车载信息系统交互任务复杂度对驾驶员认知负荷和行为表现影响分析OA

[Background]In recent years,in-vehicle information systems(IVIS)have rapidly be-come popular in the commercial vehicle market.This touchscreen-based human-machine interaction system enhances the level of information visualization and simultaneously introduces the non-negli-gible issue of driver distraction,posing a potential threat to driving safety.[Objective]This study aimed to explore the effects of interaction task complexity and demographic parameters on drivers'cognitive load and behavioral performance when interacting with IVIS interfaces.[Method]A with-in-and between-subject repeated measures experimental design was employed by recruiting 60 driv-ers for a driving simulator experiment.The effects of different independent variables on drivers'fixa-tion allocation,steering entropy,vehicle speed,task completion time,and subjective and objective cognitive loads were explored using generalized estimating equations and their post hoc tests,and the drivers'fixation behaviors while interacting with the IVIS interface were visualized using Py-thon software.[Result]Tasks with high complexity led to distraction,poorer driving performance(i.e.,increased steering entropy and operation completion time),and subjective and objective cognitive loads also tended to increase.The average vehicle speed of male drivers was 9.45 km/h higher than that of females.Additionally,drivers in the older age group(41-60 years old)had a higher risk-per-ceiving ability,even though the task operation completion time was longer.[Application]In conclu-sion,the study findings can provide guidance for the optimization of IVIS interaction and personal-ized human-machine interaction(HMI)design for future intelligent vehicles,and improve HMI reli-ability.