TY - GEN
T1 - Research on the Interface Design of a Situational Awareness-Based Spinal Endoscopic Surgery Robot
AU - Wang, Yirui
AU - Cao, Jinyun
AU - Wang, Yixuan
AU - Hao, Yawei
AU - Yang, Jianming
AU - Li, Saisai
AU - Tan, Jiayi
AU - Sun, Bowen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Objective: Through the research, practice, and evaluation of the design of a human-machine interaction interface for a situational awareness-based spinal endoscopic surgery robot, this study aims to provide guidance for the design of human-machine interfaces for surgical robots. Methods: Focusing on the SNS interface in spinal endoscopic surgery as the primary subject of research, we identified the process and application scenarios of doctors using this function during surgery through field research and literature review. We then developed two functional frameworks and human-machine interfaces based on augmented reality algorithms. Finally, eight participants took part in an evaluation of the surgical human-machine interface. Feasibility verification was conducted through objective performance evaluation and subjective scale testing (3D-SART and NASA-TLX scales) on information architecture design, prototype output, and rendering design practices. Conclusion: Through the design of a human-machine interaction interface for a spinal endoscopic surgery robot based on augmented reality, the usability of the interface can be improved, reducing the cognitive load of operators.
AB - Objective: Through the research, practice, and evaluation of the design of a human-machine interaction interface for a situational awareness-based spinal endoscopic surgery robot, this study aims to provide guidance for the design of human-machine interfaces for surgical robots. Methods: Focusing on the SNS interface in spinal endoscopic surgery as the primary subject of research, we identified the process and application scenarios of doctors using this function during surgery through field research and literature review. We then developed two functional frameworks and human-machine interfaces based on augmented reality algorithms. Finally, eight participants took part in an evaluation of the surgical human-machine interface. Feasibility verification was conducted through objective performance evaluation and subjective scale testing (3D-SART and NASA-TLX scales) on information architecture design, prototype output, and rendering design practices. Conclusion: Through the design of a human-machine interaction interface for a spinal endoscopic surgery robot based on augmented reality, the usability of the interface can be improved, reducing the cognitive load of operators.
KW - Augmented Reality
KW - Interaction Design
KW - Situational Awareness
KW - Spinal Surgery Robot Human-Machine Interface
UR - http://www.scopus.com/inward/record.url?scp=85182587500&partnerID=8YFLogxK
U2 - 10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361500
DO - 10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361500
M3 - Conference contribution
AN - SCOPUS:85182587500
T3 - 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023
SP - 883
EP - 888
BT - 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023
Y2 - 14 November 2023 through 17 November 2023
ER -