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Research on Human-Machine Interface Interaction Preferences Under the Situation of New Energy Vehicles Based on Driving Scenarios

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HCI International 2023 Posters (HCII 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1836))

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Abstract

In recent years, the focus of the development of the world’s automobile industry is shifting towards new energy vehicles, and a human-computer interface is an important tool for automobile information transmission. As the display carrier of automobile functions, it is the most intimate contact with the driver, which directly affects the driver’s user experience. The purpose of this experiment is to study the user’s preference for 2D and 3D design styles, Dashboard, and HUD display methods, to obtain the result of which design style and display method are more likely to be liked by people. This paper uses a comparative research method and questionnaire survey method to compare user preferences through two groups of comparison samples, namely 2D-Dashboard and 2D-HUD, 2D-Dashboard, and 3D-Dashboard, to find out which method is easier to obtain User Preferences. The experiment results show that among 2D and 3D design styles, users prefer 2D design style; among Dashboard and HUD display methods, users prefer Dashboard display form; among the four cases, users prefer 2D-Dashboard, the main reason is because of “simple and clear”. And in daily driving, the elements that users prefer and pay more attention to our navigation and road condition information, as well as speed information. The research conclusions can provide theoretical support for HMI design, and in future HMI designs, designers can consider using the 2D-Dashboard method, and focus on speed information and navigation road condition information in driving scenarios.

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Correspondence to Mengdie Wang .

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Ding, W., Wang, M., Li, X. (2023). Research on Human-Machine Interface Interaction Preferences Under the Situation of New Energy Vehicles Based on Driving Scenarios. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1836. Springer, Cham. https://doi.org/10.1007/978-3-031-36004-6_2

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  • DOI: https://doi.org/10.1007/978-3-031-36004-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36003-9

  • Online ISBN: 978-3-031-36004-6

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