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Evaluation of Display Concepts for the Instrument Cluster in Urban Automated Driving

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1026))

Abstract

Instrument clusters represent the primary human-machine-interface for displaying driving-related information. Due to the changing relevance of driving-related information in automated driving, a reconfiguration of the display should be investigated. A display concept for an instrument cluster for partially and highly automated driving was developed that adapts the display and positioning of information to the level of automation. The developed concept was compared with a conventional display concept. Thirty participants took part in an experiment performing an occlusion task and a choice reaction time task. The statistical analysis revealed no significant differences in the response accuracy of the occlusion task between the display concepts. The results of the choice reaction time task show a significantly faster reaction time and in contrast to the occlusion task, a significantly lower response accuracy for the adaptive display concept compared to the conventional display concept. The subjective analysis revealed a preference of the adaptive display concept.

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Acknowledgment

This research was funded by German Federal Ministry of Economics and Energy within the project @CITY.

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Correspondence to Alexander Feierle .

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Feierle, A., Bücherl, F., Hecht, T., Bengler, K. (2020). Evaluation of Display Concepts for the Instrument Cluster in Urban Automated Driving. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_32

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