Abstract
Human-machine interface (HMI) is valued as a medium for information interaction between the digital cockpit and the driver, and simulated driving evaluation is an important method for assessing in-vehicle HMI. It is worth exploring how to select appropriate behavioral indicators for evaluation analysis and design iterations. The study selected six secondary tasks for HMI evaluation using touch screen interaction under a constant speed straight road driving scenario. Vehicle indicators including vertical and horizontal control and behavioral indicators related to the secondary tasks were collected. By performing stepwise regression analysis on the data from 26 participants, some behavioral indicators that have an impact on driving performance were extracted to provide suggestions for the simulation experimental evaluation and HMI design optimization iterations.
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Acknowledgments
This work was supported by The National Key Research and Development Program of China (No. 2018YFB1004903), the National Social Science Fund (No. 19FYSB040), shanghai Automotive Industry Science and Technology Development Foundation (No. 1717), Excellent Experimental Teaching Project of Tongji University and Research and Reform Project of Postgraduate Education of Tongji University (No.2020JC35).
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Xie, Y., Yue, T., Hansen, P., You, F. (2021). Behavioral Indicators Affecting Driving Performance in Human Machine Interface Assessments with Simulation. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-80012-3_30
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DOI: https://doi.org/10.1007/978-3-030-80012-3_30
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