Abstract
With the development of science and technology, many new human-machine interaction methods have appeared in cars. Therefore, how to improve the interaction efficiency in human-machine interaction has become one of the important research topics. Our research focuses on the interaction between car cockpit and driver. To make a usability evaluation of car cockpit, we designed multiple sets of comparative experiments with different concurrent tasks. In the experiment, we collected front scene binocular image and car speed to calculate driving performance, driver’s heart rate and eye movement to represent driver’s physiological state. Specifically, for front scene analysis, we simplified the feature point matching method and obtained quite accurate object distance estimation. Experimental data showed that car speed was closer to the required speed in speed control task than speed + direction control task or speed + temperature control task; distance was adjusted better in distance control task than distance + temperature control task; driver’s heart rate was higher and has more fluctuation during the operation of secondary tasks; driver diverted their visual attention from the road to inside instruments more frequently during manual control than voice control. These results indicate when the task is more difficult or there is interference from secondary task, the driving performance would decrease and driver would be more stressed. And manual control task is more disruptive to driving performance than voice control task, but it takes more time. Finally, driving will be safer and more effective when using voice control instead of manual control.
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Wei, C., Wang, Z., Fu, S. (2020). Usability Evaluation of Car Cockpit Based on Multiple Objective Measures. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. Cognition and Design. HCII 2020. Lecture Notes in Computer Science(), vol 12187. Springer, Cham. https://doi.org/10.1007/978-3-030-49183-3_34
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DOI: https://doi.org/10.1007/978-3-030-49183-3_34
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