Analyzing the Remote Operation Task to Support Highly Automated Vehicles – Suggesting the Core Task Analysis to Ensure the Human-Centered Design of the Remote Operation Station

Hanna Koskinen*, Andreas Schrank, Esko Lehtonen, Michael Oehl

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Intelligent technology and high automation solutions will need to be integrated into the future’s sustainable traffic systems. However, for a long time, automatic vehicles cannot be expected to cope with all possible traffic situations without a human intervention. In the EU-funded Hi-Drive project, remote operation has been proposed as one feasible solution for these situations. However, the remote operation of an automatic vehicle is a new work task/profession whose requirements are not yet properly known. In this paper, we propose the core task analysis as a way to better comprehend the challenges of the safety-critical task of remotely controlling highly automated vehicles in open road settings and demonstrate the core task analysis method with the operative situations from the scenario catalogue. The operating environment imposes certain demands on the operators, who need to use their trained skills and knowledge to deal with them. The results of the core task analysis highlight the environmental demands and the critical resources and competence the human operator should have. Core task analysis may be most helpful in comprehending the demands of remote operator tasks in supporting the highly automated vehicles as well as carrying out human-centered design of operating workplace.
Original languageEnglish
Title of host publicationHCI in Mobility, Transport, and Automotive Systems - 6th International Conference, MobiTAS 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
EditorsHeidi Krömker
PublisherSpringer Science+Business Media
Pages145-156
Number of pages12
ISBN (Print)9783031604768
DOIs
Publication statusPublished - Jun 2024
MoE publication typeA4 Article in a conference publication
Event6th International Conference on Mobility, Transport, and Automotive Systems, MobiTAS 2024, held as part of the 26th International Conference on Human-Computer Interaction, HCII 2024 - Washington, United States
Duration: 29 Jun 20244 Jul 2024

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14732 LNCS
ISSN0302-9743

Conference

Conference6th International Conference on Mobility, Transport, and Automotive Systems, MobiTAS 2024, held as part of the 26th International Conference on Human-Computer Interaction, HCII 2024
Country/TerritoryUnited States
CityWashington
Period29/06/244/07/24

Funding

This project has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No. 101006664. The author(s) would like to thank all partners within Hi-Drive for their cooperation and valuable contribution.

Keywords

  • Automated Vehicle
  • Human-Centered Design
  • Remote Assistance
  • Remote Driving
  • Remote Operation
  • Task Analysis

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