Potentials and challenges of adaptive human-machine interfaces in commercial vehicles: results of focus groups with professional truck drivers and experts

Abstract In recent years, vehicles have become increasingly intelligent and context aware. Studies in the passenger car and digital sectors show that systems which adapt to different situations and users can improve usability and safety. To identify the potential of adaptive human-machine interfaces (HMI) in the truck sector, this work presents three exploratory focus groups conducted with truck drivers and industry experts, involving a total of N = 19 participants. Using qualitative content analysis, problem areas were identified to be addressed through adaptive functions. These problems included individual driver needs as well as complex menu structures and challenges in navigation and logistics. The proposed solutions, such as personalization, will be examined in more detail in further research. Furthermore, the study revealed challenges associated with the implementation of adaptive interfaces in trucks, particularly patronization through technology. Practical Relevance : Existing adaptive solutions predominantly concern passenger car and digital domains and fail to take into account the particular requirements of the commercial vehicle sector. A commercial vehicle is a complex workplace, where drivers often operate under time pressure. Therefore, these insights provide a foundation for the user-centered design of future adaptive display and control concepts in the commercial vehicle domain.

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Publication Details

Journal
Zeitschrift für Arbeitswissenschaft
Published
2026-03-16
DOI
https://doi.org/10.1007/s41449-026-00522-8
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Potentials and challenges of adaptive human-machine interfaces in commercial vehicles: results of focus groups with professional truck drivers and experts

Anna Eckl, Svenja Mertens, Eric Hillenmeier, Klaus Bengler
Zeitschrift für Arbeitswissenschaft
Human-Automation Interaction and Safety
article

Potentials and challenges of adaptive human-machine interfaces in commercial vehicles: results of focus groups with professional truck drivers and experts

Anna Eckl, Svenja Mertens, Eric Hillenmeier, Klaus Bengler
article en

Abstract

Abstract In recent years, vehicles have become increasingly intelligent and context aware. Studies in the passenger car and digital sectors show that systems which adapt to different situations and users can improve usability and safety. To identify the potential of adaptive human-machine interfaces (HMI) in the truck sector, this work presents three exploratory focus groups conducted with truck drivers and industry experts, involving a total of N = 19 participants. Using qualitative content analysis, problem areas were identified to be addressed through adaptive functions. These problems included individual driver needs as well as complex menu structures and challenges in navigation and logistics. The proposed solutions, such as personalization, will be examined in more detail in further research. Furthermore, the study revealed challenges associated with the implementation of adaptive interfaces in trucks, particularly patronization through technology. Practical Relevance : Existing adaptive solutions predominantly concern passenger car and digital domains and fail to take into account the particular requirements of the commercial vehicle sector. A commercial vehicle is a complex workplace, where drivers often operate under time pressure. Therefore, these insights provide a foundation for the user-centered design of future adaptive display and control concepts in the commercial vehicle domain.

Zeitschrift für Arbeitswissenschaft
MAN (Germany) (DE), Technical University of Munich (DE)
Bundesministerium für Wirtschaft und Energie
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Human-Automation Interaction and Safety
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