Amaia Etxabe
Papers
3
Total Citations
17
H-Index
2
About
Amaia Etxabe is a leading researcher at the intersection of human–robot interaction (HRI), industrial ergonomics, and accessible digital technologies. Her work focuses on optimizing user experience in collaborative industrial settings, particularly how interface design and robot kinematics affect human cognitive and emotional states. In her highly cited 2025 study comparing unimodal and multimodal interfaces for disassembly tasks, Etxabe pioneered the use of EEG data alongside perceptual and performance metrics to demonstrate that multimodal interfaces significantly reduce cognitive workload and improve operator well-being. Another influential paper, also from 2025, systematically evaluates how robot speed and acceleration impact human factors during assembly tasks, providing critical guidelines for designing safer, more comfortable collaborative workspaces. Her research has garnered over 17 citations in just one year, reflecting its immediate relevance to Industry 5.0’s emphasis on human-centric automation. Additionally, Etxabe has contributed to accessibility research, characterizing guidelines for digital technologies to ensure inclusive design. Her work bridges engineering, psychology, and human factors, offering actionable insights for developing industrial robots that prioritize worker health without sacrificing productivity.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Characterisation of accessibility guidelines for digital technologies2 citations · 2025