Tze Wei Liew
Papers
2
Total Citations
100
H-Index
2
About
Tze Wei Liew is a leading researcher at the intersection of human-computer interaction, artificial intelligence, and educational technology. His work focuses on how social cues and personality dynamics shape human-agent interactions, particularly in virtual learning environments. Liew’s systematic review on social cues for designing expert and competent artificial agents (2021, 64 citations) provides a foundational framework for creating more effective and trustworthy AI systems. His influential study on virtual agents with personality (2016, 36 citations) demonstrates how adapting agent personality to match learners—based on similarity-attraction principles—significantly enhances engagement and learning outcomes. By applying the media equation to human-agent relationships, Liew has shown that virtual agents are not merely tools but social actors whose design must account for psychological nuances. His work bridges cognitive science, AI design, and pedagogy, offering practical guidelines for developing intelligent tutoring systems and conversational agents. With growing citation impact, Liew continues to shape how researchers and developers build more natural, effective, and socially intelligent artificial agents for education and beyond.
Research Focus
Key Achievements
Top Papers
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