nam 22 uu 4500 dbt_mods_00069358 10.5220/0010260600720080 doi dbt_mods_00069358 ger DE-601 rda eng 2026-02-16 600 sdnb Schnöll, Patrick Author aut (DE-588)1278445129 Influences of instructions about operations on the evaluation of the driver take-over task in cockpits of highly-automated vehicles Schnöll, Patrick (2026-02-16) 2021 9 Seiten text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper works towards the development of a technologically independent framework to help render human-centered examinations of the driver take-over task present in highly-automated vehicles comparable. Based on available literature, the state-of-the-art and best-practices for driver take-over task examinations are analyzed and discussed. It turned out, that the scope of the studies’ documentation, their level of detail as well as their wording differs significantly among themselves with respect to the instructions which were given to the test persons. Besides the stimulus materials made available to the test persons during the examinations, boundary conditions for the solution space of the task execution are defined by the instructions about operations provided. Therefore, the focus of this paper lies on the structural analysis of such instructions, suitable for a human-centered examination of the driver take-over task. By defining new demands for their documentation and enhancing comparability between future studies, this paper aims on holistically improving the robustness and validity of findings about human-performance in the field of automated vehicles. Automated Driving Automation Driver Take-Over Task Driving Simulator Human-Machine Interaction Human-Technology Interaction Interface Design Instructions Operations Take-Over Request article Technische Universität Ilmenau Fakultät für Elektrotechnik und Informationstechnik host institution his 2<72 ; Paljic, Alexis; Peck, Tabitha; Braz, Jose; Bouatouch, Kadi; HUCAPP 5. 2021 Online VISIGRAPP 2021 : proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : online streaming : February 8-10, 2021 XIII, 263 Seiten 2184-4321 978-989-758-488-6 dbt_mods_00069356 https://www.db-thueringen.de/receive/dbt_mods_00069358 object in context https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00070703/978-989-758-488-6_2_2021_72-80.pdf raw object https://www.db-thueringen.de/rsc/thumbnail/dbt_mods_00069358.png preview https://www.db-thueringen.de/receive/dbt_mods_00069358 uri