Abstract

Abstract Fully automated drive still lies far ahead in the future. Therefore, vehicles with multiple modes of operation will not disappear fully as many road types, traffic and weather conditions will not allow fully automated drive. Instead, fragmented trips with regard to automation will prevail, where drivers will have different levels of automation available at different times. Given this scenario and the complexity of vehicles offering multiple levels of automation with different driving modes depending on prevailing conditions, the need for drivers to understand their responsibility during the different modes becomes critical. The aim of this paper is to contribute to further understanding of how perceived control influences the driver’s mode awareness of and responsibility for the driving task by reporting on an on-road Wizard-of-Oz study under real driving conditions. The results show that when confronted with a vehicle offering both a level 2 and a level 4 driving automation system, drivers have difficulty in determining whether control is allocated to them or to the system. Further results show that perceived control and responsibility for the driving task are closely linked, and that the driver’s perception of the driving system influence how they interact with it. Finally, conclusions are drawn regarding the way perceived control influences mode awareness when interacting with a vehicle that features multiple levels of automation.

Highlights

  • The automotive industry is rapidly developing driving automation systems (DAS) with the aim of supporting drivers through automation of longitudinal and/or lateral control of the vehicle

  • The introduction of automated driving systems into nowadays vehicles comes with challenges regarding the control allocation between driver and vehicle

  • This study aimed to investigate the connection between perceived control and responsibility over the driving task, and how the driver’s mode awareness is influenced by this

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Summary

Introduction

The automotive industry is rapidly developing driving automation systems (DAS) with the aim of supporting drivers through automation of longitudinal and/or lateral control of the vehicle. According to the SAE International standard J3016 [15], these driving automation systems can be classified into five levels depending on technical system characteristics. This technical classification ranges between level 0 ‘No Driving Automation’ to level 5 ‘Full Driving Automation’, whereby each level describes different tasks for driver and system, i. The automotive industry is moving rapidly towards Level 4 ‘High automation’, which assumes full longitudinal and lateral control of the driving task in a defined scenario. Instead, fragmented trips with regard to automation, where drivers will have different levels of automation available at different times depending on road conditions and function availability, will remain dominant for quite some time [6]

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