Abstract
In recent years, voice interaction has gradually become a hot topic in the field of artificial intelligence. Due to the portability and stability of voice, voice interaction is gradually applied to various human-computer interaction scenes in recent years. As one of the connected core hardware, the construction of voice interaction platform in the automotive field has also entered a white hot stage. The vehicle interaction scene is gradually becoming the scene where users are most used to using voice interaction. In order to determine which voice environment causes the least driving command cognitive errors and propose the optimization design strategy of vehicle voice environment. This study conducted repeated experiments on the set independent variables, analyzed the experimental data, studied the correlation between the independent variables and the error rate, and reached a reliable conclusion.
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Hu, W., Li, X., Li, Z. (2022). Research on Auditory Performance of Vehicle Voice Interaction in Different Sound Index. In: Kurosu, M. (eds) Human-Computer Interaction. User Experience and Behavior. HCII 2022. Lecture Notes in Computer Science, vol 13304. Springer, Cham. https://doi.org/10.1007/978-3-031-05412-9_5
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DOI: https://doi.org/10.1007/978-3-031-05412-9_5
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