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The impact of the development of smart libraries on readers’ social anxiety disorders

Published online by Cambridge University Press:  27 October 2023

Hao Wan*
Affiliation:
Shandong University of Science and Technology, Qingdao 266590, China
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Abstract

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Background

Social anxiety disorder, as a psychological disorder, is often related to the patient’s growth experience. Smart libraries utilize the Internet and artificial intelligence to provide readers with a platform for knowledge and spatial exchange, breaking traditional interpersonal communication and providing personalized services and communication for readers with social anxiety disorders.

Subjects and Methods

To study the digital management method based on smart libraries, data were collected from 150 readers with social anxiety disorder in a university’s smart library from July 2020 to July 2021, and they were divided into a control group and an experimental group for experimental analysis. We conducted tests using the Communication Anxiety Scale and the Eysenck Emotional Stability Test and analyzed the data using SPSS23.0.

Results

After completing the collection and analysis of data related to readers with social anxiety disorder, compared to the control group, the experimental group had lower anxiety scores on the communication scale (P<0.05) and lower scores on the anxiety level self-evaluation were all below 6 points (P<0.001). The results indicate that smart libraries can alleviate readers’ social anxiety disorders.

Conclusions

Smart libraries reduce communication between patients, managers, and other readers through digital services, creating a more comfortable and relaxed reading space for readers with social anxiety disorders. Therefore, the development of smart libraries can effectively reduce the level of communication among readers with social anxiety disorders and build a more comfortable reading platform for them.

Acknowledgement

The Talents Introduction Research Project of Shandong University of Science and Technology in 2017 (2017RCJJ094).

Type
Abstracts
Copyright
© The Author(s), 2023. Published by Cambridge University Press