DocumentCode :
2554264
Title :
Applying TAFEI method to orthopaedic robot system´s requirements analysis
Author :
Kuang, S.L. ; Hu, L. ; Zhang, S.T. ; Gao, D.H.
Author_Institution :
Dept. of Ind. Eng., Shandong Inst. of Bus. & Technol., Yantai, China
fYear :
2009
fDate :
21-23 Oct. 2009
Firstpage :
66
Lastpage :
70
Abstract :
Medical robot can enhance surgery through improved precision, stability, and dexterity, which has brought great benefits for patients. However, it yields a series of disadvantages to the surgeons, such as the bad eye-hand coordination, the ill-designed workstations etc. All these disadvantages can cause human error during operations, and human error is considered to be the major contributing factor of medical accidents. To improve the safety of the orthopaedic robot system, the task analysis for human error identification (TAFEI) method is used to predict the human error during the requirements analysis stage. By analyzing the potential undesired operations, which will influence the usability of the system, the protection measures are proposed to reduce the errors of the applied system. It is concluded that this method is feasible during the requirements analysis stage of the design.
Keywords :
human-robot interaction; medical robotics; orthopaedics; precision engineering; stability; task analysis; TAFEI method; dexterity; human error; human error identification method; medical accident; medical robot; orthopaedic robot systems requirements analysis; precision; stability; task analysis; Accidents; Error analysis; Humans; Medical robotics; Orthopedic surgery; Robot kinematics; Safety; Stability; Usability; Workstations; hierarchical task analysis; human error; orthopaedic robot system; requirements analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
Type :
conf
DOI :
10.1109/ICIEEM.2009.5344634
Filename :
5344634
Link To Document :
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