Mohammad Babamiri
Papers
3
Total Citations
37
H-Index
3
About
Mohammad Babamiri is a leading researcher at the intersection of human factors, industrial robotics, and occupational psychology. His work focuses on understanding the psychological and social determinants of human-robot collaboration in future workplaces, particularly within Industry 4.0. Babamiri’s major contributions include pioneering research on the mediating role of trust between system usability and workers’ willingness to use robots, demonstrating that trust is a critical bridge in technology adoption. His most cited paper (2022, 29 citations) also reveals that age and attitudes toward STARA (Smart Technology, Artificial Intelligence, Robotics, and Algorithms) significantly moderate this relationship. Beyond general stress scales, Babamiri developed a novel questionnaire specifically designed to measure stress in human-robot interaction (2024), addressing a gap in domain-specific assessment tools. He has also extended the emic/etic personality concept to predict robot acceptance, showing that culturally nuanced personality traits influence willingness to collaborate. His work is vital for designing user-centered robotic systems that foster trust and reduce anxiety, directly impacting the safe and effective integration of robots in industrial settings.
Research Focus
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