Research On Human Factors Engineering Design Of Hospital Virus Disinfection Intelligent Robo

With the spread of the novel coronavirus outbreak,the demand for disinfection and epidemic prevention products in hospitals is growing rapidly,and intelligent robots can deal with acute medical safety problems caused by virus infection.At present,the research direction in the field of disinfection robot is more inclined to technical innovation and principle application,and its man-machine safety problems are less involved,and the design of interactive interface and interaction mode has no scientific strategy principles,which leads to the increase of working pressure of medical workers,cleaning workers difficult to use,and brings bad user experience to users.How to improve the operation efficiency and user experience effect of hospital elimination intelligent robot under safe conditions,according to the needs of different types of users,put forward the safe interface design strategy of hospital elimination robot is the focus of this research.Based on the theory and method of human factors engineering,this paper uses the decision tree model,Carnot model and FBS diffraction model to study user needs,establishes the decision Carnot model based on user preferences,puts forward the interface design elements of intelligent robot in hospital disinfection,and makes an in-depth study on the man-machine safety in the process of operation.First of all,in-depth analysis of the domestic intelligent killing robot development status and existing problems.The field research method is used to define the target users and use scenarios,and the focus interview method and questionnaire survey method are used to study and analyze the users’ emotional preference for the elimination robot.Chi-square test and Pearson correlation coefficient were used to calculate the correlation between the basic attitude characteristics of the users towards the elimination robot,the basic demand decision tree model was built,the user demand hierarchy was divided,and the user preference types were calculated by Carnot model,and the functional design elements were obtained.Secondly,hierarchical task analysis method and cognitive task analysis method were used to study the man-machine operation safety,to construct the theoretical model framework for the design and evaluation of the operation safety of the extinguishing robot,and to propose a design strategy based on the four safety index elements of functional requirements,morphological structure,appearance color and human-machine interaction.It provides a reference for the basic theory research and design practice of hospital public environment intelligent elimination robot ergonomics.On this basis,FBS diffraction model is used to transform "demand-function-design",so as to guide the completion of design practice.Finally,the usability of the interface design was evaluated by satisfaction questionnaire,and the evaluation results showed that the human-computer interface of hospital elimination intelligent robot had good usability.Combining decision tree model and Carnot model,hierarchical task analysis and cognitive task analysis are introduced to propose a safety design strategy,which can shorten the design cycle of robot interface,improve the safety of robot operation,and reduce the working pressure of users.To improve the interaction mode of elimination robot,provide a certain theoretical basis and practical reference value for the study of intelligent elimination robot interface and operation safety.