| In this era of rapid development of technology,the application of artificial intelligence has injected fresh blood into traditional enterprises,and intelligent vehicles have become the most promising development direction of traditional automobile enterprises.However,due to the lack of technology and relevant laws and regulations,intelligent vehicles will be in the transition stage of cooperative driving for a long period of time.At this stage,it is difficult for the traditional driving behavior theory and traffic psychology theory to make a detailed and comprehensive interpretation of driver behavior.Therefore,the research on vehicle ergonomics theory under the mode of cooperative driving to improve the driver’s driving experience has become the focus of the automotive field.In this paper,the attention bias theory of psychology is selected to study the sensory characteristics of drivers.Based on the analysis of the influencing factors of driving take-over,the human-computer interaction model of driving take-over is constructed.On this basis,the attention bias experiments of driver’s auditory and visual single sensory channels are designed respectively.Then the influence of multi-sensory collaborative warning on driver’s information receiving ability is verified through the control experiment.Finally,the design practice is carried out according to the conclusion of the experiment.This paper analyzes the influencing factors of driving takeover,selects the influencing factors of drivers in the driving takeover by the theory of planned behavior,and builds the human-computer interaction model of driving takeover based on the analysis of the influencing factors.Then,the concept of attention bias is introduced to study the driver’s sensory characteristics,and two experiments are designed for the driver’s hearing and visual characteristics.In experiment one,the point detection paradigm is used to study the attention bias characteristics of drivers in the driving takeover.The results show that the driver has a tendency of attention to negative stimuli in terms of hearing,while negative stimulus can accelerate the attention input of drivers compared with neutral and positive stimuli;high arousal stimulus can accelerate the attention input of drivers compared with low arousal stimulus.In Experiment 2,eye tracking technology was used to study the driver’s visual color attention bias from the three elements of color.Through the experiment of visual color attention bias,the author summarizes the rules of driver color attention and prioritizes the interest in color attention.It is found that the higher the color brightness is,the higher the attention interest of the driver in the color area is;when the color saturation is between 40% and100%,the higher the saturation,the faster the driver pays attention to the investment,and the color saturation is within 0%-40%,The higher saturation the slower the driver is to pay attention to the input.According to the results of the first two experiments,the high negative and high wake-up auditory stimulation and the color color of the first attention priority were selected as the experimental warning signals.The multi sensory cooperative warning signals were compared.Through the contrast of the response time and accuracy of the warning signals of single sensory channel and multi sensory channel,it was found that the multi sense cooperative warning signal is helpful to improve the efficiency of the driving takeover Up.Finally,the design practice part,combined with the characteristics of L3 intelligent vehicle,the application of visual color attention bias experimental results,completed the instrument panel HMI design. |
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