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SYSTEMATIC REVIEW article
Front. Virtual Real.
Sec. Virtual Reality in Medicine
Volume 5 - 2024 |
doi: 10.3389/frvir.2024.1461105
This article is part of the Research Topic A Metaverse for the Good: Design, Application and Understanding View all 6 articles
Exploring the Dynamics of User Experience and Interaction in XR-Enhanced Robotic Surgery: A Systematic Review
Provisionally accepted- 1 Xi'an Jiaotong University, Xi'an, China
- 2 Polytechnic University of Milan, Milan, Lombardy, Italy
- 3 The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
- 4 Capital Medical University, Beijing, Beijing Municipality, China
- 5 Independent University, Bangladesh, Dhaka, Dhaka, Bangladesh
- 6 Delft University of Technology, Delft, Netherlands
Robotic surgery, also known as robotic-assisted surgery (RAS), has rapidly evolved during the last decade. RAS systems are developed to assist surgeons to perform complex minimally invasive surgeries, and necessitate augmented interfaces for precise execution of these image-guided procedures. Extended Reality (XR) technologies, augmenting the real-world perception via integrating digital contents, show promise in enhancing RAS efficacy in various studies. Despite multiple reviews on technological and medical aspects, the crucial elements of human-robot interaction (HRI) and user experience (UX) remain underexplored. This review fills this gap by elucidating HRI dynamics within XR-aided RAS systems, emphasizing their impact on UX and overall surgical outcomes. By synthesizing existing literature, this systematic review study identifies challenges and opportunities, paving the way for improved XR-enhanced robotic surgery, ultimately enhancing patient care and surgical performance.
Keywords: Extended Reality, Robotic-assisted surgery, human-computer interaction, User Experience, Surgical robots
Received: 07 Jul 2024; Accepted: 31 Oct 2024.
Copyright: © 2024 Li, Li, Zheng, Yang, Peng, Fu, Chen, Wang, Chen, Li, Xiong, Breschi, Liu, Shidujaman, Piazzolla, Zhang, De Momi and van Eijk. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Meng Li, Xi'an Jiaotong University, Xi'an, China
Shucheng Zheng, Xi'an Jiaotong University, Xi'an, China
Luxi Yang, Xi'an Jiaotong University, Xi'an, China
Lanqing Peng, Xi'an Jiaotong University, Xi'an, China
Chiyang Fu, Xi'an Jiaotong University, Xi'an, China
Yuexi Chen, Xi'an Jiaotong University, Xi'an, China
Chenxi Wang, Xi'an Jiaotong University, Xi'an, China
Chenyi Chen, Xi'an Jiaotong University, Xi'an, China
Bingyan Li, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
Boyuan Xiong, Xi'an Jiaotong University, Xi'an, China
Sofia Breschi, Polytechnic University of Milan, Milan, 20133, Lombardy, Italy
Yawei Liu, Capital Medical University, Beijing, 100069, Beijing Municipality, China
Pietro Piazzolla, Polytechnic University of Milan, Milan, 20133, Lombardy, Italy
Yu Zhang, Xi'an Jiaotong University, Xi'an, China
Daan van Eijk, Delft University of Technology, Delft, 2628 CD, Netherlands
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