
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    [Purpose/significance] As“AI for Science”is increasingly viewed as the“fifth paradigm”of scientific re⁃search, Artificial Intelligence (AI) has begun to exert a profound impact on both the research processes and disciplinary boundaries of Information Resources Management (IRM). However, a comprehensive examination of AI’s applications and influences in IRM, from a holistic disciplinary perspective using systematic theoretical tools, remains lacking.Drawing upon the I-model theory, this paper investigates the key elements, underlying mechanisms, and future chal⁃lenges of AI-empowered IRM research, aiming to offer fresh perspectives for both academic inquiry and practice. [Method/process] Employing a literature review and representative case analyses, this study summarizes the core com⁃ponents and key pathways of AI-driven Information Resources Management (AI4IRM). It then utilizes the four dimen⁃sions of the I-model—information, technology, people, and organization/society—to analyze AI’s innovative applica⁃
    tions in tasks such as information retrieval, knowledge discovery and management, as well as data processing and analy⁃sis. The paper also provides a comprehensive review of forthcoming trends and potential risks. [Result/conclusion]The findings reveal that AI holds substantial promise in enhancing information analysis accuracy, decision-support effi⁃ciency, and knowledge service capabilities. Nevertheless, significant challenges persist, particularly regarding data quality in large-scale datasets, algorithmic bias, privacy concerns, and ethical regulations. By illuminating the dynamic relationships and complexities inherent in AI-driven IRM, the I-model theory furnishes theoretical and practical foun⁃dations for advancing interdisciplinary research and informed decision-making in this evolving field.
  • ZhaoYuxiang, Jing Yutian, Song Shijie, Liu Wei
    Information and Documentation Services. 2025, 46(3): 14-25. https://doi.org/10.12154/j.qbzlgz.2025.03.002
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    [Purpose/significance] With the rapid advancement of generative AI technologies, prompts have transcend⁃ed their traditional role as mere human-computer interaction interfaces and have evolved into a core competency for navigating the digital age. [Method/process] This study systematically investigates the concept of prompt literacy, tak⁃ing the multifaceted nature of prompts as a logical starting point. Drawing on relevant perspectives from the school of so⁃cial informatics, it explores the theoretical underpinnings of prompt literacy in three dimensions—individual, system,and practice. It also explores practical approaches to improving prompt literacy across society from an interdisciplinary perspective. [Result/conclusion] As a crucial link between human-AI interaction and value co-creation, prompt liter⁃acy exhibits a dual character, encompassing both information practices and technological ethics. There is an urgent
    need to develop a theoretical framework rooted in socio-technical practices. This study outlines several directions for future research, aiming to advance both the theoretical refinement and practical development of prompt literacy.
  • Ye Xujie, Zhang Yan, Zhao Yuxiang
    Information and Documentation Services. 2025, 46(3): 26-36. https://doi.org/10.12154/j.qbzlgz.2025.03.003
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    [Purpose/significance] The rapid development of Generative Artificial Intelligence (GenAI) products has completely transformed the interaction patterns between humans and artificial intelligence. In-depth exploration of the motives and patterns of self-disclosure in user-GenAI interactions helps to understand the diversity and complexity of user self-disclosure in this context, providing a new perspective for exploring user information behavior in human-intel⁃ligence interaction. [Method/process] Based on the CASA paradigm, social penetration theory, and mind perception theory, systematic thematic analysis was conducted on interview data from 20 GenAI users. [Result/conclusion] The study found that the motives for self-disclosure in user-GenAI interactions can be divided into three dimensions: envi⁃ronmental, technological, and user-related. Moreover, the patterns of self-disclosure in user-GenAI interactions can be categorized into three types: increasing disclosure layer, stable disclosure layer, and decreasing disclosure layer. By ana⁃lyzing the motives and patterns of user self-disclosure, it provides references for optimizing "people-centered" GenAI design, which is helpful for more precise and effective experience optimization for different types of users.
  • Jing Yutian, ZhaoYuxiang, Zhu Qinghua, Sun Xiaoning
    Information and Documentation Services. 2025, 46(3): 37-46. https://doi.org/10.12154/j.qbzlgz.2025.03.004
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    [Purpose/significance] In the digital age, with the rapid development of information and communication technology, the phenomenon of digital disconnection has been steadily emerging. This study endeavors to explore the mechanisms behind the formation and evolution of digital disconnection behavior from a dynamic perspective, thereby deepening the understanding of the interaction between technology and individuals. The findings aim to offer valuable insights for enhancing user experience and fostering digital literacy. [Method/process] We crawled 1205 posts and comments from five groups related to digital disconnection in the Douban community and combined them with the texts of 21 interviews, constructed a framework model using thematic analysis, and analyzed the relationship between various elements of the model in order to clarify the process mechanism. [Result/conclusion] In this study, we constructed a
    model of the mechanism and process evolution of users’digital disconnection behavior, which dynamically represents the overall logic of“digital awakening - technology domestication-digital conflict and contradiction-evaluation and ad⁃justment”. Correspondingly, the interaction between users and technology shows an evolutionary trend of“technology domestication-technology compromise/technology resistance-technology reflection”. In addition, this study identified three evolutionary pathways of digital disconnection: the short-term relief model, the rational optimization model, and the deep trade-off model.
