Papers
1
Total Citations
6
H-Index
1
About
Dr. Aihua Zhang is a leading scholar at the intersection of artificial intelligence, human-computer interaction, and service innovation. Her research primarily investigates how users perceive and trust AI applications, with a particular focus on the design and deployment of intelligent service robots. In her highly cited 2022 work, "To Be Human-like or Machine-like? An Empirical Research on User Trust in AI Applications in Service Industry," Dr. Zhang empirically examines the critical balance between human-like and machine-like features in AI systems. She demonstrates how anthropomorphic design influences users' perceptions of intelligence and, consequently, their trust in robotic service agents. This foundational study, which has garnered 6 citations, provides essential guidance for designing AI that is both effective and trustworthy in real-world service contexts. By bridging psychological theory with practical engineering, Dr. Zhang’s work directly informs the development of more intuitive and accepted AI technologies, making her a vital contributor to the future of human-centered AI in the service industry.
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