Xiaotong Guo

Xi'an University of Architecture and Technology

Papers

Total Citations

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About

Xiaotong Guo is a pioneering researcher in human-robot collaboration, with a primary focus on trust dynamics and automation in construction and industrial settings. Their most-cited work, "Human trust effect in remote human–robot collaboration construction task for different level of automation" (2025), has garnered 4 citations and explores how varying levels of automation influence human trust during remote collaborative tasks—a critical factor for safe and efficient human-robot teamwork. Guo’s contributions lie in quantifying the nuanced interplay between operator confidence and system autonomy, providing foundational insights for designing adaptive robotic systems that foster reliable partnerships. This research has immediate implications for construction, manufacturing, and disaster response, where remote collaboration is essential. By addressing the psychological and operational barriers to human-robot integration, Guo is shaping the future of intelligent automation. Their work, though early in its citation trajectory, signals a growing impact in the field of human-robot interaction, particularly as industries increasingly adopt collaborative robots. Guo’s dedication to bridging human factors and robotic efficiency marks them as a rising voice in engineering and automation research.