Zichun Guo

Beijing University of Chemical Technology

Papers

Total Citations

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About

Zichun Guo is a pioneering researcher at the intersection of human-computer interaction, affective computing, and assistive technology. Her work centers on enhancing social communication for vulnerable populations, particularly through embodied emotional interaction and virtual human systems. Guo’s most cited paper, “Avatar to Person” (ATP) Virtual Human Social Ability Enhanced System for Disabled People (2021, 11 citations), introduces a groundbreaking framework that leverages AI-driven avatars to improve social connectivity for individuals with disabilities, addressing a critical gap in accessible communication technologies. Her subsequent work, “Exploring Embodied Emotional Communication: A Human-Oriented Review of Mediated Social Touch” (2025, 6 citations), provides a comprehensive synthesis of how mediated touch can foster emotional bonds in digital environments, laying theoretical groundwork for future haptic and robotic interfaces. Though early in her career, Guo’s contributions are notable for their human-centered design philosophy and potential to reshape assistive AI. Her research not only advances technical systems but also prioritizes ethical, empathetic interaction—a rare and vital perspective in the AI era. With growing citation impact, Guo is establishing herself as a key voice in socially assistive robotics and inclusive technology design.