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Driver-centred vehicle automation: using network analysis for agent-based modelling of the driver in highly automated driving systems

Driver-centred vehicle automation: using network analysis for agent-based modelling of the driver in highly automated driving systems
Driver-centred vehicle automation: using network analysis for agent-based modelling of the driver in highly automated driving systems
To the average driver, the concept of automation in driving infers that they can become completely 'hands and feet free'. This is a common misconception, however, one that has been shown through the application of Network Analysis to new Cruise Assist technologies that may feature on our roads by 2020. Through the adoption of a Systems Theoretic approach, this paper introduces the concept of driver-initiated automation which reflects the role of the driver in highly automated driving systems. Using a combination of traditional task analysis and the application of quantitative network metrics, this agent-based modelling paper shows how the role of the driver remains an integral part of the driving system implicating the need for designers to ensure they are provided with the tools necessary to remain actively in-the-loop despite giving increasing opportunities to delegate their control to the automated subsystems. Practitioner Summary: This paper describes and analyses a driver-initiated command and control system of automation using representations afforded by task and social networks to understand how drivers remain actively involved in the task. A network analysis of different driver commands suggests that such a strategy does maintain the driver in the control loop.
1366-5847
1442-1452
Banks, Victoria A.
0dbdcad0-c654-4b87-a804-6a7548d0196d
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Banks, Victoria A.
0dbdcad0-c654-4b87-a804-6a7548d0196d
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd

Banks, Victoria A. and Stanton, Neville A. (2016) Driver-centred vehicle automation: using network analysis for agent-based modelling of the driver in highly automated driving systems. Ergonomics, 59 (11), 1442-1452. (doi:10.1080/00140139.2016.1146344).

Record type: Article

Abstract

To the average driver, the concept of automation in driving infers that they can become completely 'hands and feet free'. This is a common misconception, however, one that has been shown through the application of Network Analysis to new Cruise Assist technologies that may feature on our roads by 2020. Through the adoption of a Systems Theoretic approach, this paper introduces the concept of driver-initiated automation which reflects the role of the driver in highly automated driving systems. Using a combination of traditional task analysis and the application of quantitative network metrics, this agent-based modelling paper shows how the role of the driver remains an integral part of the driving system implicating the need for designers to ensure they are provided with the tools necessary to remain actively in-the-loop despite giving increasing opportunities to delegate their control to the automated subsystems. Practitioner Summary: This paper describes and analyses a driver-initiated command and control system of automation using representations afforded by task and social networks to understand how drivers remain actively involved in the task. A network analysis of different driver commands suggests that such a strategy does maintain the driver in the control loop.

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More information

Accepted/In Press date: 18 January 2016
e-pub ahead of print date: 25 February 2016
Published date: 2016

Identifiers

Local EPrints ID: 418024
URI: http://eprints.soton.ac.uk/id/eprint/418024
ISSN: 1366-5847
PURE UUID: 73eac377-2d72-4b44-b2e1-bd1b4e65f9f2
ORCID for Neville A. Stanton: ORCID iD orcid.org/0000-0002-8562-3279

Catalogue record

Date deposited: 20 Feb 2018 17:32
Last modified: 17 Dec 2019 01:42

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