Speech Control for Surgical Robots
Author Information
Author(s): Kim Young Gyun, Shim Jae Woo, Gimm Geunwu, Kang Seongjoon, Rhee Wounsuk, Lee Jong Hyeon, Kim Byeong Soo, Yoon Dan, Kim Myungjoon, Cho Minwoo, Kim Sungwan
Primary Institution: Seoul National University
Hypothesis
The proposed methods can improve the discontinuous surgical flow when the surgeons use the da Vinci surgical system.
Conclusion
The speech-mediated method using the SRCI can replace the traditional method using the MTMs in da Vinci surgical system, enabling continuous surgical flow during robotic operations.
Supporting Evidence
- The proposed method reduced completion times in tasks by 44.72% and 26.59% compared to the traditional method.
- Positive results were observed in usability questionnaires for the proposed method.
- Statistically significant differences were found in workload indicators, showing reduced physical demands.
Takeaway
This study shows that using voice commands to control surgical robots can make surgeries faster and easier for doctors.
Methodology
Surgeons and novices performed tasks using both traditional and proposed methods, and their performance was evaluated through completion times and questionnaires.
Limitations
The study was limited to a specific group of participants and may not generalize to all surgical contexts.
Participant Demographics
38 participants, including 20 surgeons and 18 novices, with a majority being male.
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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