18 July 2025, Volume 46 Issue 4

    

• Select all
  |

• Select
  A Study on the Influencing Factors of User Privacy Risk Perception in Human-AI Interaction Based on Meta-Analysis

  Yao Shanji, Wang Wanting, Yan Rui, Liu Jiajing

  Information and Documentation Services. 2025, 46(4): 5-14. https://doi.org/10.12154/j.qbzlgz.2025.04.001

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] Existing studies have investigated factors affecting privacy risks in human-AI inter⁃actions, but their conclusions vary widely. This study systematically reviews relevant empirical research to identify key influencing factors and potential moderators of privacy risk perception in human-AI interaction. [Method/process] A meta-analysis was conducted, screening 64 valid studies. Key factors affecting privacy risk perception were identified across four dimensions: AI interaction characteristics, user characteristics, privacy concerns, and privacy protection en⁃vironments, totaling 19 critical factors. Potential moderators were tested to identify sources of heterogeneity in the find⁃ings. [Result/conclusion] Factors across the four dimensions influence users’privacy risk perception to varying de⁃grees. Information sensitivity, privacy concerns, perceived threats, and anxiety exhibit strong correlations with privacy risk perception. AI characteristics, long-term orientation, uncertainty avoidance, and gender demonstrate significant moderating effects.
  
• Select
  Research on the Formation Path and Configuration Pattern of Social Media Users′ Privacy Fatigue

  Wang Jianya, Zhang Yan, Xu Fan, Zhang Kun

  Information and Documentation Services. 2025, 46(4): 15-24. https://doi.org/10.12154/j.qbzlgz.2025.04.002

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] Frequent privacy leakage incidents and increasingly complex privacy control strate⁃gies have exacerbated user privacy fatigue, and exploring the formation mechanism of social media users' privacy fa⁃tigue can provide a theoretical reference for user cognitive load relief, privacy anxiety debugging and effective privacy protection strategy formulation. [Method/process] Combining cognitive load, cognitive bias and CAC theory, the forma⁃tion mechanism model of privacy fatigue of social media users was constructed, and the partial least squares structural equation model and fuzzy set qualitative comparative analysis method were used for empirical test and configuration analysis. [Result/conclusion] In terms of cognitive factors, overconfidence positively affects optimism bias, informa⁃tion overload, social overload and system function overload all positively affect emotional exhaustion, and system func⁃tion overload also has a positive impact on negative neglect. In terms of emotional factors, emotional exhaustion, nega⁃tive neglect and optimistic bias all positively affect user privacy fatigue, and optimistic bias not only has a positive im⁃pact on emotional exhaustion and negative neglect, but also positively affects privacy fatigue under the mediating effect of the two. In terms of configuration effect, the two antecedent configurations of information overload and social over⁃load will trigger user privacy fatigue. In addition, there was no significant difference in the effect of control variables such as demographics on social media users' privacy fatigue.
  
• Select
  Research on Policies for the Elderly-Friendly Construction of Public Cultural Services in China from the Perspective of Policy Tools

  Zeng Yueliang, He Xing, Zhu Mingyi, Han Shixi

  Information and Documentation Services. 2025, 46(4): 25-35. https://doi.org/10.12154/j.qbzlgz.2025.04.003

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] Promoting the construction of elderly-friendly public cultural services is of great significance for enhancing the cultural sense of achievement and happiness of the elderly, and building a Chinese style active aging society. Systematically exploring the characteristics of current policies for elderly-friendly public cultural services in China, clarifying the structure and problems of policy tools, can provide reference for future policy optimiza⁃tion. [Method/process] This study constructs a three-dimensional analysis framework of“policy tools - elderly needspolicy implementers”from the perspective of policy tools, and uses content analysis to quantitatively analyze 66 policytexts released in China. [Result/conclusion] In terms of policy tools, supply oriented policy tools tend to focus on edu⁃cation and training, environmental policy tools have insufficient binding force, and the use of demand oriented policy tools is significantly insufficient. The attention of policy tools to the middle and low-level needs of elderly people should be strengthened. Policy tools have not fully utilized the functions of policy implementers. Based on this, the fol⁃lowing optimization strategies are proposed: (1)adjusting the layout of supply oriented policy subclasses to support the development of education and training; strengthening environmental policy tools and combining soft and hard measures⁃to create an elderly-friendly environment; enriching demand driven policy tools to attract multiple stakeholders to par⁃ticipate on a regular basis；(2)following the logic of low to high to meet the needs of the elderly；(3)promoting the diver⁃sification of policy implementers to fully leverage social forces.
  
