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Collecting end-users needs regarding driver state-based automation in the ADAS&ME project
Swedish National Road and Transport Research Institute, Traffic and road users, Human Factors in the Transport System.ORCID iD: 0000-0003-4140-3490
Swedish National Road and Transport Research Institute, Traffic and road users, Human Factors in the Transport System.ORCID iD: 0000-0002-4790-7094
TU Chemnitz, Germany.
DLR, Germany.
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2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The EU funded project ADAS&ME (Adaptive ADAS to support incapacitated drivers & Mitigate Effectively risks through tailor made HMI under automation) develops adapted Advanced Driver Assistance Systems. A web based survey was designed to collect the opinion of ADAS&ME end-users about automated functions that could support the driver/rider during different driving tasks. In total, 1094 persons answered the survey. The results reveal that most of the participants had heard of automated functions previously, and that about half of them also had experience using such functions. Several participants indicated concerns about data security. Furthermore, the results give an insight into how end-users perceive automation and what they see as advantages and limitations for implementation of automated driving systems corresponding to the ADAS&MEs’ goals.

Place, publisher, year, edition, pages
2018.
Keyword [en]
Questionnaire, Advanced driver assistance system, Attitude (psychol)
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:vti:diva-12877OAI: oai:DiVA.org:vti-12877DiVA, id: diva2:1200622
Conference
Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria
Projects
ADAS&ME
Funder
EU, Horizon 2020, 203048
Available from: 2018-04-24 Created: 2018-04-24 Last updated: 2018-06-11Bibliographically approved

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fulltext(941 kB)14 downloads
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c6547c7b3683c819c252aa041bfa49bd0392b4e62e530af93ff1814c0c10c49efa7cb994619d21ed158da396977c1746e73dfd396d5a4618650e69807dfd9671
Type fulltextMimetype application/pdf

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Dukic Willstrand, TaniaAnund, AnnaStrand, Niklas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf