About Us
01
Vision
What we think about
We research & engineer cyber-human systems amplifying human abilities.
Our research at the University of Cambridge focuses on systems able to augment – rather than replace – human abilities and improve workforce performance in industrial contexts. Examples include new hybrid systems for on-the-job training, guidance and decision making. We seek to advance knowledge by developing novel assistance systems and by experimentally testing ideas at a human-technology systems level in the lab and in industry.
Our team’s research has received the Institute for Manufacturing’s Research Excellence Award 2019 and 2023, the Best Paper Award at the 2020 IEEE International Conference on Human-Machine Systems, and the Journal Best Paper Honorable Mention Award at the 2024 IEEE International Symposium on Mixed and Augmented Reality and was nominated for the Best Paper Award at the 2020 & 2021 IEEE International Conference on Industrial Engineering and Engineering Management.
