Realization of Virtual Reality Technology in College Students' Social Anxiety Intervention Platform based on SQL Information Sequence Data Mining
Xueqin Ding, Shuanghua Shen, Guangxi Cui, Yulan Wang, Jiajia Tan, Qian Zhong · 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) · 2022
In this paper, under the framework of SQL information sequence mining, combined with well-known social anxiety scales at home and abroad, a social anxiety question bank and its computerized adaptive test (CAT-SA) are constructed. The IRT analysis includes: unidimensionality test, item model-data fitting test, local independence test, DIF test, and selecting items that meet the IRT requirements to construct a social anxiety question bank and its CAT. According to the two-stage adaptive assessment with similar significance in the evaluation scene design, the ITC_SoPI scale was used to evaluate the individual's degree of adaptation and subjective feeling to the virtual environment. VR-based social anxiety assessment can provide more detailed and comprehensive assessment information and data, and the assessment results are doser to the self-assessment scale and the individual's daily life and state.