Noraidah Blar

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Noraidah Blar is a researcher exploring the evolving frontier of human-robot collaboration, with a particular focus on educational and industrial applications. Her work centers on two key areas: the integration of robot teachers into educational systems and the analysis of human emotional states during human-robot interaction. In her most cited paper, "Robot and human teacher" (2014, 11 citations), Blar examines how robot teachers can enhance traditional teaching methods, proposing frameworks to measure their effectiveness alongside human educators. Her subsequent studies, including "Analysis of Human Emotion State in Collaboration with Robot" (2013, 3 citations) and "Analysis of human emotion in human-robot interaction" (2015, 2 citations), delve into the critical need for robots to perceive and respond to human emotions for seamless collaboration, particularly in manufacturing and healthcare settings. While her citation counts are modest, Blar’s work addresses a foundational challenge in robotics: enabling machines to understand human affect for safer, more intuitive teamwork. Her research contributes to the growing discourse on empathetic AI and the future of human-robot partnerships in high-stakes environments.