Ping Dong

University of Science and Technology Beijing

Papers

Total Citations

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About

Ping Dong is a pioneering researcher in the emerging field of affective computing, with a specialized focus on artificial emotion modeling and human-robot interaction. Their foundational work, "Fundamental Analysis of Affective Computing Mathematical Model" (2004, 3 citations), introduced a novel approach to artificial psychology by applying Markov theory to model human emotional states as probabilistic processes—a key contribution to constructing more lifelike virtual humans. Dong further advanced the field with "The Research Of Interactive System Of Emotional Robot Based On Multi-agent" (2006, 2 citations), which proposed a multi-agent architecture for emotional robots, integrating affective models, learning mechanisms, and perception agents to enable more natural human-computer interaction. Though their citation counts are modest, Dong’s early theoretical frameworks laid important groundwork for the development of emotionally intelligent systems, particularly in modeling the dynamic, probabilistic nature of human affect. Their work remains relevant for researchers exploring computational models of emotion, affective robotics, and virtual human technologies—offering foundational concepts that continue to inform the design of more empathetic and responsive artificial agents.