OESDs in an on-road study of semi-automated vehicle to human driver handovers

Abstract

Design of appropriate interaction and human–machine interfaces for the handover of control between vehicle automation and human driver is critical to the success of automated vehicles. Problems in this interfacing between the vehicle and driver have led, in some cases, to collisions and fatalities. In this project, Operator Event Sequence Diagrams (OESDs) were used to design the handover activities to and from vehicle automation. Previous work undertaken in driving simulators has shown that the OESDs can be used to anticipate the likely activities of drivers during the handover of vehicle control. Three such studies showed that there was a strong correlation between the activities drivers represented in OESDs and those observed from videos of drivers in the handover process, in driving simulators. For the current study, OESDs were constructed during the design of the interaction and interfaces for the handover of control to and from vehicle automation. Videos of drivers during the handover were taken on motorways in the UK and compared with the predictions from the OESDs. As before, there were strong correlations between those activities anticipated in the OESDs and those observed during the handover of vehicle control from automation to the human driver. This means that OESDs can be used with some confidence as part of the vehicle automation design process, although validity generalisation remains an important goal for future research.

Publication DOI: https://doi.org/10.1007/s10111-021-00682-z
Divisions: College of Health & Life Sciences > School of Biosciences
College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > School of Engineering and Technology
Funding Information: This work was supported by Jaguar Land Rover and the UK-EPSRC Grant EP/N011899/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme.
Additional Information: Funding Information: This work was supported by Jaguar Land Rover and the UK-EPSRC Grant EP/N011899/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme. Publisher Copyright: © 2021, The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Uncontrolled Keywords: Driving automation,Handover,Interface design,OESD,Validation,Philosophy,Human-Computer Interaction,Computer Science Applications
Publication ISSN: 1435-5558
Last Modified: 14 Jun 2024 07:30
Date Deposited: 07 Sep 2023 10:13
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2022-05
Published Online Date: 2021-06-02
Accepted Date: 2021-04-20
Authors: Stanton, Neville A.
Brown, James W. (ORCID Profile 0000-0002-3504-7373)
Revell, Kirsten M.A.
Kim, Jisun (ORCID Profile 0000-0003-0119-4313)
Richardson, Joy
Langdon, Pat
Bradley, Mike
Caber, Nermin
Skrypchuk, Lee
Thompson, Simon

Download

[img]

Version: Published Version

License: Creative Commons Attribution

| Preview

Export / Share Citation


Statistics

Additional statistics for this record