Exploration of the Relationship between College Youth’s Willingness to Use Large Models and their Behavior: Based on the Mediating Effect of Human-Computer Trust

Abstract

As technology advances quickly, large language models are growing fast. College students, who are used to digital tools, use these models more and more, but there are still trust problems.

This study used both surveys and interviews. It built a research model based on human-computer trust theory and the SIRAM model to find out what affects college students’ willingness to use these models, and how trust plays a middle role.

Using SPSS 26.0 and AMOS 26.0 to analyze survey data, we found that cognitive and emotional trust greatly influence usage intention. Factors like usefulness, enjoyment, sociability, and adaptability also affect intention through trust. Interviews looked at how students use the models, trust issues, and ways to build trust, helping improve human-computer relationships.