• Select
  The Conceptual Construction and Generation Mechanism of Age-Related Digital Dysfunction:A Qualitative Study Based on the Context of Medical Treatment

  Wang Xing, Li Qirong, Meng Meng, Yuan Qinjian

  Information and Documentation Services. 2025, 46(4): 36-44. https://doi.org/10.12154/j.qbzlgz.2025.04.004

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] The digital transformation of healthcare services has exacerbated technological ad⁃aptation challenges among older adults. While existing studies emphasize age-related disparities in the digital divide,they neglect the interplay between biologically driven capability deprivation and techno-social factors. This study pro⁃poses the concept of“Age-Related Digital Dysfunction”(ARDD) and investigates its generative mechanisms to address theoretical gaps in understanding the“aging-technology antagonism”within digital inequality frameworks. [Method/process] Using a qualitative approach, semi-structured in-depth interviews were conducted with 38 older adults from five Chinese provinces/autonomous regions. Data focused on their experiences of digital barriers across healthcare workflows, along with their causal attributions and coping strategies. Thematic analysis and contextual interpretation were employed to identify ARDD’s manifestations and generative pathways. [Result/conclusion] The findings reveal
  that ARDD manifests in three dimensions: operational dysfunction, informational dysfunction, and decision-making dysfunction. ARDD’s generative mechanism follows a“bio-techno-social”interactive model: age-related cognitive and physiological decline acts as a necessary precondition, while technology-exclusionary designs and deficiencies in social support systems jointly exacerbate systemic deprivation of capabilities. ARDD is thus defined as“a state of per⁃sistent capability deprivation wherein intrinsic functional decline due to aging, compounded by techno-social exclu⁃sion, impedes older adults’effective engagement with digital technologies in healthcare.”
  
• Select
  Research on the Scenario-Based National Security Intelligence Service Model Driven by Data Fusion

  Jia Ruonan

  Information and Documentation Services. 2025, 46(4): 45-51. https://doi.org/10.12154/j.qbzlgz.2025.04.005

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] In the era of intelligence, the decision-making function of intelligence services is becoming more and more important in national security, and the research on national security intelligence services is of great significance at the national strategic level and in the field of information science research. [Method/process]This study proposes a national security scenario-based intelligence service model centered on scenarios. This study aims to utilize security data to perceive the demand-side scenarios for intelligence services, which in turn guide the construction of supply-side resources for intelligence services. Based on the matching of supply and demand, service solutions are generated to achieve scenario-based intelligence service responses. [Result/conclusion] By establishing a theoretical framework for a data fusion-driven national security scenario-based intelligence service model, we aim to
  respond to the objective requirements of the national security strategy at the macro level, while providing innovative in⁃tegration paths for national security scenario-based intelligence services at the micro level.
  
• Select
  Research on the Impact of Uncertainty on Users′ Proxy Information Search Behavior from the Emotional Perspective

  Li Ziqi, Pan Siyi, Huang Mengli

  Information and Documentation Services. 2025, 46(4): 52-62. https://doi.org/10.12154/j.qbzlgz.2025.04.006

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] With the rise of generative AI, its role as a social actor is reshaping the process of in⁃formation acquisition. Against the backdrop of the uncertainty arising from human to human proxy search, exploring the influence of uncertainty on human to machine proxy search behavior from the perspectives of positive and negative emo⁃tions is of great significance for the further development of this technology. [Method/process] Based on the motivation⁃al information management theory, a research model was constructed, and a total of 13 research hypotheses were pro⁃posed. The data were collected using the questionnaire survey method and the critical incident technique. The relevant model calculations were carried out through the partial least squares structural equation modeling. [Result/conclu⁃sion] This study first reveals the correlation between the uncertainty differences, the low matching between information and tasks, and individual emotions. That is, an increase in uncertainty differences enhances individuals' negative emo⁃
  tions and, correspondingly, reduces positive emotions. Under the influence of negative emotions, users lower their eval⁃uation of expected outcomes and effectiveness, thereby suppressing human to machine proxy search behavior. Although the low matching between information and tasks has no significant impact on the emotional state, it positively promotes human to machine proxy search behavior. Emotions have no significant impact on the results of human to machine proxy search behavior.
  
