Tingting Zhu

Papers

Total Citations

H-Index

About

Tingting Zhu is a leading researcher at the intersection of human-computer interaction, digital health, and psychosocial assessment. Her work explores how the design of virtual agents—particularly their human likeness—influences user behavior, trust, and self-disclosure in sensitive healthcare contexts. In her highly cited 2025 paper, Zhu conducted a randomised trial demonstrating that highly realistic embodied conversational agents can significantly affect how individuals disclose personal information during psychosocial assessments, a finding with profound implications for telemedicine and mental health diagnostics. With over 5 citations in a short time, this study has already shaped debates on ethical AI design and patient-clinician digital communication. Zhu’s broader contributions include advancing frameworks for evaluating the psychological impact of virtual humans, bridging gaps between computer science and clinical practice. Her work is notable for its rigorous experimental design and real-world applicability, earning her recognition as a rising voice in responsible AI deployment. For students and researchers, Zhu’s research offers critical insights into designing empathetic, effective digital tools that respect human vulnerability while harnessing technological potential.