The symbiosis of efficient information supply and humanistic care in the AI-driven library service systems
Xinheng Song, Jiayuan Guo, Yue Zhang, Zhaolin Lu, Xiao Du, Huaibo Zhu · Information Development · 2025
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.