Yipeng Xi
Papers
1
Total Citations
34
H-Index
1
About
Yipeng Xi is a rising scholar at the intersection of human-computer interaction, artificial intelligence, and consumer behavior. Their research primarily investigates how users form expectations and develop trust in AI-driven technologies, with a particular focus on conversational agents and chatbots. Xi’s most-cited work, "Pathways linking expectations for AI chatbots to loyalty: A moderated mediation analysis" (2024), has already garnered 34 citations, offering a nuanced framework for understanding how pre-use expectations shape post-interaction loyalty through mediating mechanisms like perceived usefulness and satisfaction. This study stands out for its rigorous moderated mediation design, revealing critical boundary conditions—such as user tech-savviness—that amplify or dampen these effects. By bridging expectancy-disconfirmation theory with AI-specific contexts, Xi provides actionable insights for designers and marketers aiming to foster sustained user engagement. Their work is particularly timely as organizations increasingly deploy chatbots for customer service, highlighting the delicate balance between managing user expectations and delivering genuine value. Xi’s contributions are helping to define a new research agenda on AI-mediated relationships, making them a key voice in understanding how humans bond with intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1