Research On Ecological Interface Design Of Automobile Auxiliary Driving System Based On Cognitive Load Theory

With the improvement of people’s living standard and technology innovation,the number of cars in the world has increased unprecedentedly,and the number of traffic accidents has also been increasing.As a system to ensure safe driving,the car-assisted driving system is increasingly rich in functions and contains more complex information,which caused driver’s perception of interface is more difficult.The cognitive load is presented too high or too low,making the driver less efficient in processing information and losing control of the surrounding driving environment,resulting in safety hazards.Therefore,how to use an effective interface design to make the driver’s cognitive load during viewing and operating the interface in a reasonable state,and to obtain and process information more effectively,and to improve the efficiency of safe driving is the focus of current research.Firstly,this paper Through the investigation of the typical car-assisted drivi ng system in the market,the general composition and principle of the system are analyzed.And systematically sort out the categories,functions,and informati on content of major subsystems,Using the vehicle,environment,system,and dri ver as basic elements,build a common information architecture for the car-assi sted driving system,Analysis shows that it has complex information content and high difficulty;Secondly,based on the driving information cognitive processing process,th e driver’s cognitive load causes and influencing factors are analyzed,including the number,complexity,and level of interface information,while the driver wit h too high and low cognitive load is in imbalance.Impact on driving efficienc y,safety,and utilization of transportation resources,can optimize cognitive load by integrating information;Thirdly,based on the characteristics of ecological interface,such as system aticness,sustainability,and ability to optimize cognition,we propose to balance the cognitive load through ecological interfaces and enhance situational awaren ess.Cognitive load balancing mechanism and strategy are constructed,including reasonable adjustment of interface information content strength,optimization hi erarchy structure and performance forms,etc.,in order to achieve the purpose of adjusting the internal cognitive load,reducing the external cognitive load,an d enhancing the relevant cognitive load.Using the SRK classification method,AH abstract level analysis and other ecological interface design methods,taking the subsystem adaptive cruise control system as an example,it explores the d esign framework of its ecological interface information content,organization me thods,and presentation methods,and uses a full touch screen digital interface.As a carrier,build interactive prototypes with different complex traffic conditio ns;Finally,based on eye movement tests,NASA-TLX cognitive load scales,a nd 3D-SART situational awareness scales,the cognitive load of the design interface group and the reference group interface was measured for novice,interme diate,and skilled drivers.Situational awareness is compared and assessed.The experimental results show that the cognitive load of the design interface is low er,the degree of change is not obvious,and the situational awareness is signifi cantly higher than that of the control group when different driving groups are dealing with traffic events with different levels of complexity.