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[Purpose/Significance] This study aims to reveal the current state of the electroencephalography (EEG) technology application in the field of library and information science (LIS). By expanding the boundaries of the discipline, it provides insights into the future application of the EEG technology in the LIS field, highlighting its potential to enhance library services and user experience. [Method/Process] The research systematically reviews 65 empirical studies on the application of the EEG technology in the LIS field since the inception of the discipline. These studies were analyzed and organized to reveal the current state of the EEG technology applications in the field. The research examines the methodologies used, the specific applications of EEG in different library environments, and the results of these applications. In doing so, it highlights the role of the EEG technology in the development of intelligent library systems. [Results/Conclusions] This study finds from the 65 literature coding results that the literature on the application of the EEG technology in the LIS field has grown significantly in recent years, with three research foci: first, to study the impact of interface information layout on users' cognitive load and search efficiency; second, to study cognitive behavior in the field of information security; and third, to study the mechanism of followership in human decision making. Future directions and challenges for the application of cognitive neuroscience tools in this area are discussed in order to provide a reference for further applications of the EEG technology in the LIS field. This paper reveals the current research status and characteristics of the EEG technology in the LIS field, fills the gap in the research framework of the EEG technology application, and provides a reference for the further application of the EEG technology. However, the research also acknowledges certain limitations, such as the ambiguity of interpreting EEG research findings in fields such as LIS, and issues related to data privacy and security. These limitations suggest that there are still challenges to be addressed. Therefore, the effective integration of cognitive neuroscience with LIS requires further research and exploration. By providing a comprehensive review and analysis, this study sets the stage for future research that could address current limitations and advance the use of EEG in LIS. The findings underscore the need for interdisciplinary approaches to fully realize the benefits of the EEG technology in understanding and improving user interactions with library systems, ensuring information security, and enhancing decision-making processes in the library context. |
