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Drivers’ knowledge and learning of advanced driver assistance systems
Swedish National Road and Transport Research Institute, Traffic and road users, Human-vehicle-transport system interaction.
Swedish National Road and Transport Research Institute, Traffic and road users, Human-vehicle-transport system interaction.ORCID iD: 0000-0002-8243-419X
2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This study addressed end-users’ knowledge of Advanced Driver Assistance Systems (ADAS) and the role of learning in relation to use of the systems. Therefore end-users’ perspective on the subject of the systems’ purpose, functions, potential risks and usefulness were explored, as well as motives behind choosing to use the systems. The study used qualitative/mixed methods through a combination of focus group interviews, questionnaires, and in-depth interviews. Results show that safety, technology interest and assistance were the main motives which influenced knowledge, learning and use of ADAS. Furthermore two groups of users were identified: drivers with special interest in car technology, and drivers with less interest in car technology. They had different needs and relations to the systems. An indication is that activities for learning could close the gap of knowledge and raise compatibility as well as value of ADAS, beneficial for both users and traffic safety.

Place, publisher, year, edition, pages
2015.
Keyword [en]
Driver assistanse system, Comprehension, Learning, Motivation
National Category
Engineering and Technology
Research subject
80 Road: Traffic safety and accidents, 841 Road: Road user behaviour
Identifiers
URN: urn:nbn:se:vti:diva-8036OAI: oai:DiVA.org:vti-8036DiVA: diva2:861765
Conference
22nd ITS World Congress, Bordeaux, France, 5–9 October 2015
Available from: 2015-10-19 Created: 2015-10-19 Last updated: 2016-07-06Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
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  • asciidoc
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