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Stress and Workload when Using the Lane Keeping Assistant: Driving Experience with Advanced Driver Assistance Systems

  • In a recent study with N = 50 subjects, the lane keeping assistant was tested on more than 3,500 km on public roads in the Allgäu. To test the various settings of the lane keeping assistant, different conditions were tested: 120km/h versus 160km/h as well as with versus without lane keeping assistant. The evaluation of the criteria for lane keeping assistant, such as edge management and degree of relief show a significant relationship with the experienced workload. The increased workload as well as stress when using the lane keeping assistant system could be detected and proved subjectively as well as with physiological measuring devices. The significantly higher stress experienced with the use of the lane keeping assistant system shows the immense importance that the further research on this system has.

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Author:Corinna Seidler, Bernhard SchickORCiD
URL / DOI:https://www.researchgate.net/publication/329424803_Stress_and_workload_when_using_the_lane_keeping_assistant_-_Driving_experience_with_advanced_driver_assistance_systems
Identifier:978-3-00-057468-9 OPAC HS OPAC extern
Parent Title (English):27. Aachen Colloquium Automobile and Engine Technology
Publisher:Institute for Automotive Engineering, RWTH Aachen
Place of publication:Aachen
Editor:Lutz Eckstein, Stefan Pischinger, Benedikt Hammermüller, Rainer Wolfsfeld
Document Type:conference proceeding (article)
Conference:27. Aachen Colloquium Automobile and Engine Technology : October 8th-10th, 2018, Eurogress Aachen, Germany
Language:English
Year of first Publication:2018
Tag:MLPaSSAD
advanced driver assistance systems; automated driving; driving experience; human factor; human machine interface; lane keeping system; stress; workload
Number of pages:17 Seiten
First Page:1263
Last Page:1279
Institutes:Fakultät Maschinenbau
IFM - Institut für Fahrerassistenz und vernetzte Mobilität
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften
Research focus:FSP2: Mobilität
Publication Lists:Schick, Bernhard
Research Project:MLPaSSAD – New Multi-Layer Platforms for Security and Safety-Relevant Automated Driving Functions
Publication reviewed:begutachtet
Release Date:2020/08/12
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