Cognitive Ergonomics
Cognitive ergonomics focuses on optimizing human-machine interaction by aligning technology design with human cognitive capabilities and limitations, aiming to improve safety, efficiency, and user experience. Current research emphasizes the application of cognitive ergonomics principles to human-robot collaboration (HRC) and large language model (LLM) systems, utilizing techniques like EEG analysis to assess cognitive workload and AI-driven vision systems for online monitoring of human-robot interaction. This field is significant for mitigating risks like musculoskeletal disorders in HRC and improving the safety and usability of AI systems, impacting both workplace design and the development of more human-centered technologies.
Papers
Pick the Right Co-Worker: Online Assessment of Cognitive Ergonomics in Human-Robot Collaborative Assembly
Marta Lagomarsino, Marta Lorenzini, Pietro Balatti, Elena De Momi, Arash Ajoudani
Robot Trajectory Adaptation to Optimise the Trade-off between Human Cognitive Ergonomics and Workplace Productivity in Collaborative Tasks
Marta Lagomarsino, Marta Lorenzini, Elena De Momi, Arash Ajoudani