Gürses, Sergin (2020): Dataset underlying the master thesis: How Human-Machine Interaction keeps pace with Automated Vehicles. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:030e75bc-a2ad-4761-bcc7-9b43911315d9

Dataset

• Mechanical Engineering
• Automotive Engineering
• Communications Technologies

Automated driving, Automated Vehicles, Autonomous car, autonomous driving, HMI, Human Computer Interaction, Human Machine Interactions, Human Machine Interface Design, master thesis, Self-driving car

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sergin Gürses

This dataset contains results of a systematic review which analysed 340 papers about Human Machine Interaction in automated driving. These papers are categorized in multiple categories, such as SAE level, participant data and used metrics. Additionally, these papers were found with extensive query search in Google Scholar. This data set also provides these queries and their results.

• 2020-06-26 first online, published, posted

4TU.Centre for Research Data

media types: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, text/plain

• http://resolver.tudelft.nl/uuid:7ddf2758-577c-4e0f-98c6-54a20e45996d

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering