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Degree Show 2018

Jamie David West

Experience
  • 16 Jaguar Land Rover - Production Ergonomist

Final Year Project

The assessment of HMI feedback in level 4 autonomous vehicles in relation to user trust

To develop an understanding of whether visual and audio feedback contributes to driver trust in a level 4 autonomous vehicle.

The mass production and delivery of personal vehicles, was a phenomenon of the 20th century. In recent times, this has evolved into the slow move from internal combustion engine vehicles in favour of hybrid and electric vehicles. This has brought advancements in driver aids with roads becoming further congested on busy cities and motorways.

In response to the increased risk due to an increasing number of road users there have been a variety of driver assistance systems that have now been developed by automotive manufacturers. It is stated, that these systems are to automate mundane driving operations, reducing driver burden and ultimately reduce highway accidents.

In the past driver assistance functions have included, navigation systems, parking assistance and stability control programmes. These are features now widely prevalent on passenger vehicles.

Systems commonly featured include, adaptive cruise control, collision avoidance systems, land departure warning systems, vision enhancement, driver condition monitoring systems and safety event recorders. The aim of these systems is to reduce the likelihood of accidents.

These advancements are a progression in advanced driver assistance systems (ADAS).

ADAS has been developed through various physical sensors such as, LIDAR, ultrasonic, cameras, and night-vision devices. Numerous vehicle manufacturers have developed their own ADAS and warning signal systems, that employ a multitude of methods in terms of capturing the users attention. These include, haptic feedback, audio, and visual. ADAS has paved the way for autonomy in vehicles.

This study looks to understand the impact of visual and audio feedback on drivers, and how this changes with increased and decreased input from both assistance systems. The ultimate question is do both pieces of information need to be linked. This feeds into how much trust a user places upon an automated system.