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An Overview of Minimally Invasive Surgery Robots from the Perspective of Human–Computer Interaction Design

Bowen Sun, D. Li, Bowen Song, Saisai Li, Changsheng Li, Chao Qian, Qian Lü, Xia Wang

Year
2023
Citations
3
Access
Open access

Abstract

In order to streamline and summarize the status quo of human–computer interaction (HCI) design research in minimally invasive surgery robots, and to inspire and promote in-depth design research in related fields, this study utilizes literature research methods, inductive summarizing methods, and comparative analysis methods to analyze and organize the usage scenarios, users, interaction content and form, and relevant design methods of minimally invasive surgery robots, with the purpose of arriving at a review. Through a summary method, this study will obtain outcomes such as design requirements, interaction information classification, and the advantages and disadvantages of different interaction forms, and then make predictions of future trends in this field. Research findings show that the HCI design in the relevant field display a highly intelligent, human-centered, and multimodal development trend through the application of cutting-edge technology, taking full account of work efficiency and user needs. However, meanwhile, there are problems such as the absence of guidance by a systematic user knowledge framework and incomplete design evaluation factors, which need to be supplemented and improved by researchers in related fields in the future.

Keywords

Computer scienceStatus quoHuman–computer interactionField (mathematics)Perspective (graphical)RobotHuman–robot interactionArtificial intelligence

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