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Han IH, Kim DH, Nam KH, Lee JI, Kim KH, Park JH, Ahn HS. Human-Robot Interaction and Social Robot: The Emerging Field of Healthcare Robotics and Current and Future Perspectives for Spinal Care. Neurospine 2024; 21:868-877. [PMID: 39363467 DOI: 10.14245/ns.2448432.216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 06/15/2024] [Indexed: 10/05/2024] Open
Abstract
Recent advances in robotics technology and artificial intelligence (AI) have sparked increased interest in humanoid robots that resemble humans and social robots capable of interacting socially. Alongside this trend, a new field of robot research called human-robot interaction (HRI) is gaining prominence. The aim of this review paper is to introduce the fundamental concepts of HRI and social robots, examine their current applications in the medical field, and discuss the current and future prospects of HRI and social robots in spinal care. HRI is an interdisciplinary field where robotics, AI, social sciences, design, and various disciplines collaborate organically to develop robots that successfully interact with humans as the ultimate goal. While social robots are not yet widely deployed in clinical environments, ongoing HRI research encompasses various areas such as nursing and caregiving support, social and emotional assistance, rehabilitation and cognitive enhancement for the elderly, medical information provision and education, as well as patient monitoring and data collection. Although still in its early stages, research related to spinal care includes studies on robotic support for rehabilitation exercises, assistance in gait training, and questionnaire-based assessments for spinal pain. Future applications of social robots in spinal care will require diverse HRI research efforts and active involvement from spinal specialists.
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Affiliation(s)
- In Ho Han
- Department of Neurosurgery, Pusan National University School of Medicine, Busan, Korea
- Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Dong Hwan Kim
- Department of Neurosurgery, Pusan National University School of Medicine, Busan, Korea
- Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Kyoung Hyup Nam
- Department of Neurosurgery, Pusan National University School of Medicine, Busan, Korea
- Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Jae Il Lee
- Department of Neurosurgery, Pusan National University School of Medicine, Busan, Korea
- Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Kye-Hyung Kim
- Medical Research Institute, Pusan National University Hospital, Busan, Korea
- Department of Internal Medicine, Pusan National University School of Medicine, Busan, Korea
| | - Jong-Hwan Park
- Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Ho Seok Ahn
- Department of Electrical Computer, and Software Engineering, CARES, University of Auckland, Auckland, New Zealand
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Ding Y, Guo R, Bilal M, Duffy VG. Exploring the influence of anthropomorphic appearance on usage intention on online medical service robots (OMSRs): A neurophysiological study. Heliyon 2024; 10:e26582. [PMID: 38455577 PMCID: PMC10918018 DOI: 10.1016/j.heliyon.2024.e26582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 03/09/2024] Open
Abstract
Online medical service robots (OMSRs) are becoming increasingly important in the medical industry, and their design has become a highly focused issue. This study investigated the neuroeconomics underlying the formation of usage intention, specifically evaluating the impact of anthropomorphic appearance and age on users' intentions to use OMSRs. Event-related potentials were used to analyze electroencephalography signals recorded from participants. This study found that OMSRs with a low anthropomorphic appearance induced larger P200 and P300 amplitudes, resulting in increased attentional resources compared to OMSRs with a moderate or high anthropomorphic appearance. OMSRs with moderate anthropomorphic appearances captured more attention and elicited larger P200 and P300 than those with high anthropomorphic appearances. Regarding age characteristics, OMSRs with senior features attracted more attention and induced larger P200 and P300 amplitudes. In terms of usage intention, compared to the others, users demonstrate a stronger usage intention towards the low anthropomorphism of OMSRs. Additionally, compared to the senior ones, users also exhibit a stronger usage intention toward a young appearance of OMSRs. These findings provide valuable insights for robot designers and practitioners to improve the appearance of OMSRs.
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Affiliation(s)
- Yi Ding
- School of Economics and Management, Anhui Polytechnic University, Wuhu, PR China
| | - Ran Guo
- School of Economics and Management, Anhui Polytechnic University, Wuhu, PR China
| | - Muhammad Bilal
- School of Economics and Management, Anhui Polytechnic University, Wuhu, PR China
| | - Vincent G. Duffy
- School of Industrial Engineering, Purdue University, West Lafayette, IN, USA
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Hemmerling TM, Jeffries SD. Robotic Anesthesia: A Vision for 2050. Anesth Analg 2024; 138:239-251. [PMID: 38215704 DOI: 10.1213/ane.0000000000006835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2024]
Abstract
The last 2 decades have brought important developments in anesthetic technology, including robotic anesthesia. Anesthesiologists titrate the administration of pharmacological agents to the patients' physiology and the needs of surgery, using a variety of sophisticated equipment (we use the term "pilots of the human biosphere"). In anesthesia, increased safety seems coupled with increased technology and innovation. This article gives an overview of the technological developments over the past decades, both in terms of pharmacological and mechanical robots, which have laid the groundwork for robotic anesthesia: target-controlled drug infusion systems, closed-loop administration of anesthesia and sedation, mechanical robots for intubation, and the latest development in the world of communication with the arrival of artificial intelligence (AI)-derived chatbots are presented.
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Affiliation(s)
- Thomas M Hemmerling
- From the Department of Experimental Surgery, McGill University Health Center, Montreal, Quebec, Canada
- Department of Anesthesia, McGill University, Montreal, Quebec, Canada
| | - Sean D Jeffries
- From the Department of Experimental Surgery, McGill University Health Center, Montreal, Quebec, Canada
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