Study On Reducing Load Of Digital Interface Key Information Based On ERP And Eye-tracking Technology

The increasingly complex human-computer interaction system makes the digital interface inevitable complexity.The huge amount of information poses a challenge to the cognitive performance of the interface.Excessive information significantly increases the cognitive pressure of the operator.Unreasonable interface information coding can easily lead to Cognitive errors,slow feedback and other cognitive overload problems.Based on event-related potential(ERP)and eye movement technology,combined with subjective measurement and behavioral experimental methods,this thesis puts forward the cognitive consumption mechanism and burden reduction strategy of the main information elements of the interface,which is of great significance to improve the work efficiency of the digital interface of human-computer system and reduce human errors.Information coding is the objective way of digital interface information presentation,and the main carrier of cognitive processing.Reasonable information coding is the key way to achieve cognitive burden reduction.In this thesis,we focus on the cognitive mechanism and optimization method of interface information coding.Firstly,the classification and structure of cognitive load are analyzed,and the mapping relationship between cognitive load and information design elements is constructed based on the processing mechanism of visual information in physiological layer;the principle,process and main approaches of information coding are studied,and the experimental paradigm and evaluation model of event-related potential technology and eye movement technology in digital interface cognitive research are summarized to provide reference for cognitive elimination It provides theoretical support for the experimental study of energy dissipation mechanism.Secondly,according to the load reduction framework of the main design elements coding,the experimental research is carried out from the icon semantics,display layout,visual features,color and shape coding,and the luminance contrast between information and background:(1)The feasibility of N400 component as a detection method of icon semantic correlation is verified by ERP technology.(2)Based on the dynamic change of the number of icons,this thesis takes the icon layout and visual characteristics into the scope of the study.Combined with the eye movement experiment,it reveals the influence mechanism of the change of the number of icons on the icon layout and visual characteristics cognitive performance.(3)The pattern symmetry discrimination paradigm and EEG experiments were used to confirm the difference of cognitive processing between color coding and shape coding.(4)A control experiment was designed for different gradient luminance contrast and color combination visual stimulation.The order of cognitive efficiency of each gradient luminance contrast and the additional influence of color combination on visual search task were recorded.The consumption law of luminance contrast and color combination on visual cognition was obtained.Thirdly,According to the analysis of experimental results and relevant theoretical basis,the information coding principle based on cognitive load reduction is established,and the specific load reduction strategy is proposed.Finally,taking the parking monitoring system interface as an example,the iterative optimization scheme is designed according to the information coding principle and interface load reduction strategy,and the feasibility of load reduction strategy is verified by eye movement experiment and behavior experiment.Based on ERP and eye movement physiological experiment technology,this thesis studies the cognitive consumption mechanism of the main coding elements of the interface,and puts forward specific information coding lightening strategies,which helps to improve the usability and cognitive performance of digital interface.