Nahoko Takada
Papers
1
Total Citations
3
H-Index
1
About
Nahoko Takada is a researcher at the forefront of human factors engineering and neuroergonomics, with a primary focus on predicting human error in complex, high-stakes work environments. Her most-cited work, "Human Error Prediction Using Heart Rate Variability and Electroencephalography" (2022), addresses a critical challenge in the age of automation: as autonomous systems take over routine tasks, human workers are increasingly responsible for complex, dynamic responsibilities—often before achieving full proficiency. Takada’s key contribution lies in developing a non-invasive, real-time method to predict performance failures by integrating physiological signals such as heart rate variability (HRV) and electroencephalography (EEG). This approach offers a proactive tool for enhancing workplace safety and efficiency, particularly in sectors like aviation, manufacturing, and healthcare. While her citation count is still growing—with 3 citations on her most-cited paper—her work is notable for its timely relevance and interdisciplinary rigor, bridging cognitive science, biomedical engineering, and occupational psychology. Takada’s research is paving the way for adaptive systems that can anticipate human error before it occurs, making her a promising voice in the future of human-automation collaboration.
Research Focus
Key Achievements
Top Papers
- 1