Abstract
Commercial vehicles, such as trucks, feature a high number of vehicle functions that can lead to complex driving workplaces. To minimize driver workload and dangerous distractions, a literature review identified approaches for reducing the complexity of truck cockpit. In addition to a discussion of the resulting reduction methods such as function automation and multimodal controls, we propose a novel approach: the use of context-adaptive controls. The applicability of this approach to the domain of commercial vehicles was explored through user research consisting of qualitative interviews and a subsequent quantitative survey among truck drivers. The authors identified occurring situations during the workday of truck drivers, which are referred to as “working phases”. Furthermore, the relevance of vehicle functions was found to be significantly influenced by the current working phase. The results suggest a high potential of context adaptive systems for reducing the complexity of truck cockpits. Further exploration of such a system in future research is therefore advised.
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Acknowledgments
As first author, Lasse Schölkopf initiated the research, conducted the literature review, planned the user studies and conducted the qualitative user study. His contribution was approximately 75%. Alicia Kneuper carried out the quantitative survey including data collection and analysis and contributed to the writing process. Veronika Hutmann revised the content of this work critically. Frank Diermeyer made an essential contribution to the conception of the research project. He revised the paper critically for important intellectual content. Frank Diermeyer gave final approval of the version to be published and agrees to all aspects of the work. As a guarantor, he accepts responsibility for the overall integrity of the paper. This research was funded by MAN Truck & Bus SE.
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Schölkopf, L., Kneuper, A., Hutmann, V., Diermeyer, F. (2021). Methods for Reducing the Complexity of Driving Workplaces in Commercial Vehicles. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-80012-3_5
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