• Select
  An Empirical Study on the Factors Influencing the Continuous Usage Behavior of Users of Smart Libraries Enabled by GenAI

  Xiao Hua

  Information and Documentation Services. 2025, 46(4): 63-73. https://doi.org/10.12154/j.qbzlgz.2025.04.007

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] With the rapid advancement of Generative Artificial Intelligence (GenAI) technolo⁃gy, the human-machine collaborative model in smart libraries has undergone innovative enhancements. This technolog⁃ical evolution has brought significant transformations across multiple dimensions, including service quality, resource al⁃location, and application scenarios, thereby providing an advanced technical foundation for the transformation and up⁃grading of smart libraries. [Method/process] Based on the extended information system continuous use model, media system dependence theory and user habit theory, the study analyzes the influencing factors and antecedents of users’ continuous use of generative AI-enabled smart library, and builds a conceptual model of influencing factors of user’s continuous use behavior of generative AI-enabled smart library. This paper studies how generative artificial intelli⁃
  gence in the construction and development of smart library affects the user’s attitude and continuous use behavior un⁃der the application scenario, so as to provide a new research perspective and a theoretical framework for the user’s con⁃tinuous use of smart library. [Result/conclusion] The empirical results show that media dependence has significant positive effects on expectation validation and perceived usefulness. The degree of expected validation and perceived usefulness have significant positive effects on user satisfaction. The degree of expected validation and perceived useful⁃ness play a partial mediating role between media dependence and user satisfaction. User satisfaction plays a partial me⁃diating role between expectation confirmation degree and user’s continuous use behavior, and the effect is significant.However, the mediating effect of user satisfaction between perceived usefulness and continued usage behavior is not sta⁃tistically significant. User habit has a significant negative moderating effect on the relationship between expectation confirmation and user’s continuous use behavior. 
  
• Select
  A Study on Scientific Research Big Data: Basic Framework System and Its Correlative Logic

  Tong Zehua, Xu Haiyun, Sun Jie, Wang Yajie, Chen Yuemian

  Information and Documentation Services. 2025, 46(4): 74-86. https://doi.org/10.12154/j.qbzlgz.2025.04.008

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] Currently, the scientific research big data is a major concern for the economic, so⁃cial, and technological development of various countries. Exploring its basic framework and correlative logic holds sig⁃nificant theoretical and practical value. [Method/process] This study grounded in a comprehensive review of the perti⁃nent theoretical foundations of the basic framework system for scientific research big data, transcends ecological and cy⁃bernetics theories and methods. Following systematic principles, it establishes the basic framework system for scientific research big data based on the concepts of "nascence-symbiosis-regeneration-parasitism". The basic framework sys⁃tem adheres to ecological principles. It considers "nascence" as the foundation, "symbiosis" as the guarantee, "regener⁃ation" as the key, and "parasitism" as a special case，employing process logic, time logic, functional logic, and formal logic as the logical domains, facilitating cyclical feedback and iterative optimization. [Result/conclusion] The theoreti⁃cal construction of the basic framework system for scientific research big data provides a novel perspective for the scien⁃tific research big data study, offering valuable guidance for the organization and management of the scientific research big data. In practical terms, the basic framework system for scientific research big data aids in the analysis, scrutiny,and mitigation of negative phenomena such as data monopolies, data fragmentation and data dormancy. This contribu⁃tion supports the establishment of a robust ecosystem of scientific research big data, fosters a sense of shared destiny within the scientific research big data community, revitalizes the vitality of research data, and establishes a firm founda⁃tion for harmonious symbiosis and mutually beneficial development among research entities at different levels.
  
