车内控制器的复杂性对任务性能影响研究  

Study on the Effect of Complexity of In-car Controller on Task Performance

作　　者：朱辉[1] 陈玮[1] Zhu Hui;Chen Wei(Shaanxi Polytechnic Institute,Xianyang 712000,China)

机构地区：[1]陕西工业职业技术学院,咸阳712000

出　　处：《粘接》2021年第6期161-164,共4页Adhesion

基　　金：2019年陕西工业职业技术学院院级科技扶贫项目;陕西省职教学会课题(FPZ19-04;SZJZD19-002)。

摘　　要：车辆的智能功能导致控制界面的复杂性提升,文章旨在建立一种评估车内控制器复杂性的模型,并探讨复杂性与任务绩效之间的关系。研究框架通过三个复杂维度(功能、行为、结构)和控制器相关变量组成,通过10辆车和91名参与者进行了用户实验,用回归分析方法检验测量变量与感知控制器复杂度之间的关系,结果证明两者之间存在相关性。功能维度变量的增加导致感知复杂性水平的增加,而行为维度变量不是统计上显著的预测因子。结构变量根据变量的特征表现出不同的结果。实验结果表明,任务性能与感知的复杂性水平呈负相关,同时满意度随着复杂性的增加而降低,并为管理车内控制器的复杂性提供了理论依据。The intelligent function of the vehicle leads to the increase of the complexity of the control interface.This paper aims to build a model to evaluate the complexity of the controller in the vehicle and explore the relationship between complexity and task performance.The research framework is composed of three complex dimensions(function,behavior,structure)and controller related variables,and user experiments are carried out by 10 cars and 91 participants.Regression analysis method is used to test the relationship between measurement variables and perceived controller complexity,and the results show that there is a correlation between them.The increase of functional dimension variables leads to the increase of perceived complexity,while behavioral dimension variables are not statistically significant predictors.Structural variables show different results according to their characteristics.The experimental results show that the task performance is negatively correlated with the perceived complexity level,and the satisfaction decreases with the increase of complexity,which provides a theoretical basis for the management of the complexity of the controller in the vehicle.

关 键 词：语音信号分离 盲源分离技术 离散时间小波变换 独量分类分析 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]