Abstract
Objective. To study the interaction behavior between drivers and vehicle-mounted information system interface, and find out the influence of icon layout of vehicle-mounted information system boundary on visual resource allocation when drivers actually drive their vehicles, so as to take this as a scientific basis for optimizing vehicle-mounted information system interface, and put forward suggestions for optimizing the design of vehicle-mounted information system interface. Methods. Through literature research, it is found that the influence of icon layout and number on visual resources in the interface of information system needs to be further explored. The ASL eye tracker was used for experimental tests to collect the eye movement data of the subjects in the simulated driving environment, and analyze the visual resource allocation (icon number and spatial location) of the ICONS in the interface of the vehicular information system with different layout in the actual driving process. Conclusion. The layout and number of ICONS in the information system interface have a significant impact on the visual resource occupancy time of drivers. There is a positive linear correlation between the number of ICONS in the interface and the visual resources occupied. The more the number of ICONS in the interface, the more visual resources occupied. There is a significant difference between the icon layout position of the system interface and the visual resource allocation of the driver, and the visual resource occupation time of the visual core area is obviously better than that of the non-core area.
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The study was approved by the Logistics Department for Civilian Ethics Committee of Shenyang Aerospace University. All subjects who participated in the experiment were provided with and signed an informed consent form. All relevant ethical safeguards have been met with regard to subject protection.
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Li, Z., Yu, H. (2022). Research on Icon Layout of On-Board Information Interface Under the Influence of Driver’s Visual Resource Allocation. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering: Proceedings of the 21st International Conference on MMESE. MMESE 2021. Lecture Notes in Electrical Engineering, vol 800. Springer, Singapore. https://doi.org/10.1007/978-981-16-5963-8_72
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DOI: https://doi.org/10.1007/978-981-16-5963-8_72
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