• Select
  An Overview of the Current Application Status of Health Informatics Research Methods Based on Generative AI Entity Extraction

  Xia Sudi, Dong Wenyuan, Zhang Jundong, Xie Jing, Deng Sanhong, Deng Shengli

  Information and Documentation Services. 2025, 46(4): 87-96. https://doi.org/10.12154/j.qbzlgz.2025.04.009

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] The purpose of this paper is to reveal the current status of health informatics re⁃search methods in the domestic information resource management perspective, to explore the characteristics of re⁃search methods applied under different research themes, and to provide a reference basis for the selection of research design methods in this field. [Method/process] Firstly, the study obtained 2154 academic paper abstract data from 61 journals in the field of information resource management from CNKI. Secondly, it utilized BERT model with data aug⁃mentation and the ChatGPT large language model for research method entity extraction. On this basis, a method entity co-occurrence network was constructed. The method entity clusters were classified according to the Louvain communi⁃ty detection algorithm. Finally, the BERTopic model was used to mine research themes and reveal the status of applica⁃
  tion of method entities under each theme. [Result/conclusion] Health informatics research methodology entities are broadly categorized into empirical research methods, qualitative research methods, data intelligence and simulation methods, data collection methods and tools, modeling research methods, and information systems analysis and design methods, with significant differences in the distribution of research methods under different research themes. The re⁃sults of the study help to adapt research methods for discipline-specific problems and promote the combined applica⁃tion of multifaceted, mixed, and interdisciplinary methods in health informatics. 
  
• Select
  Research on Users' Cross-modal AI Interaction Behaviors and Multimodal Literacy Education from the Perspective of Social Semiotics

  Li Xiaowei, Zhang Youxiong

  Information and Documentation Services. 2025, 46(4): 97-105. https://doi.org/10.12154/j.qbzlgz.2025.04.010

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance] Cross-modality is one of the key attributes of generative artificial intelligence. This study employs a social semiotics perspective to conduct a micro-analysis of user-AI cross-modal interaction process⁃es, revealing the necessity and urgency of multimodal literacy education for users within the framework of AI literacy education. [Method/process] This study adopts mixed methods research, using questionnaires, participatory observa⁃tion, and multimodal discourse analysis to collectively demonstrate the significant roles of literary literacy, aesthetic lit⁃eracy, and other types of literacy in user-AI cross-modal interactions. [Result/conclusion] The current framework and content of AI literacy education should be deepened from four aspects: multimodal comprehension ability, cross-modal transformation ability, multimodal creation ability, and multimodal judgment ability；user-AI interactions exhibit the
  characteristic of“transliteracy”, and creative interactions between users and AI require a broader and more interrelated set of literacy；the paradigm of AI literacy education should shift from“skills trainer”to“literacy architect”, the core competitiveness of future libraries will be reflected in the ability to integrate multiple types of literacy in educational practices.
  
• Select
  Analysis of the "Quick Borrowing" Practice in University Libraries from the Perspective of Resource-Service Integration: A Case Study of "New Book Quick Borrowing" in Renmin University of China Libraries

  Han Shuai

  Information and Documentation Services. 2025, 46(4): 106-112. https://doi.org/10.12154/j.qbzlgz.2025.04.011

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  [Purpose/significance]“Quick borrowing”of university libraries is a form of the construction of resourceservice integration. By analyzing the“quick borrowing”of university books through practical cases, we can discover the experience of resource-service integration, which is of great significance and value for promoting the construction of university libraries’resources and adding value to services. [Method/process] From the perspective of resource-ser⁃vice integration, this paper uses the“5W1H”analysis method to analyze the case of the“quick borrowing of new books”of Renmin University of China Libraries, and disassembles the causes, contents, platforms, links, personnel,promotion methods, effectiveness and value of the activity, from which we can get relevant enlightenment on the con⁃
  struction of resource-service integration of university libraries. [Result/conclusion] The“quick borrowing of new books”of Renmin University of China Libraries is a typical representative of resource-service integration of university libraries, practices the concept of patron-driven acquisition and promots the integration of resources and services. In re⁃sponse to future development trends, university libraries need to strengthen the construction of resource-service inte⁃gration, establish sound institutional standards, continuously increase investment in information technology, strengthen collaboration among multiple entities, improve the effective evaluation system, build a fully functional comprehensive service platform, and promote the organic integration and innovative development of resources and services.