@inproceedings{c255a866218c46ac86fa93fa9466505a,
title = "Constructing a mental model of automation levels in the area of vehicle guidance",
abstract = "The aim of this work was to construct a mental model of automation in the area of vehicle guidance. The users{\textquoteright} understanding and mental model affect the safety and user experience. The qualitative method Card Sorting was applied with 25 participants. The task was to categorize cards on driving automation according to the participants{\textquoteright} own understanding. Analysis showed that the mental model of automation in the area of vehicle guidance is made up of three levels: the level “Information and Driver” incorporates functions, which do not influence lateral and longitudinal guidance of the vehicle. Systems that interfere or control the lateral and longitudinal guidance of the vehicle are included in the level “Assisted to Automated Driving”. The level “Autonomous Driving” specifies systems that operate the vehicle independently while no driver has to be present. Findings indicate a mismatch between the mental model of users and well-known taxonomies of automated driving.",
keywords = "Automated driving, Levels of automation, Mental models",
author = "Larissa Zacherl and Jonas Radlmayr and Klaus Bengler",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 ; Conference date: 19-02-2020 Through 21-02-2020",
year = "2020",
doi = "10.1007/978-3-030-39512-4_12",
language = "English",
isbn = "9783030395117",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "73--79",
editor = "Tareq Ahram and Waldemar Karwowski and Alberto Vergnano and Francesco Leali and Redha Taiar",
booktitle = "Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020",
}