  • Deng Shengli, Yuan Xujun, Rong Xinyu
    Information and Documentation Services. 2025, 46(3): 47-56. https://doi.org/10.12154/j.qbzlgz.2025.03.005
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    [Purpose/significance] With the rapid development of technologies such as the Internet, cloud computing,big data and artificial intelligence, the impact of digital transformation on human happiness has gradually emerged.This paper aims to explore the conceptual connotation of digital happiness and construct a standardized evaluation in⁃dex system to provide theoretical basis and practical guidance for understanding and improving digital happiness.[Method/process] Through literature research, interview, qualitative text analysis and other methods, the evaluation in⁃dicators of digital happiness were comprehensively extracted, and the weight of each indicator was determined by the analytic hierarchy process, and a digital happiness evaluation index system was constructed. At the same time, based on this system, the digital happiness level questionnaire is designed, using the fuzzy comprehensive evaluation method to evaluate the current situation of the public's digital happiness. [Result/conclusion] Three main dimensions of digi⁃tal happiness were proposed in this paper: the positive use experience of digital products and services, the positive psy⁃chological function in the use of digital products and services, and the positive social mentality in the use of digital prod⁃
    ucts and services. The public's digital happiness suffers from a lack of security, autonomy, and inclusion in digital soci⁃ety, which can be improved by strengthening digital society governance, optimizing product design, and enhancing user capabilities. This paper provides a new theoretical framework and assessment tool for evaluating and improving digital happiness, which can guide the governance of digital society and product design optimization.
  • Qi Jinglin , Han Zhengbiao
    Information and Documentation Services. 2025, 46(3): 57-64. https://doi.org/10.12154/j.qbzlgz.2025.03.006
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    [Purpose/significance] Drawing on a series of theories from behavioral economics, we aim to construct a theoretical framework for user health information search mechanisms. [Method/process] Firstly, the behavioral eco⁃nomics theories in existing information search research are reviewed, along with their theoretical contributions to the field of information search research. Subsequently, four components of users' health information search mechanisms were identified: alternatives, outcomes, likelihoods and values. Based on these, four research dimensions of health infor⁃mation search were organized: search or not to search health information, formulating health information search strate⁃gies, selecting health information (sources), continue or stop searching health information. Furthermore, a theoretical framework for users' health information search mechanisms was constructed on this foundation. [Result/conclusion]This study comprehensively addresses the uncertainty in health information search and users' bounded rationality,thereby constructing a research framework that encompasses three subprocess mechanisms: the initiation and termina⁃tion mechanisms of users' health information search, the formation mechanisms of users' health information search
    strategies, and the judgment and selection mechanisms of users' health information. These three subprocess mecha⁃nisms clarify the following points, respectively: firstly, users' health information search behaviour is inherently based on the weighing of search costs and benefits; secondly, as cognitive load increases, users develop heuristic search strate⁃gies to simplify health information search; and thirdly, users' judgments and selections of health information are ofteninfluenced by heuristics and various cognitive biases.
  • Hua Yuwen , Li Hongchen, Wang Meng , Zeng Chuanliang
    Information and Documentation Services. 2025, 46(3): 65-72. https://doi.org/10.12154/j.qbzlgz.2025.03.007
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    [Purpose/significance] While the digitisation of public cultural services may facilitate users' access to cul⁃tural resources, it also raises the threshold of access to public cultural services, placing a burden on elderly users. This paper is proposed to eliminate the digital burden of elderly users under the digitalisation of public cultural services, to protect the digital cultural rights and interests of elderly users, and to promote the development of equalisation of public cultural services. [Method/process] The article mainly explores the formation mechanism of digital burden of elderly users in the context of digitisation of public cultural services, and puts forward the influence hypothesis of digital bur⁃den of elderly users based on cognitive load theory. Taking the National Cultural Cloud as an example, the question⁃naire survey method is used to collect data, the hypothesised paths are tested by structural equation modelling, and the
    model stability test is conducted using artificial neural network. [Result/conclusion] The results show that information overload, task complexity and system design overload significantly exacerbate the digital burden of elderly users, while prior experience can effectively alleviate users' digital burden. Meanwhile, the ranking of the influence of each variable on digital burden is task complexity>system design overload>prior experience>information overload.
