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

Jisun Kim*, Kirsten Revell, Pat Langdon, Mike Bradley, Ioannis Politis, Simon Thompson, Lee Skrypchuk, Jim O'Donoghue, Joy Richardson, Neville A. Stanton

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)40-54
Number of pages15
JournalHuman Factors and Ergonomics In Manufacturing
Volume33
Issue number1
Early online date22 Aug 2022
DOIs
Publication statusPublished - Jan 2023

Bibliographical note

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.

Publisher Copyright:
© 2022 Wiley Periodicals LLC.

Keywords

  • driver interaction
  • environment complexity
  • on-road
  • partial driving automation
  • perceived workload

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