Measurement of Driver’s Mental Workload in Partial Autonomous Driving

Abstract Autonomous driving has the potential to be the next critical technology that changes the lifestyle of a human. It has, however, not been verified whether the autonomous technology at different lower levels decreases or increases the mental workload of drivers. This paper verifies the relationship between a driver’s mental workload and level 0, 1 and 2 of autonomous driving using NASA-TLX and adjusted response time in a secondary task simulation study. Experiment results show that level 1 causes the lowest mental workload of the driver, followed by level 2 and level 0. We discuss this nonlinear relationship between the levels of autonomous driving support and the mental workloads incurred to the human driver.

Paper

Full text

PDF

Measurement of Driver’s Mental Workload in Partial Autonomous Driving

Semantic Scholar · Engineering · 2019

Abstract

Abstract Autonomous driving has the potential to be the next critical technology that changes the lifestyle of a human. It has, however, not been verified whether the autonomous technology at different lower levels decreases or increases the mental workload of drivers. This paper verifies the relationship between a driver’s mental workload and level 0, 1 and 2 of autonomous driving using NASA-TLX and adjusted response time in a secondary task simulation study. Experiment results show that level 1 causes the lowest mental workload of the driver, followed by level 2 and level 0. We discuss this nonlinear relationship between the levels of autonomous driving support and the mental workloads incurred to the human driver.

Similar papers

© 2026 NYSGPT2525 LLC