College of Mechanical and Material Engineering, North China University of Technology, Beijing, 100144, China.
Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China.
Environ Sci Pollut Res Int. 2020 Jan;27(1):1009-1023. doi: 10.1007/s11356-019-07001-0. Epub 2019 Dec 9.
A sustainable human-machine interface design has been highlighted for shared cars which is environmentally friendly. To improve people's perceptual, psychological, and behavioral experience in shared cars, this study revealed the relationship between modeling forms of the instrument panel and interaction performance. Modeling forms include the panel layout and the central screen installation type. After classifying existing panel layout designs into four kinds, this study relied on System Usability Scale (n = 182) to score them and clarify the usability of each kind. The one with the best usability (the symmetrical driver-oriented layout) was identified and ANOVA was used to judge the significance of the difference. Then, three central screen installation types were analyzed and sorted by means of analytic hierarchy process. Based on the above analysis for perceptual preference, behavioral experiments were carried out (n = 60) in intelligent vehicles equipped with the two advantageous screens (all-in-one type and semi-detached type) to analyze electrocardiograph data and workload of typical interaction behaviors. The logit model showed that when interacting with the SD-AIO panel (the panel of symmetrical driver-oriented layout with an all-in-one type screen), tension level was often lower in both driving and secondary tasks. Besides, we explored how the heart rate of specific tasks influenced the total completion time. The conclusion confirmed the advantages of SD-AIO panel, which could contribute to a sustainable interaction with high traffic efficiency.
本研究旨在探讨仪表盘造型形式与交互绩效之间的关系,以设计出对共享汽车具有环保意义的可持续人机界面。为了提升人们对共享汽车的感知、心理和行为体验,本研究聚焦于仪表盘的造型形式,包括面板布局和中控屏安装类型。研究将现有的面板布局设计分为四类,通过系统可用性量表(n=182)对其进行评分,以明确每种布局的可用性。其中,具有最佳可用性(对称驾驶员导向布局)的设计被确定,并通过方差分析判断差异的显著性。然后,通过层次分析法对三种中控屏安装类型进行分析和排序。基于上述对感知偏好的分析,在配备了两种优势屏幕(一体式和分体式)的智能汽车上进行了行为实验(n=60),以分析典型交互行为的心电图数据和工作负荷。Logit 模型显示,在与 SD-AIO 面板(具有对称驾驶员导向布局和一体式屏幕的面板)交互时,无论是在驾驶还是在次要任务中,驾驶员的紧张程度通常都较低。此外,我们还探讨了特定任务的心率如何影响总完成时间。研究结果证实了 SD-AIO 面板的优势,这有助于实现高效、可持续的交互。