Tianyi Yuan

Papers

Total Citations

711

H-Index

About

Tianyi Yuan is a leading researcher in artificial intelligence literacy and human–AI interaction, with a focus on understanding how ordinary users engage with AI technologies. Their most influential work, the 2022 paper "Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale," has garnered over 700 citations, establishing a foundational framework for assessing AI literacy among non-experts. By developing and validating a quantitative scale, Yuan provided researchers and educators with a reliable tool to measure user competence in an era where AI permeates daily life. This contribution has been instrumental in shaping curriculum design, policy discussions, and user training programs worldwide. Yuan’s research bridges the gap between technical AI development and human-centered adoption, emphasizing the importance of user readiness in the responsible deployment of AI systems. Their work continues to influence studies on digital literacy, human–computer interaction, and technology education, making them a pivotal figure in ensuring that AI advancements are accessible and understandable to all.