Commercial vehicles, such as trucks, feature a high number of vehi-
cle 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 result-
ing reduction methods such as function automation and multimodal controls, we
propose a novel approach: the use of context-adaptive controls. The applicabil-
ity 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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Commercial vehicles, such as trucks, feature a high number of vehi-
cle 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 result-
ing reduction methods such as function automation and multimodal controls, we
propose a novel approach: the use of context-adaptive controls. The applicabil-
ity of this approach t...
»