Methods for Reducing the Complexity of Driving Workplaces in Commercial Vehicles

Lasse Schölkopf, Alicia Kneuper, Veronika Hutmann, Frank Diermeyer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2021
EditorsNeville Stanton
PublisherSpringer Science and Business Media Deutschland GmbH
Pages34-44
Number of pages11
ISBN (Print)9783030800116
DOIs
StatePublished - 2021
EventAHFE Conference on Human Aspects of Transportation, 2021 - Virtual, Online
Duration: 25 Jul 202129 Jul 2021

Publication series

NameLecture Notes in Networks and Systems
Volume270
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceAHFE Conference on Human Aspects of Transportation, 2021
CityVirtual, Online
Period25/07/2129/07/21

Keywords

  • Cockpit design
  • Commercial vehicles
  • Context adaptive system
  • Driving workplace
  • Human factors
  • Human machine interaction
  • Input modality
  • Trucks

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