  • Feng Cuicui, Yi Ming, Jin Yan, Mo Fuchuan
    Information and Documentation Services. 2025, 46(3): 73-83. https://doi.org/10.12154/j.qbzlgz.2025.03.008
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    [Purpose/significance] Multi-subject interaction has emerged as a prominent characteristic and develop⁃ment model in online chronic disease communities. Exploring the relational network structure characteristics and be⁃havioral patterns of multi-subject interaction in these communities can provide valuable insights for formulating target⁃ed strategies to promote multi-subject interaction and sustainable development of online chronic disease communities.[Method/process] Based on the analysis of the conceptual characteristics, interaction behavior models and interaction relationship models of multi-subject interaction in online chronic disease communities, a multi-subject interaction re⁃lationship network was constructed using sample data from the“Lymphoma House”. Subsequently, multi-dimensional network structure characteristic indicators were introduced to analyze the resilience, dynamic evolution features, and behavioral patterns of the multi-subject interaction. [Result/conclusion] The multi-subject of online chronic disease community participates in community interaction activities with cross-agent interaction mode, key subject-led interac⁃tion mode, multi-core subject interaction mode and mediator-coordinated interaction mode. Under these interaction models, a sparse relational network with relatively weak communication interactivity, low resilience, and dynamically evolving network structures has been established.
  • Zhang Yanfeng, Yang Wanchen, Gao Jingchao
    Information and Documentation Services. 2025, 46(3): 84-93. https://doi.org/10.12154/j.qbzlgz.2025.03.009
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    [Purpose/significance] Investigating the elements and mechanisms of digital detox behavior of mobile so⁃cial media users can help to enrich the information behavior model, provide theoretical and applied guidance for the indepth analysis of the digital detox behavior of mobile social media users, and ensure a healthy balance between the us⁃ers' normal life and the time they spend on digital devices. [Method/process] Based on the CAPS theoretical model framework, we analyze the elements of the digital detox behavior of mobile social media users from the four dimensions of "context-cognitive-emotional-behavioral", and we use the key event technology method to deeply excavate the in⁃trinsic mechanism of the behavior, and construct the mechanism-relationship model of the digital detox behavior of mo⁃bile social media users. model. [Result/conclusion] The mechanism of digital detox behavior of mobile social media us⁃
    ers can be divided into four sub-mechanisms: situation-driven, cognitive connection, emotional regulation and behav⁃ioral response. The management strategies for digital detox behavior of mobile social media users include four aspects:seeking alternative activities and building real-life scenarios; taking the initiative instead of being passive and enhanc⁃ing self-awareness; establishing incentive mechanisms and strengthening positive emotions; using device functions torestrain behavioral habits.
  • Huang Kun, Guo Qionghao, Hao Xijia, Zhou Chenyu
    Information and Documentation Services. 2025, 46(3): 94-101. https://doi.org/10.12154/j.qbzlgz.2025.03.010
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    [Purpose/significance] It explored the impact of task sentiment polarity on retrieval behavior in the context of information retrieval, providing reference for improving the sentiment response of information retrieval systems.[Method/process] Thirty-six subjects were randomly recruited to finish assigned three positive and negative retrieval task separately. Morae software was applied to record 216 retrieval processes. It analyses the differences in retrieval be⁃haviours under positive and negative information retrieval tasks, information retrieval process emotions, as well as the interactive effects of both emotions on retrieval behaviours. [Result/conclusion] The objective polarity of the informa⁃tion retrieval task and the subjective polarity are generally consistent; users conducted more query interactions under the positive tasks, and more in-depth browsing and viewing under the negative ones. The higher the retrieval effort, the more negative the emotions during the retrieval process.The user experience was significantly affected by the retrieval process emotion. Information retrieval task affective polarity showed significant interaction effects with retrieval process emotion on nine indicators related to query, mouse, viewing, and time, suggesting that the degree to which the sentiment polarity of different tasks promotes and inhibits retrieval behavior is regulated by the emotion of the retrieval process.
  • Wang Weili , Wang Yuejun
    Information and Documentation Services. 2025, 46(3): 102-112. https://doi.org/10.12154/j.qbzlgz.2025.03.011
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    [Purpose/significance] Artificial Intelligence (AI) has become a central issue in global technological devel⁃opment. The sociotechnical imaginaries formed in different countries, that is, the collective visions of the future of AI are profoundly shaping national policy formulation and development planning. This study conducts a comparative analy⁃sis of different region’s AI policy documents to uncover emotional orientations and policy trajectories. The findings aimto provide references for the formulation and refinement of AI policy in China. [Method/process] A total of 35 key AI policy documents published between 2016 and 2024 by China, the US, the UK, India, and the EU were selected for analysis. Using computational topic modeling and sentiment analysis, the study explores the sociotechnical imaginaries and sentiments reflected in these policy texts. [Result/conclusion] China, the US, the UK, India, and the EU placed strong emphasis on AI chip research and shared aspirations for AI to empower social development and enhance human well-being. Meanwhile, concerns about data misuse, algorithmic bias, and technical robustness and security vary in in⁃tensity. The Global South focus more on technological inclusion and economic transformation, while those in the Global North place greater emphasis on regulatory frameworks and risk mitigation. The Global North has generally exhibited a long-standing preference for a "governance-first" paradigm, while the Global South is transitioning from a "develop⁃ment-first" stance toward a more balanced approach that integrates both development and governance. Overall, the sen⁃timent expressed in AI policies has gradually shifted from optimism to a more neutral and cautious outlook.