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Measurement of Driver’s Mental Workload in Partial Autonomous Driving by Chen, Weiya; Sawaragi, Tetsuo; Horiguchi, Yukio is a Engineering article available to read on EtoBox.

What is Measurement of Driver’s Mental Workload in Partial Autonomous Driving about?

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.

Who reads Measurement of Driver’s Mental Workload in Partial Autonomous Driving?

Author

Chen, Weiya; Sawaragi, Tetsuo; Horiguchi, Yukio

Publisher

Elsevier ; IFAC Secretariat; Kidlington: Elsevier Ltd; Elsevier BV (ISSN 2405-8963)

Published

2019

Language

EN

Field

Engineering (Physical Sciences)