Title :
Laparoscopic interaction learning model: Decomposing expert surgeon knowledge to develop novice surgeon knowledge comprehension
Author :
Nurmaya ; Wiyartanti, Lisa ; Gyu Hyun Kwon
Author_Institution :
Dept. of HCI & Robot., Univ. of Sci. & Technol. (UST), Daejeon, South Korea
Abstract :
Transferring experts´ surgical procedure knowledge is required to improve novices´ surgical skill in laparoscopic environment. As surgeons have different level of expertise, this differentiation becomes one of the obstacles to the construction of novices´ knowledge comprehension by utilizing experts´ knowledge. To overcome this problem, we decompose experts´ knowledge presentation while aiming to build knowledge comprehension in novices´ surgeon using surgery task model as a knowledge representation of laparoscopic suturing task. The proposed laparoscopic interaction learning model is a mediator of learning that adapts cognitive apprenticeship method. This laparoscopic interaction learning model can be a solution to overcome the problem when delivering experts´ knowledge in laparoscopic environment.
Keywords :
endoscopes; interactive systems; knowledge representation; medical computing; surgery; training; expert surgeon knowledge; knowledge comprehension; knowledge representation; laparoscopic environment; laparoscopic interaction learning model; novice surgeon knowledge; surgical skill; Laparoscopes; Needles; Robots; cognitive apprenticeship; laparoscopic; level of expertise; surgery task model;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
Print_ISBN :
978-89-93215-05-2
DOI :
10.1109/ICCAS.2013.6704024