Abstract
Up to now, there is no widely accepted quantitative evaluation scheme. Nowadays, an objective structured clinical examination has been proposed as a modern type of examination often used in medicine to test skills such as medical procedures, etc. The assessment of skills is realized by practical exams, in which students are evaluated by experienced examiner using a check list. However, the examiner lacks of information which cannot be obtained trough the simple observation of the task. Thanks to the recent advances in robot technology in embedded systems, etc.; more advanced evaluation tools can be conceived. For this reason, at Waseda University, we have proposed the development of a patient robot as an advanced evaluation tool to provide more detailed information of the task. As a first approach of our long-term research target, we have proposed the development of a suture/ligature training system which provides quantitative information of the movement of a dummy skin as well as information of the quality of task. In this paper; we describe the functionalities of the newest version, the Waseda-KyotoKagaku Skin No.2 Refined (WKS-2R), which has been designed to provide quantitative information of the task. In addition, we are proposing a new evaluation function which includes performance indexes and weighting coefficients. As a first approach, the weighting coefficients were determined by using the discriminant analysis. A set of experiments were proposed to confirm the effectiveness of the proposed evaluation function. From the preliminary results, the evaluation function was useful in detecting differences among different levels of expertise as well as detecting improvements during the training process by computing the learning curve.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IEEE International Conference on Robotics and Automation |
| Pages | 1094-1099 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 2008 IEEE International Conference on Robotics and Automation, ICRA 2008 - Pasadena, CA Duration: 2008 May 19 → 2008 May 23 |
Other
| Other | 2008 IEEE International Conference on Robotics and Automation, ICRA 2008 |
|---|---|
| City | Pasadena, CA |
| Period | 08/5/19 → 08/5/23 |
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ASJC Scopus subject areas
- Software
- Control and Systems Engineering
Cite this
Integration of an evaluation function into the suture/ligature training system WKS-2R. / Oshima, Nobuki; Solis, Jorge; Ishii, Hiroyuki; Matsuoka, Noriyuki; Hatake, Kazuyuki; Takanishi, Atsuo.
Proceedings - IEEE International Conference on Robotics and Automation. 2008. p. 1094-1099 4543350.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Integration of an evaluation function into the suture/ligature training system WKS-2R
AU - Oshima, Nobuki
AU - Solis, Jorge
AU - Ishii, Hiroyuki
AU - Matsuoka, Noriyuki
AU - Hatake, Kazuyuki
AU - Takanishi, Atsuo
PY - 2008
Y1 - 2008
N2 - Up to now, there is no widely accepted quantitative evaluation scheme. Nowadays, an objective structured clinical examination has been proposed as a modern type of examination often used in medicine to test skills such as medical procedures, etc. The assessment of skills is realized by practical exams, in which students are evaluated by experienced examiner using a check list. However, the examiner lacks of information which cannot be obtained trough the simple observation of the task. Thanks to the recent advances in robot technology in embedded systems, etc.; more advanced evaluation tools can be conceived. For this reason, at Waseda University, we have proposed the development of a patient robot as an advanced evaluation tool to provide more detailed information of the task. As a first approach of our long-term research target, we have proposed the development of a suture/ligature training system which provides quantitative information of the movement of a dummy skin as well as information of the quality of task. In this paper; we describe the functionalities of the newest version, the Waseda-KyotoKagaku Skin No.2 Refined (WKS-2R), which has been designed to provide quantitative information of the task. In addition, we are proposing a new evaluation function which includes performance indexes and weighting coefficients. As a first approach, the weighting coefficients were determined by using the discriminant analysis. A set of experiments were proposed to confirm the effectiveness of the proposed evaluation function. From the preliminary results, the evaluation function was useful in detecting differences among different levels of expertise as well as detecting improvements during the training process by computing the learning curve.
AB - Up to now, there is no widely accepted quantitative evaluation scheme. Nowadays, an objective structured clinical examination has been proposed as a modern type of examination often used in medicine to test skills such as medical procedures, etc. The assessment of skills is realized by practical exams, in which students are evaluated by experienced examiner using a check list. However, the examiner lacks of information which cannot be obtained trough the simple observation of the task. Thanks to the recent advances in robot technology in embedded systems, etc.; more advanced evaluation tools can be conceived. For this reason, at Waseda University, we have proposed the development of a patient robot as an advanced evaluation tool to provide more detailed information of the task. As a first approach of our long-term research target, we have proposed the development of a suture/ligature training system which provides quantitative information of the movement of a dummy skin as well as information of the quality of task. In this paper; we describe the functionalities of the newest version, the Waseda-KyotoKagaku Skin No.2 Refined (WKS-2R), which has been designed to provide quantitative information of the task. In addition, we are proposing a new evaluation function which includes performance indexes and weighting coefficients. As a first approach, the weighting coefficients were determined by using the discriminant analysis. A set of experiments were proposed to confirm the effectiveness of the proposed evaluation function. From the preliminary results, the evaluation function was useful in detecting differences among different levels of expertise as well as detecting improvements during the training process by computing the learning curve.
UR - http://www.scopus.com/inward/record.url?scp=51649111519&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51649111519&partnerID=8YFLogxK
U2 - 10.1109/ROBOT.2008.4543350
DO - 10.1109/ROBOT.2008.4543350
M3 - Conference contribution
SN - 9781424416479
SP - 1094
EP - 1099
BT - Proceedings - IEEE International Conference on Robotics and Automation
ER -