Excited to share that we received a National Science Foundation (NSF) award for our "EAGER:TaskDCL: Neuroadaptive Context-Aware Human-Robot Collaboration: Mitigating Surgeons' Mental Overload in Robotic-Assisted Surgery". This project spans multiple disciplines and involves Co-PI Dr. Xiaoyu Chen from University at Buffalo Industrial and Systems Engineering , Dr. Ahmed Aly Hussein from Roswell Park Comprehensive Cancer Center (Subaward). This research aims to design neuroadaptive robotic-assisted surgery by enabling the robot's awareness of the surgical context, with the aim of understanding: (1) how to monitor different surgeons’ cognitive workload levels, (2) how to understand the cause of increased cognitive workload, and (3) how to perform interventions to mitigate cognitive overload. By leveraging multi-modal sensor data, human factors modeling, and artificial intelligence, the ultimate goal of this project is to refine the implementation of these life-saving remote surgery techniques, ensuring that they are more effective, adaptable, and safe.I am hiring a Ph.D. student to work on this project, with a specific focus on applying human factor knowledge and AI to design adaptive human-robot interaction system. Please reach out to me at [email protected] if you would like to get involved.https://lnkd.in/gTB8RBzv…more