报告题目：Vibe Coding: AI-Powered Design Doing and Research Innovation

报告时间：11月5日（周三）下午15:00-16:50

报告地点：良乡校区文萃楼103

报告人：Taekyung Kim 教授  庆熙大学

    Professor Taekyung Kim received his Ph.D. in Management Information Systems from Seoul National University. He is currently an Associate Professor at the College of Business, Kyung Hee University. His primary research interests include data science, smart tourism, generative artificial intelligence, and service design innovation. Professor Kim’s academic work has been published in leading international journals such as Information Systems Research, Journal of MIS, International Journal of Information Management, and Electronic Commerce Research and Applications. His recent studies explore the convergence of AI and human-centered design, focusing on how computational tools like Vibe Coding can enhance creativity, research efficiency, and data-driven decision-making in tourism and service innovation contexts.

报告内容简介：

As artificial intelligence increasingly integrates into creative and analytical domains, a new approach called Vibe Coding has emerged — a method that allows users to perform coding, data collection, and analysis through natural language interaction.

This seminar introduces the concept and applications of Vibe Coding in research and design practice, particularly within the context of Service Design & Design Thinking. By leveraging AI’s generative and analytical capabilities, participants will learn how to conduct design-oriented research, gather and analyze consumer data, and translate insights into actionable prototypes — even without any prior programming experience.

Academically, this session aims to explore how AI-mediated interaction can reshape traditional research methodologies by lowering the technical threshold for data-driven inquiry and expanding the accessibility of computational thinking within design education.

This special session emphasizes “Design Doing”, bridging creativity, research, and technology. It highlights how Vibe Coding can democratize data-driven research and empower students and practitioners to transform qualitative insights into quantifiable outcomes efficiently and intuitively.

（承办：技术经济与战略管理系、科研与学术交流中心）