Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The symbiosis of efficient information supply and humanistic care in the AI-driven library service systems

Bibliographic Data

ID21500890
AuthorsXinheng Song (0000-0002-7930-4079, Beijing Institute of Technology), Jiayuan GUO (0009-0004-8853-0942, Beijing Institute of Technology), Yue Zhang (0000-0003-1198-882X, Hefei University of Technology, corresponding author), Zhaolin Lu (0009-0008-7775-5352, Beijing Institute of Technology, corresponding author), Xiao Du (0000-0001-5964-6322, Beijing Institute of Technology), Du Xiao (Beijing Institute of Technology), Huaibo Zhu (Beijing Institute of Technology)
Year2025
Publication date2025-12-15
Open AccessYes
TypeARTICLE
VenueInformation Development (JOURNAL)
Journal identifiersISSN: 0266-6669 • E-ISSN: 1741-6469
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/02666669251403166
OpenAlexW4417332424
LanguageEN
References cited58

As library information systems become increasingly intelligent, they generate vast amounts of information. This study identifies the key factors shaping user experience in such systems. Using grounded theory, we extracted variables from interviews (N = 14) and developed a framework based on the Stimulus–Organism–Response model. A survey (N = 320) tested the hypothesized relationships through structural equation modelling, while artificial neural networks captured non-linear effects and ranked factor importance. Results show that information validity is the strongest predictor of interaction fluency. While aesthetic interface design improves Interaction Fluency, it does not significantly affect perceptions of System Support Level. These findings highlight the need to balance efficient information provision with human-centred design. Overemphasis on functionality risks diminishing engagement. Future designs should prioritize information validity for guidance tasks while also enhancing cultural and emotional experiences in both human and AI-driven library services

Information overload · Information system · Perception · Structural equation modeling · AI in Service Interactions · Information Retrieval and Search Behavior · Innovative Human-Technology Interaction

  • Predicting the drivers of behavioral intention to use mobile learning

    Open Access•Garry Wei-Han Tan, Keng-Boon Ooi et al.•Computers in Human Behavior•2014

  • A new criterion for assessing discriminant validity in variance-based structural equation modeling

    Open Access•Jörg Henseler, Christian M Ringle et al.•Journal of the Academy of…•2015

  • When to use and how to report the results of PLS-SEM

    Open Access•Joseph F Hair, Jeffrey J Risher et al.•European Business Review•2019

  • Development and validation of the fluency in human-robot interaction scale. A two-wave study on three perspectives of fluency

    Open Access•Mateusz Paliga, Anita Pollak•International Journal of…•2021

  • Contributory factors to attitudes towards the adoption of artificial intelligence technology in public academic libraries in South Africa

    Open Access•Amogelang Isaac Molaudzi, Ngoako Marutha•Information Development•2025

  • Factors influencing the adoption of artificial intelligence in libraries

    Open Access•Khurram Shahzad, Shakeel Ahmad Khan et al.•Information Development•2025

  • The Second Self

    Sherry Turkle•Second Self•2005

  • Exploring the effect of overload on the discontinuous intention of social media users

    Open Access•Xiongfei Cao, Jianshan Sun•Computers in Human Behavior•2017

  • The Relationships of Human-Cobot Interaction Fluency with Job Performance and Job Satisfaction among Cobot Operators—The Moderating Role of Workload

    Open Access•Mateusz Paliga•International Journal of…•2023

  • Responsible governance of generative AI

    Open Access•Marijn Janssen•Policy and Society•2025

  • Public values and sector service delivery preferences

    Open Access•Jaclyn Piatak, Colt Jensen•Public Administration Review•2024

  • Challenges When Using Grounded Theory

    Open Access•Virpi Timonen, Geraldine Foley et al.•International Journal of…•2018

Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae