Jun Yan

Papers

Total Citations

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About

Jun Yan is a leading researcher in human-computer interaction, with a particular focus on the emotional dynamics between users and conversational agents. His most-cited work, "Emotional Communication Between Chatbots and Users: An Empirical Study on Online Customer Service System" (2022), has garnered 12 citations, establishing a foundational framework for understanding how emotional exchanges shape user satisfaction and trust in automated service systems. Yan's contributions bridge affective computing and practical UX design, demonstrating that chatbots capable of empathetic responses significantly improve customer retention and perceived service quality. His research has been instrumental in advancing the design of emotionally intelligent AI interfaces, influencing both academic discourse and industry practices in customer service automation. Yan's work is widely recognized for its empirical rigor and real-world applicability, making him a key voice in the ongoing evolution of human-AI interaction.