Chinese Traditional Clothing Culture and the Improvement of Contemporary College Students' Aesthetic Taste and Cultural Confidence

With the integration of multiple cultures under the background of globalization, the aesthetic standards of contemporary college students are becoming more diverse, but their understanding and appreciation of Chinese traditional clothing culture are generally insufficient, and the construction of cultural confidence also faces certain challenges. The existing traditional cultural communication methods are relatively single, lacking interactive and immersive experience, and it is difficult to stimulate students' interest and identity. To this end, this paper introduces the integration of artificial intelligence and the Internet of Things to innovate the traditional clothing culture communication model and enhance college students' aesthetic taste and cultural confidence. This study constructs an "intelligent clothing cognition and aesthetic improvement experimental platform", uses computer vision technology (such as image recognition and style transfer) to identify traditional clothing types and pattern features, and uses Internet of Things devices (intelligent mirrors, wearable terminals) to achieve virtual try-on and interactive experience. At the same time, the pre- and post-test analysis is designed, focusing on the three dimensions of clothing cognition, aesthetic evaluation, and cultural attitude, and an eight-week experimental teaching activity is carried out, and SPSS is used for data comparison and analysis. The experimental results show that the interest score of the AI intelligent clothing virtual try-on experience in the pre-test is 6.2, and the post-test increases to 8.5, an increase of 37.1%. This activity provides an innovative interactive experience by introducing modern technology, which greatly stimulates students' interest.