Dataset underlying the master thesis: How Human-Machine Interaction keeps pace with Automated Vehicles

Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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.
history
  • 2020-06-26 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, text/plain
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering

DATA

files (2)