Kai Way Li
Papers
1
Total Citations
195
H-Index
1
About
Kai Way Li is a leading researcher in human factors and ergonomics, with a particular focus on the dynamic interplay between humans and automated systems. His most-cited work, “Evaluating Effects of User Experience and System Transparency on Trust in Automation” (2017, 195 citations), is a landmark study that challenged the prevailing view of trust as a static variable. By demonstrating how trust in automation evolves over time and is shaped by user experience and system transparency, Li provided a foundational framework for designing more reliable and user-centered autonomous technologies. This contribution has had a profound impact on fields ranging from robotics to aviation safety. Beyond this, Li’s broader research addresses occupational ergonomics, including manual materials handling and biomechanical risk assessment, where his work has informed workplace safety standards. His ability to bridge theoretical models with practical applications has made his research highly influential, earning widespread citation across engineering, psychology, and human-computer interaction communities. Li’s work continues to guide how we understand and build trust between humans and increasingly intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1