What makes a good team? - Towards the assessment of driver-vehicle cooperation

Sebastiaan M. Petermeijer; Angelica M. Tinga; Reinier J. Jansen; Antoine de Reus; Boris M. van Waterschoot

doi:10.1145/3409118.3475153

What makes a good team? - Towards the assessment of driver-vehicle cooperation

Sebastiaan M. Petermeijer, Angelica M. Tinga, Reinier J. Jansen, Antoine de Reus, Boris M. van Waterschoot

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

Abstract

With the introduction of driving automation, the driving task has become a shared task between driver and vehicle. Today, an increasing amount of driving tasks can be performed by the automation and the view of driver and automation acting as collaborative partners has been well established. Although this notion has been adopted in the research and design domains, means to assess the quality of the driver-automation interaction in a structured way are still lacking. Moreover, most design evaluations are usually addressed either from a technical stance or from a human factors viewpoint, which does not comply with a general acknowledged view of a unified driver-vehicle system. The aim of the current study is therefore to investigate the possibility to quantitatively evaluate the quality of the driver and vehicle cooperation. Seven dimensions indicative for the quality of cooperation are identified, based on a literature survey and expert input during focus groups. This work potentially supports road authorities, legislation, regulation and original equipment manufacturers to monitor, evaluate and design driver-vehicle cooperation.

Original language	English
Title of host publication	AutomotiveUI '21
Subtitle of host publication	13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Publisher	Association for Computing Machinery
Pages	99-108
Number of pages	10
ISBN (Electronic)	978-1-4503-8063-8
DOIs	https://doi.org/10.1145/3409118.3475153
Publication status	Published - 9 Sept 2021
Externally published	Yes
Event	13th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021 - Virtual, Online, United Kingdom Duration: 9 Sept 2021 → 14 Sept 2021 Conference number: 13

Conference

Conference	13th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021
Abbreviated title	AutomotiveUI 2021
Country/Territory	United Kingdom
City	Virtual, Online
Period	9/09/21 → 14/09/21

Keywords

Automated driving
Human-machine cooperation and t`eamwork
Joint cognitive systems
Performance assessment
Shared control and coordination
Shared driving task
n/a OA procedure

Access to Document

10.1145/3409118.3475153

Cite this

Petermeijer, S. M., Tinga, A. M., Jansen, R. J., de Reus, A., & van Waterschoot, B. M. (2021). What makes a good team? - Towards the assessment of driver-vehicle cooperation. In AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 99-108). Association for Computing Machinery. https://doi.org/10.1145/3409118.3475153

@inproceedings{d3eaae25867a4ea0aac3980928a58e10,

title = "What makes a good team? - Towards the assessment of driver-vehicle cooperation",

abstract = "With the introduction of driving automation, the driving task has become a shared task between driver and vehicle. Today, an increasing amount of driving tasks can be performed by the automation and the view of driver and automation acting as collaborative partners has been well established. Although this notion has been adopted in the research and design domains, means to assess the quality of the driver-automation interaction in a structured way are still lacking. Moreover, most design evaluations are usually addressed either from a technical stance or from a human factors viewpoint, which does not comply with a general acknowledged view of a unified driver-vehicle system. The aim of the current study is therefore to investigate the possibility to quantitatively evaluate the quality of the driver and vehicle cooperation. Seven dimensions indicative for the quality of cooperation are identified, based on a literature survey and expert input during focus groups. This work potentially supports road authorities, legislation, regulation and original equipment manufacturers to monitor, evaluate and design driver-vehicle cooperation.",

keywords = "Automated driving, Human-machine cooperation and t`eamwork, Joint cognitive systems, Performance assessment, Shared control and coordination, Shared driving task, n/a OA procedure",

author = "Petermeijer, {Sebastiaan M.} and Tinga, {Angelica M.} and Jansen, {Reinier J.} and {de Reus}, Antoine and {van Waterschoot}, {Boris M.}",

note = "Funding Information: This study was funded by Rijkswaterstaat, Ministry of Infrastructure and Water management under contract number 31162195. Publisher Copyright: {\textcopyright} 2021 Association for Computing Machinery.; 13th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021, AutomotiveUI 2021 ; Conference date: 09-09-2021 Through 14-09-2021",

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month = sep,

day = "9",

doi = "10.1145/3409118.3475153",

language = "English",

pages = "99--108",

booktitle = "AutomotiveUI '21",

publisher = "Association for Computing Machinery",

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}

Petermeijer, SM, Tinga, AM, Jansen, RJ, de Reus, A & van Waterschoot, BM 2021, What makes a good team? - Towards the assessment of driver-vehicle cooperation. in AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Association for Computing Machinery, pp. 99-108, 13th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021, Virtual, Online, United Kingdom, 9/09/21. https://doi.org/10.1145/3409118.3475153

What makes a good team? - Towards the assessment of driver-vehicle cooperation. / Petermeijer, Sebastiaan M.; Tinga, Angelica M.; Jansen, Reinier J. et al.
AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Association for Computing Machinery, 2021. p. 99-108.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Tinga, Angelica M.

AU - Jansen, Reinier J.

AU - de Reus, Antoine

AU - van Waterschoot, Boris M.

N1 - Conference code: 13

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N2 - With the introduction of driving automation, the driving task has become a shared task between driver and vehicle. Today, an increasing amount of driving tasks can be performed by the automation and the view of driver and automation acting as collaborative partners has been well established. Although this notion has been adopted in the research and design domains, means to assess the quality of the driver-automation interaction in a structured way are still lacking. Moreover, most design evaluations are usually addressed either from a technical stance or from a human factors viewpoint, which does not comply with a general acknowledged view of a unified driver-vehicle system. The aim of the current study is therefore to investigate the possibility to quantitatively evaluate the quality of the driver and vehicle cooperation. Seven dimensions indicative for the quality of cooperation are identified, based on a literature survey and expert input during focus groups. This work potentially supports road authorities, legislation, regulation and original equipment manufacturers to monitor, evaluate and design driver-vehicle cooperation.

AB - With the introduction of driving automation, the driving task has become a shared task between driver and vehicle. Today, an increasing amount of driving tasks can be performed by the automation and the view of driver and automation acting as collaborative partners has been well established. Although this notion has been adopted in the research and design domains, means to assess the quality of the driver-automation interaction in a structured way are still lacking. Moreover, most design evaluations are usually addressed either from a technical stance or from a human factors viewpoint, which does not comply with a general acknowledged view of a unified driver-vehicle system. The aim of the current study is therefore to investigate the possibility to quantitatively evaluate the quality of the driver and vehicle cooperation. Seven dimensions indicative for the quality of cooperation are identified, based on a literature survey and expert input during focus groups. This work potentially supports road authorities, legislation, regulation and original equipment manufacturers to monitor, evaluate and design driver-vehicle cooperation.

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ER -

What makes a good team? - Towards the assessment of driver-vehicle cooperation

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Conference

Keywords

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