Take-over time in highly automated vehicles: noncritical transitions to and from manual control
Take-over time in highly automated vehicles: noncritical transitions to and from manual control
Objective: the aim of this study was to review existing research into driver control transitions and to determine the time it takes drivers to resume control from a highly automated vehicle in non-critical scenarios.
Background: contemporary research has moved from an inclusive design approach to only adhering to mean/median values when designing control transitions in automated driving. Research into control transitions in highly automated driving has focused on urgent scenarios where drivers are given a relatively short time span to respond to a request to resume manual control. We found a paucity in research into more frequent scenarios for control transitions, such as planned exits from highway systems.
Method: twenty six drivers drove two scenarios with an automated driving feature activated. Drivers were asked to read a newspaper, or to monitor the system, and to relinquish, or resume, control from the automation when prompted by vehicle systems.
Results: significantly longer control transition times were found between driving with and without secondary tasks. Control transition times were substantially longer than those reported in the peer-reviewed literature.
Conclusion: we found that drivers take longer to resume control when under no time-pressure compared to that reported in the literature. Moreover, we found that drivers occupied by a secondary task exhibit larger variance, and slower responses to requests to resume control. Workload scores implied optimal workload.
Application: intra- and inter-individual differences need to be accommodated by vehicle manufacturers and policy makes alike to ensure inclusive design of contemporary systems and safety during control transitions.
689-705
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Eriksson, Alexander and Stanton, Neville
(2017)
Take-over time in highly automated vehicles: noncritical transitions to and from manual control.
Human Factors, 59 (4), .
(doi:10.1177/0018720816685832).
Abstract
Objective: the aim of this study was to review existing research into driver control transitions and to determine the time it takes drivers to resume control from a highly automated vehicle in non-critical scenarios.
Background: contemporary research has moved from an inclusive design approach to only adhering to mean/median values when designing control transitions in automated driving. Research into control transitions in highly automated driving has focused on urgent scenarios where drivers are given a relatively short time span to respond to a request to resume manual control. We found a paucity in research into more frequent scenarios for control transitions, such as planned exits from highway systems.
Method: twenty six drivers drove two scenarios with an automated driving feature activated. Drivers were asked to read a newspaper, or to monitor the system, and to relinquish, or resume, control from the automation when prompted by vehicle systems.
Results: significantly longer control transition times were found between driving with and without secondary tasks. Control transition times were substantially longer than those reported in the peer-reviewed literature.
Conclusion: we found that drivers take longer to resume control when under no time-pressure compared to that reported in the literature. Moreover, we found that drivers occupied by a secondary task exhibit larger variance, and slower responses to requests to resume control. Workload scores implied optimal workload.
Application: intra- and inter-individual differences need to be accommodated by vehicle manufacturers and policy makes alike to ensure inclusive design of contemporary systems and safety during control transitions.
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Take-over time in highly automated vehicles_production_ready.doc
- Accepted Manuscript
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Accepted/In Press date: 29 November 2016
e-pub ahead of print date: 26 January 2017
Organisations:
Transportation Group
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Local EPrints ID: 403717
URI: http://eprints.soton.ac.uk/id/eprint/403717
PURE UUID: f79fcd47-0ccb-4c55-aac7-31175f17826b
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Date deposited: 09 Dec 2016 09:53
Last modified: 16 Mar 2024 04:00
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Author:
Alexander Eriksson
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