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Partially automated driving has higher workload than manual driving: an on‐road comparison of three contemporary vehicles with SAE Level 2 features

Partially automated driving has higher workload than manual driving: an on‐road comparison of three contemporary vehicles with SAE Level 2 features
Partially automated driving has higher workload than manual driving: an on‐road comparison of three contemporary vehicles with SAE Level 2 features
Vehicles with SAE Level 2 automated features are already in active use on the road, and vehicles with Level 3 or 4 will be with us soon. Although the vehicles provide support for longitudinal and lateral control, partially automated driving experience is sometimes more demanding than manual driving. However, the effects of automated driving on workload in naturalistic conditions have not been extensively investigated, as most studies have been undertaken in driving simulators. This study aims to extend the current understanding about workload in partially automated driving on public roads. Drivers' perceived workload was assessed after conducting manual and automated driving activities using a small sample (N = 8). They performed driving tasks in three contemporary vehicles with SAE Level 2 features, in highway and urban environments. The comparative findings revealed that drivers' perceived workload was higher in partially automated driving than manual driving. Furthermore, perceived workload was higher in urban environments than highway environments and in less experienced drivers than more experienced drivers. Although the findings may need to be interpreted with caution due to the small sample size, they provide a future research agenda that can be built upon.
driver interaction, environment complexity, on-road, partial driving automation, perceived workload
1520-6564
40-54
Kim, Jisun
95e8d9df-8383-4fb5-9806-5b5d064cda37
Revell, Kirsten
e80fedfc-3022-45b5-bcea-5a19d5d28ea0
Langdon, Pat
3b5d5125-8022-473f-a150-ad409561a3e7
Bradley, Mike
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Politis, Ioannis
3e066508-0573-4b9e-bfdb-3f30ca795c49
Thompson, Simon
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Skrypchuk, Lee
c50ee672-ee07-44bc-83f6-3cbb4ef55d98
O'donoghue, Jim
69353f56-aa98-40d3-b5f9-d501a7f005e2
Richardson, Joy
e2587944-ff00-4a72-bed0-9547b62f95aa
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Kim, Jisun
95e8d9df-8383-4fb5-9806-5b5d064cda37
Revell, Kirsten
e80fedfc-3022-45b5-bcea-5a19d5d28ea0
Langdon, Pat
3b5d5125-8022-473f-a150-ad409561a3e7
Bradley, Mike
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Politis, Ioannis
3e066508-0573-4b9e-bfdb-3f30ca795c49
Thompson, Simon
251a3271-54c3-4bfd-af10-9c25aa8f026a
Skrypchuk, Lee
c50ee672-ee07-44bc-83f6-3cbb4ef55d98
O'donoghue, Jim
69353f56-aa98-40d3-b5f9-d501a7f005e2
Richardson, Joy
e2587944-ff00-4a72-bed0-9547b62f95aa
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd

Kim, Jisun, Revell, Kirsten, Langdon, Pat, Bradley, Mike, Politis, Ioannis, Thompson, Simon, Skrypchuk, Lee, O'donoghue, Jim, Richardson, Joy and Stanton, Neville A. (2023) Partially automated driving has higher workload than manual driving: an on‐road comparison of three contemporary vehicles with SAE Level 2 features. Human Factors and Ergonomics in Manufacturing and Service Industries, 33 (1), 40-54. (doi:10.1002/hfm.20969).

Record type: Article

Abstract

Vehicles with SAE Level 2 automated features are already in active use on the road, and vehicles with Level 3 or 4 will be with us soon. Although the vehicles provide support for longitudinal and lateral control, partially automated driving experience is sometimes more demanding than manual driving. However, the effects of automated driving on workload in naturalistic conditions have not been extensively investigated, as most studies have been undertaken in driving simulators. This study aims to extend the current understanding about workload in partially automated driving on public roads. Drivers' perceived workload was assessed after conducting manual and automated driving activities using a small sample (N = 8). They performed driving tasks in three contemporary vehicles with SAE Level 2 features, in highway and urban environments. The comparative findings revealed that drivers' perceived workload was higher in partially automated driving than manual driving. Furthermore, perceived workload was higher in urban environments than highway environments and in less experienced drivers than more experienced drivers. Although the findings may need to be interpreted with caution due to the small sample size, they provide a future research agenda that can be built upon.

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Accepted/In Press date: 19 July 2022
e-pub ahead of print date: 22 August 2022
Published date: January 2023
Additional Information: Funding Information: This study 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. Funding Information: This study 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.
Keywords: driver interaction, environment complexity, on-road, partial driving automation, perceived workload

Identifiers

Local EPrints ID: 473546
URI: http://eprints.soton.ac.uk/id/eprint/473546
ISSN: 1520-6564
PURE UUID: 04a41786-3d81-42f2-8901-c4f12efe715f
ORCID for Jisun Kim: ORCID iD orcid.org/0000-0003-0119-4313
ORCID for Joy Richardson: ORCID iD orcid.org/0000-0001-7716-5370
ORCID for Neville A. Stanton: ORCID iD orcid.org/0000-0002-8562-3279

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Date deposited: 23 Jan 2023 17:44
Last modified: 17 Mar 2024 03:52

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Contributors

Author: Jisun Kim ORCID iD
Author: Kirsten Revell
Author: Pat Langdon
Author: Mike Bradley
Author: Ioannis Politis
Author: Simon Thompson
Author: Lee Skrypchuk
Author: Jim O'donoghue
Author: Joy Richardson ORCID iD

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