Da Tao
Papers
1
Total Citations
51
H-Index
1
About
Da Tao is a leading researcher at the intersection of human-robot interaction and social cognition, with a primary focus on how emotional expressions and contextual cues shape trust in autonomous systems. His most-cited work, "In robot we trust? The effect of emotional expressions and contextual cues on anthropomorphic trustworthiness" (2023, 51 citations), has become a foundational reference for understanding how anthropomorphic design influences user perceptions of robot reliability. Tao’s research systematically investigates the psychological mechanisms behind trust formation, demonstrating that subtle emotional cues—such as facial expressions or vocal tones—can significantly alter human willingness to delegate tasks to machines. His contributions extend beyond theoretical frameworks, offering practical guidelines for designing more trustworthy and socially acceptable robots in healthcare, service, and collaborative settings. With a growing citation impact, Tao’s work is increasingly recognized as pivotal in bridging robotics engineering with behavioral science. His studies are frequently cited in top-tier journals and conferences, and he is a sought-after speaker on the ethical implications of anthropomorphic design. For students and researchers, Tao’s research provides a compelling roadmap for exploring how human-like features in technology can both enhance and complicate trust dynamics.
Research Focus
Key Achievements
Top Papers
- 1