How Human-Machine Interaction keeps pace with Automated Vehicles

A systematic review

Master Thesis (2020)
Author(s)

S.S. Gürses (TU Delft - Mechanical Engineering)

Contributor(s)

Riender Happee – Graduation committee member (TU Delft - Intelligent Vehicles)

Daniël D. Heikoop – Mentor (TU Delft - Transport and Planning)

S. Kim – Coach (TU Delft - Human Information Communication Design)

Faculty
Mechanical Engineering
Copyright
© 2020 Sergin Gürses
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Sergin Gürses
Graduation Date
02-07-2020
Awarding Institution
Delft University of Technology
Faculty
Mechanical Engineering
Reuse Rights

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Abstract

Human Machine Interface (HMI) is a design concept that improves the interaction between the driver and the automated vehicle, which leads to greater safety and comfort for the driver and greater safety for the road user. Therefore, many papers and patents are published every year. Many papers use different methodologies and materials due to some limitations. Finding an insight about the development of HMI in automated driving could be tough. An overview, such as a systematic review, could be used to create this insight. This paper provides a detailed systematic review, which contains 340 analysed papers and distinguishes them over 20 different categories. Results show an increasing interest in HMI for automated driving systems that reflects the common interest of the general population, an increasing interest of some levels of automation and the use of certain methodologies and materials. Lastly, several insights, caveats, and future implications are discussed.

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