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Towards User-Focused Vehicle Automation: The Architectural Approach of the AutoAkzept Project

Drewitz, Uwe and Ihme, Klas and Bahnmueller, Carsten and Fleischer, Tobias and La, HuuChuong and Pape, Anna-Antonia and Gräfing, Daniela and Niermann, Dario and Trende, Alexander (2020) Towards User-Focused Vehicle Automation: The Architectural Approach of the AutoAkzept Project. Springer. International Conference on Human-Computer Interaction, 24.-29. Juli 2021, Kopenhagen. doi: 10.1007/978-3-030-50523-3_2. ISBN 978-3-030-50523-3.

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Official URL: https://link.springer.com/chapter/10.1007%2F978-3-030-50523-3_2

Abstract

The acceptance and hence the spread of automated and connected driving (ACD) systems is largely determined by the degree of subjective un-/certainty that users feel when interacting with automated vehicles. User acceptance is negatively influenced in particular by feelings of uncertainty when interacting with automated vehicles. The AutoAkzept project (which full title translates to: Automation without uncertainty to increase the acceptance of automated and connected driving) develops solutions of user-focused automation that place the vehicle occupants at the center of system development and thus reduce their uncertainty. Systems with user-focused automation use various sensors to detect uncertainty and its contributing factors (e.g. stress, kinetosis, and activity) in real time, integrate this information with context data and derive the current needs of the vehicle occupants. For this purpose, the project AutoAkzept develops an integrated architecture for context-sensitive user modelling, derivation of user demands and adaptation of system functions (e.g. human-machine-interaction, interior, driving styles). The architecture is implemented using machine learning methods to develop real-time algorithms that map situational contexts, user states and adaptation requirements. The overall objective of AutoAkzept is the development of promising adaptation strategies to improve the user experience based on the identified uncertainty related needs. By reducing or preventing subjective uncertainties, the developments of the project thus ensure a positive, comfortable user experience and contribute to increasing the acceptance of ACD.

Item URL in elib:https://elib.dlr.de/142010/
Document Type:Conference or Workshop Item (Speech)
Title:Towards User-Focused Vehicle Automation: The Architectural Approach of the AutoAkzept Project
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Drewitz, Uweuwe.drewitz (at) dlr.deUNSPECIFIED
Ihme, Klasklas.ihme (at) dlr.deUNSPECIFIED
Bahnmueller, Carstencarsten.bahnmueller (at) twt-gmbh.deUNSPECIFIED
Fleischer, Tobiastobias.fleischer (at) twt-gmbh.deUNSPECIFIED
La, HuuChuonghuuchoung.la (at) twt-gmbh.deUNSPECIFIED
Pape, Anna-Antoniaanna.pape (at) twt-gmbh.deUNSPECIFIED
Gräfing, Danieladaniela.graefing (at) offis.deUNSPECIFIED
Niermann, Dariodario.niermann (at) offis.deUNSPECIFIED
Trende, Alexanderalexander.trende (at) offis.deUNSPECIFIED
Date:July 2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:12212
DOI :10.1007/978-3-030-50523-3_2
Page Range:pp. 15-30
Editors:
EditorsEmailEditor's ORCID iD
Krömker, HeidiUNSPECIFIEDUNSPECIFIED
Publisher:Springer
Series Name:Lecture Notes in Computer Science
ISBN:978-3-030-50523-3
Status:Published
Keywords:Automated driving, User-focused automation, Context-sensitive user modelling, Driver monitoring, Driver States
Event Title:International Conference on Human-Computer Interaction
Event Location:Kopenhagen
Event Type:international Conference
Event Dates:24.-29. Juli 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Information Flow Modelling in Mobility Systems, BS
Deposited By: Drewitz, Dr Uwe
Deposited On:01 Sep 2021 07:16
Last Modified:01 Sep 2021 07:16

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