Kechang Fu

Chengdu University of Information Technology

Papers

Total Citations

H-Index

About

Kechang Fu is a researcher specializing in artificial intelligence, with a particular focus on artificial emotion, intelligent agent behavior, and human-computer interaction. Fu's work explores one of AI's most nuanced frontiers: the integration of emotion and personality into computational systems to create more believable and effective interactions between humans and machines. Fu's most notable contribution, "Behavior Decision Model of Intelligent Agent Based on Artificial Emotion" (2010), has garnered 10 citations and argues compellingly that emotion must be embedded within an agent's reasoning process if it is to authentically emulate human behavior. This work positions Fu within a growing wave of researchers recognizing that cold, logic-driven AI is insufficient for naturalistic human-robot interaction. Complementing this, Fu developed an emotion and personality model grounded in Hidden Markov Models, treating emotional processes as double random processes — a mathematically elegant approach to capturing the unpredictability inherent in human affect. Together, Fu's three key publications from 2010 form a cohesive research program that bridges cognitive science and AI engineering. Though still accumulating citations, Fu's interdisciplinary perspective offers a valuable foundation for students and researchers working at the intersection of affective computing, intelligent systems, and human-computer interaction.