Eduarda Pereira
Papers
1
Total Citations
22
H-Index
1
About
Eduarda Pereira is a leading researcher at the intersection of human–robot collaboration (HRC) and cognitive ergonomics, with a primary focus on understanding and optimizing the human operator’s mental state in automated environments. Her most cited work, a 2025 systematic literature review on capturing mental workload through physiological sensors in HRC, has already garnered 22 citations, establishing her as a key voice in this emerging field. Pereira’s major contribution lies in synthesizing disparate sensor-based methodologies—such as eye-tracking, heart rate variability, and electrodermal activity—to create a comprehensive framework for assessing cognitive load during collaborative tasks. This work is critical for designing safer, more efficient human–robot teams, particularly in manufacturing and logistics. By highlighting the evolution of worker demands as robots assume complex roles, Pereira’s research directly informs the development of adaptive automation systems that respond to human cognitive states. Her systematic review not only maps current technologies but also identifies critical gaps, setting a clear agenda for future studies. Pereira’s impact is evident in the rapid uptake of her findings, which are shaping both academic discourse and practical guidelines for human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1