Effect Of Secondary Task Workload Of In-vehicle Information System On Driving Safety

With the development of communication technology,a large number of intelligent interaction technologies are applied to intelligent connected vehicles.In the future,the automobile ecological circle will develop toward to the direction of electrification,intelligence,network connection and service.The driver's demand for network information is increasing,but at present,there is a lack of systematic and effective measurement method and improvement technology for the secondary task workload of In-Vehicle Information systems in China.On this condition,we need to further study whether the in-vehicle information system can meet the dual needs of drivers for network information and safe driving.In order to prevent automobile enterprises from the risk of low consumer acceptance despite the huge investment in research and development costs.Therefore,most domestic automobile enterprises have been in a long-term market following the trend in the aspect of In-Vehicle Information systems human-computer interaction design.We must establish a system to improve evaluation method and key techniques of task workload of In-vehicle Information systems,to bring forward the evaluation of In-Vehicle Information systems time task workload to pre-market testing,to ensure In-Vehicle Information systems to meet the dual requirement of information services and safe driving before put into market.Based on the generation mechanism of secondary task workload and its representation in the three dimensions of cognition/action/psychology,this paper establishes the identification method of secondary task workload state for human-computer interaction in the In-Vehicle Information systems.Based on the data of vehicle running state,the security state detection algorithm of secondary task is established.Aiming at reducing the secondary task workload,a set of improvement technology of the human-computer interface of the In-Vehicle Information systems is established.The main content of the paper is as follows:(1)Research on the generation mechanism of secondary task workload of In-Vehicle Information systems.From the perspective of driving main task and secondary task,based on the research of physiological psychology,this paper probes into the generation mechanism of secondary task workload of In-Vehicle Information systems,and summarizes the cognition/action/psychological characterization of secondary task workload of IVIS.As an important terminal of human-computer interaction during driving activities,operation of IVISs occupy the perception resources.According to the theory of multiple-resource,visual-auditory,multi-finger tasks which respectively consume cognition and action resources will affect the main task of driving performance.At the same time,based on the principle of physiological psychology,this paper summarizes the physiological,behavioral and psychological characteristics of secondary task workload,which provides the basis for the study of secondary task workload evaluation and improvement methods of In-Vehicle Information systems.(2)Research on the status discrimination method of secondary task workload of the rami vehicle information system.According to the generation mechanism of secondary task workload and its multi-dimensional characterization,the quantitative evaluation index system of secondary task workload of In-Vehicle Information systems is established.Based on the workload evaluation study of the In-Vehicle Information systems,the data sets representing the secondary task workload of In-Vehicle Information systems in different scenarios and different interactive modes are established,and the model of the secondary task workload prediction of In-Vehicle Information systems is established with the pattern recognition algorithm.In the case of dual tasks,the performance of the main task is affected by the workload of the primary and secondary tasks.The performance data of the main task cannot determine the degree of human-computer interaction secondary task workload of the In-Vehicle Information systems.Therefore,the data of subjective mental workload and action workload are used as sample labels to calibrate the status of secondary task workload.Prediction results show that the classification model based on the mental workload(heart rate,pulse rate,blood oxygen concentration)and action workload(finger total distance,finger velocity,total finger turn angle,finger angular velocity,EMG,voice frequency,speech speed and basic frequency disturbance)has good classification performance.(3)Research on the effect of multi-modal interactive tasks on the driving safety of In-Vehicle Information systems.The safety state detection algorithm is established based on the distance between front and rear vehicles and TLC.A simulation driving experiment is designed to explore the impact of three different types of secondary tasks(navigation settings / Bluetooth phone / music search)on driving safety.The results show that,in the navigation settings and music search tasks,visual,tactile,visual-tactile secondary tasks last long duration because of frequent page interface jumps.Long-lasting time between steps may cause most drivers to have a higher secondary task load.However,in the Bluetooth phone task,most drivers have a lower workload because a short duration time lasts in the vision/ tactile/visual-tactile secondary task,and during the secondary task no interface jumps and simple interface operation.Therefore,the following conclusions are drawn: the impact of the tactile secondary task on the security state is gradual,the longer the secondary task duration,the greater the workload,and the greater the impact on the security state.(4)Research on the improvement method of human-computer interface of In-Vehicle Information systems.The paper puts forward a set of improving technology to reduce secondary task workload for target vehicle information technology.The human-computer interaction interface is improved to a domestic independent brand-new energy automobile as an example.Firstly,a usability test of the In-Vehicle Information systems is conducted.Secondly,combined with the participant observation and in-depth interviews of scale statistics,the usability problems were found.Thirdly,according to the problems found during the test,the system is improved.Finally,a driving simulation experiment is conducted to verify the improvement.Test results have shown that the method can reduce the secondary task workload and improve security.