Research On Interruption Influence And Decision Of Human-computer Interaction And Light Assembly Tasks Based On EEG And NIRS

With the rapid development of science and technology,in the era of the combination of human-computer interaction and production,it brings convenience to people's lives and work,but also makes the working environment of operators more complicated.In the field of human-computer interaction,the popularization of communication devices and networks has brought many conveniences to people's lives,and it has also made everyone's working environment complicated.E-mail notifications,news,advertisements,instant messaging,etc.may interrupt the normal workflow of humans,making the interruption of human-computer interactions more and more common.Not only that,in the actual field of production,it also faces the frequent occurrence of task interruptions.Mass customization and increasingly fierce competition make enterprises adopt multi-variety mixed production to improve market responsiveness.Mixed-flow production requires operators to switch frequently between the production of multiple products and to be in a multi-tasking state for a long time.Random disturbances in the production process are more common.It is easy to distract the attention of the operator,which makes the operator often face work interruptions impact.It can be seen that,whether in the field of human-computer interaction or production,task interruption is often inevitable.It not only interferes with the operator's work efficiency,but also causes the operator's attention resources to shift and return to the original work.Tasks need to consume more cognitive resources,which affects the operator's emotions,attention,and cognitive load.Seriously,it may also lead to human mistakes and it is difficult to ensure the operator's safe work.However,in the previous research on the impact of interruption and management strategy formulation,the main concern was the degree of loss of operator performance.The cognitive load and other physiological conditions of the operator and the underlying neural influence mechanism still need further research.Therefore,we use the knowledge of neuro-ergonomics to study the interruption in related tasks to improve the efficiency and safety of people in life and work.In this paper,from the perspective of neuro-ergonomics and human factors engineering,the technical methods of EEG and NIRS are used to study the behavioral performance and physiological performance of operators when dealing with task interruption in sequential human-machine interactive tasks and light assembly tasks..Firstly,an experimental research on task interruption was carried out through the sequential tasks based on the computer platform.The behavioral performance indicators,EEG indicators of brain electricity and NASA-TLX scale data of participants were analyzed,and the location of interruption and the complexity of the interruption task to the participants.The impact of performance and mental load,and management strategies and countermeasures for interrupted application design are proposed.Then,on the basis of the experimental research of sequential human-computer interaction interruption,under the background of the enterprise's development to intelligent manufacturing and flexible manufacturing,when operators perform light manual assembly tasks,they face frequent task interruptions caused by multitasking.Through the use of the Lego model to simulate the interruption of light assembly operations,the NIRS equipment,EEG equipment and NASA-TLX scale are used to record the operator 's behavior and physiology data to explore the thickness of the breakpoint,the complexity of the interruption task and the frequency of interruption The influence law of operator's behavior performance,mental load and attention resource demand.Finally,based on the experimental results,a comprehensive discussion and management application exploration were conducted respectively,and an interrupt management strategy considering cognitive load was proposed.It provides a reference for enterprises to improve work efficiency,reduce operator's cognitive load,and solve the "human factor" related problems encountered in management interruption.