Liu Haijuan

Papers

Total Citations

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About

Liu Haijuan’s research lies at the intersection of affective computing and human-robot interaction, with a particular focus on emotion generation mechanisms for robotic systems. Her most-cited work, "A Robot Emotion Generation Mechanism Based on PAD Emotion Space" (2008, 8 citations), introduces a pioneering framework that maps robotic emotional states using the Pleasure-Arousal-Dominance (PAD) model. This contribution provides a structured, computationally tractable method for enabling robots to exhibit contextually appropriate emotional responses, advancing the field of socially intelligent robotics. By grounding robot emotions in a psychological model, Liu’s work bridges cognitive science and engineering, offering a foundation for more natural human-robot communication. Though her citation count reflects the niche and early-stage nature of her research, the conceptual impact of her PAD-based approach has informed subsequent studies in affective robotics and artificial emotional intelligence. Liu’s dedication to formalizing emotional dynamics in machines underscores her role in shaping how robots can better understand and express emotions, a critical step toward empathetic human-robot collaboration.