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Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens
An important factor for the acceptance and thus the spread of automated and connected driving (ACD) is the degree of subjective uncertainty that users experience when interacting with automated vehicles. Subjective uncertainties always occur when people are not able to predict the further course of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8250544/ https://www.ncbi.nlm.nih.gov/pubmed/34230678 http://dx.doi.org/10.1007/s10010-021-00500-y |
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author | Drewitz, Uwe Wilbrink, Marc Oehl, Michael Jipp, Meike Ihme, Klas |
author_facet | Drewitz, Uwe Wilbrink, Marc Oehl, Michael Jipp, Meike Ihme, Klas |
author_sort | Drewitz, Uwe |
collection | PubMed |
description | An important factor for the acceptance and thus the spread of automated and connected driving (ACD) is the degree of subjective uncertainty that users experience when interacting with automated vehicles. Subjective uncertainties always occur when people are not able to predict the further course of a situation or future events due to lack of experience or information. If such uncertainties occur during the use of automated vehicles, the development of trust and thus acceptance of this technology is impaired by the negative emotions accompanying subjective uncertainties. Within the AutoAkzept project (which full title translates to: Automation without uncertainty to increase the acceptance of automated and connected driving), solutions for user-focused automation have been developed that put vehicle occupants at the center of system development. User-focused systems take into account two basic human needs in human-machine interaction, the need to understand and the need to be understood. For this purpose, user-focused systems use different sensors to detect subjective uncertainties and their influencing factors in real time, integrate this information with context data and make adjustments that reduce subjective uncertainties. The systemic adaptations of user-focused systems follow a holistic approach that includes the levels of vehicle guidance, interior adaptation and information presentation as well as target guidance are included. By reducing or avoiding subjective uncertainties, the project developments contribute to a positive, comfortable user experience and help to increase the acceptance of ACD. This paper presents research results of AutoAkzept on the topics of user state and activity modelling as well as needs-based adaptation strategies, which represent key components for the implementation of user-focused automation. |
format | Online Article Text |
id | pubmed-8250544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-82505442021-07-02 Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens Drewitz, Uwe Wilbrink, Marc Oehl, Michael Jipp, Meike Ihme, Klas Forsch Ingenieurwes Originalarbeiten/Originals An important factor for the acceptance and thus the spread of automated and connected driving (ACD) is the degree of subjective uncertainty that users experience when interacting with automated vehicles. Subjective uncertainties always occur when people are not able to predict the further course of a situation or future events due to lack of experience or information. If such uncertainties occur during the use of automated vehicles, the development of trust and thus acceptance of this technology is impaired by the negative emotions accompanying subjective uncertainties. Within the AutoAkzept project (which full title translates to: Automation without uncertainty to increase the acceptance of automated and connected driving), solutions for user-focused automation have been developed that put vehicle occupants at the center of system development. User-focused systems take into account two basic human needs in human-machine interaction, the need to understand and the need to be understood. For this purpose, user-focused systems use different sensors to detect subjective uncertainties and their influencing factors in real time, integrate this information with context data and make adjustments that reduce subjective uncertainties. The systemic adaptations of user-focused systems follow a holistic approach that includes the levels of vehicle guidance, interior adaptation and information presentation as well as target guidance are included. By reducing or avoiding subjective uncertainties, the project developments contribute to a positive, comfortable user experience and help to increase the acceptance of ACD. This paper presents research results of AutoAkzept on the topics of user state and activity modelling as well as needs-based adaptation strategies, which represent key components for the implementation of user-focused automation. Springer Berlin Heidelberg 2021-07-02 2021 /pmc/articles/PMC8250544/ /pubmed/34230678 http://dx.doi.org/10.1007/s10010-021-00500-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access Dieser Artikel wird unter der Creative Commons Namensnennung 4.0 International Lizenz veröffentlicht, welche die Nutzung, Vervielfältigung, Bearbeitung, Verbreitung und Wiedergabe in jeglichem Medium und Format erlaubt, sofern Sie den/die ursprünglichen Autor(en) und die Quelle ordnungsgemäß nennen, einen Link zur Creative Commons Lizenz beifügen und angeben, ob Änderungen vorgenommen wurden. Die in diesem Artikel enthaltenen Bilder und sonstiges Drittmaterial unterliegen ebenfalls der genannten Creative Commons Lizenz, sofern sich aus der Abbildungslegende nichts anderes ergibt. Sofern das betreffende Material nicht unter der genannten Creative Commons Lizenz steht und die betreffende Handlung nicht nach gesetzlichen Vorschriften erlaubt ist, ist für die oben aufgeführten Weiterverwendungen des Materials die Einwilligung des jeweiligen Rechteinhabers einzuholen. Weitere Details zur Lizenz entnehmen Sie bitte der Lizenzinformation auf http://creativecommons.org/licenses/by/4.0/deed.de (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Originalarbeiten/Originals Drewitz, Uwe Wilbrink, Marc Oehl, Michael Jipp, Meike Ihme, Klas Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens |
title | Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens |
title_full | Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens |
title_fullStr | Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens |
title_full_unstemmed | Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens |
title_short | Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens |
title_sort | subjektive sicherheit zur steigerung der akzeptanz des automatisierten und vernetzten fahrens |
topic | Originalarbeiten/Originals |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8250544/ https://www.ncbi.nlm.nih.gov/pubmed/34230678 http://dx.doi.org/10.1007/s10010-021-00500-y |
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