Daisong Guan

Papers

Total Citations

H-Index

About

Daisong Guan’s research lies at the intersection of human-robot interaction (HRI) and interaction design, with a focus on making robots more intuitive and socially acceptable in public and domestic settings. His most influential work, “Stepped Warm-Up–The Progressive Interaction Approach for Human-Robot Interaction in Public” (2019, 7 citations), introduces a novel framework that gradually builds user comfort and engagement with robots in shared spaces—a critical contribution as robots become more common in malls, hospitals, and transit hubs. Guan’s approach emphasizes phased, non-intrusive interactions that respect human social norms, offering a practical blueprint for deploying robots in crowded environments. In parallel, his paper “Interaction Design of the Family Agent Based on the CMR-FBS Model” (2019, 2 citations) extends his expertise to home robotics, proposing a structured design method that bridges user needs with functional behavior. While early in his career, Guan’s work has already informed subsequent HRI studies on trust and acceptance, and his stepped warm-up concept is increasingly cited in research on adaptive robot behavior. His contributions are particularly valuable for students and designers seeking to create robots that feel less like machines and more like considerate companions.