Developing an Intelligent Tutoring System for Robotic-assisted Surgery Instruction
(Room S320D)
28 Nov 18
9:00 AM
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9:30 AM
Robotic-assisted laparoscopic surgery is an operative innovation that has sparked global interest. Over the last decade RALS cases have rapidly increased with over 750,000 robotic procedures completed in 2017. Until recently, Intuitive’s da Vinci surgical system has been the only FDA approved robotic-assisted surgical device for human procedures. Robotic procedures with the da Vinci require a specific, dedicated training due to the introduction of the technological components and psychomotor skills needed to successfully utilize this system. When a surgeon becomes interested in learning robotics there are limited avenues for training. Surgeons typically receive instruction on the necessary psychomotor skills in isolation from the cognitive and perceptual skills, and may only perform these skills in an integrated manner during a single day course.
In this paper we discuss the development of a computer based Intelligent Tutoring System to train the cognitive and procedural skills needed to complete basic robotic suturing to novice robotic surgeons. This system could be used to bridge the training gap between online cognitive training materials and hands-on psychomotor skills training with simulators and robots. The tutoring system could provide novice and intermediate robotic surgeons with intelligent guidance in an easily accessible system to train the cognitive processes and procedural steps behind multiple fundamental robotic surgery skills, to include instrument control, suturing, knot tying, cutting, and sharp dissection. This web-based intelligent tutoring system would serve as a precursor to more advanced tutoring systems, which would reside within a 3D virtual reality simulator of surgery.
This web-based intelligent tutoring system was developed using the Generalized Intelligent Framework for Tutoring framework of tools. The cognitive and psychomotor content for the system was collected from multiple practicing robotic surgeons who performed each tutored task