Evaluation of Human Acceptance and Comfort of Automated Highway Driving at Different Levels of Automation

Arno Eichberger, Branko Rogic, Philipp Quinz, Ioana Victoria Koglbauer, Christian Payerl, Michael Haberl, Dusan Malic

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


Fully automated driving of road vehicles on highways consists of different vehicle control tasks that are currently evolving from research to series production. These tasks are mainly covered by the three following driving systems: Adaptive Cruise Control – ACC, Lane Keeping Assist – LKA and Lane Change Assist - LCA. Among these systems, different levels of automation are available, e.g. warning/informing, intervene on demand and also partially automated systems. This research presents the first part of a feasibility study about an intuitive switching mechanism using a Human-Machine Interface (HMI) that combines aforementioned systems in order to adjust the level of automation of SAE levels 0 to 3, (Smith 2013), according to the preferences of a human driver. Driving systems of the levels 0, 2 and 3 together with a novel HMI concept are implemented in a driving simulator and tested with respect to acceptance and comfort as well as to reliability by a sample of 20 volunteer drivers. The proof of concept of each system as well as the testing form the basis for a later implementation of the presented intuitive switching mechanism.
Original languageEnglish
Title of host publication7th Transport Research Arena (TRA 2018)
Number of pages7
Publication statusPublished - 18 Apr 2018
EventTransport Research Arena 2018: A digital era for transport - Wien, Austria
Duration: 16 Apr 201819 Apr 2018


ConferenceTransport Research Arena 2018
Abbreviated titleTRA 2018
Internet address


  • Safety of Automated Transport
  • Human Factors
  • Human Machine Interfaces (HMI)
  • User Needs
  • User Acceptance
  • Customer Satisfaction

ASJC Scopus subject areas

  • Automotive Engineering

Fields of Expertise

  • Mobility & Production

Treatment code (Nähere Zuordnung)

  • Theoretical


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