Effects of levels of automation and non-driving related tasks on driver performance and workload: A review of literature and meta-analysis. Academic Article

abstract

• This study assessed the effects of different levels of automation and non-driving related tasks (NDRT) on driver performance and workload. A systematic literature review was conducted in March 2021 using Compendex, Google Scholar, Web of Science, and Scopus databases. Forty-five studies met the inclusion criteria. A meta-analysis was conducted and Cochrane risk of bias tool and Cochran's Q test were used to assess risk of bias and homogeneity of the effect sizes respectively. Results suggested that drivers exhibited safer performance when dealing with critical incidents in manual driving than partially automated driving (PAD) and highly automated driving (HAD) conditions. However, drivers reported higher workload in the manual driving mode as compared to the HAD and PAD conditions. Haptic, auditory, and visual-auditory takeover request modalities are preferred over the visual-only modality to improve takeover time. Use of handheld NDRTs significantly degraded driver performance as compared to NDRTs performed on mounted devices.

authors

• Zahabi, Maryam

published proceedings

• Appl Ergon

author list (cited authors)

• Shahini, F., & Zahabi, M.

citation count

• 3

complete list of authors

• Shahini, Farzaneh||Zahabi, Maryam

publication date

• January 2022

publisher

• Elsevier  Publisher

published in

• Applied Ergonomics  Journal

keywords

• Automation
• Automobile Driving
• Driver
• Humans
• Level Of Automation
• Performance
• Psychomotor Performance
• Takeover
• Workload

PubMed Central ID

• 35724471

Digital Object Identifier (DOI)

• 10.1016/j.apergo.2022.103824

start page

• 103824

end page

• 103824

volume

• 104

URL

• http://dx.doi.org/10.1016/j.apergo.2022.103824