Human-Machine Interfaces for Automated Driving: Development of an Experimental Design for Evaluating Usability

Deike Albers, Jonas Radlmayr, Niklas Grabbe, Sebastian Hergeth, Frederik Naujoks, Yannick Forster, Andreas Keinath, Klaus Bengler

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

1 Scopus citations

Abstract

The introduction of conditionally automated driving [25] implies repeated transitions of the driving task between the human operator and the automated driving system (ADS). Human-machine interfaces (HMIs) facilitating these shifts in control are essential. Usability serves as an important criterion to assess the quality of an HMI design. This paper derives a study design for assessing the usability based on the best practice advice by [1]. The paper covers the applied definitions of usability, the sample characteristics, the test cases, the HMIs, the dependent variables, the procedure, the conditions of use, and the testing environment. The study design will be applied in a driving simulator and three test track experiments in different countries within an ongoing project. This involves a number of safety, technical and resource constraints in the development of the study design. This paper describes the challenges and limitations of applying a generic best practice advice to the varying test settings. Furthermore, two HMI concepts are developed and evaluated in an expert assessment. The two concepts will serve as the research subjects in the series of experiments. The proposed study design is suitable for application in different test settings. Therefore, the comparability between the experiments is high. This paper provides a first step in a validation project with the overall goal to propose a practical approach to usability testing of ADS HMIs that covers different constructs of usability and appropriate dependent variables within their application areas.

Original languageEnglish
Title of host publicationProceedings of the 21st Congress of the International Ergonomics Association, IEA 2021 - Sector Based Ergonomics
EditorsNancy L. Black, W. Patrick Neumann, Ian Noy
PublisherSpringer Science and Business Media Deutschland GmbH
Pages541-551
Number of pages11
ISBN (Print)9783030746070
DOIs
StatePublished - 2021
Event 21st Congress of the International Ergonomics Association, IEA 2021 - Virtual, Online
Duration: 13 Jun 202118 Jun 2021

Publication series

NameLecture Notes in Networks and Systems
Volume221 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference 21st Congress of the International Ergonomics Association, IEA 2021
CityVirtual, Online
Period13/06/2118/06/21

Keywords

  • Automated driving
  • Human-machine interface
  • Study design
  • Usability

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