Zhixing Li
Papers
1
Total Citations
8
H-Index
1
About
Zhixing Li is a pioneering researcher at the intersection of human-robot interaction, cognitive neuroscience, and personality psychology. Their work fundamentally explores how individual differences—particularly the personality trait of openness—shape human trust in autonomous systems. Li’s most cited study (2024, 8 citations) is a landmark multimodal investigation that uniquely combines psychological surveys, task performance metrics, visual behaviour tracking, and cerebral activation data to reveal how users’ openness interacts with robot reliability to influence trust. This integrative approach has set a new standard for studying trust in human-robot teams, moving beyond self-reports to capture real-time neural and behavioural evidence. Li’s contributions are critical for designing adaptive robots that can calibrate their behaviour to match users’ personality profiles, thereby enhancing safety and collaboration in domains like healthcare, manufacturing, and autonomous driving. By bridging personality theory with neuroergonomics, Li is helping to create more intuitive, trustworthy machines. Their work is increasingly cited by engineers, psychologists, and roboticists seeking to build human-centred AI that respects and responds to the rich variability of human nature.
Research Focus
Key Achievements
Top Papers
- 1