Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Too Much of a Good Thing: When In-Car Driver Assistance Notifications Become Too Much
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.ORCID iD: 0000-0003-4344-9986
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska Koper, Slovenia.
2022 (English)In: AutomotiveUI '22: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications / [ed] Yong Gu Ji & Myounghoon Jeon, Association for Computing Machinery (ACM) , 2022, p. 79-82Conference paper, Published paper (Refereed)
Abstract [en]

Driving monitoring and assistance systems are increasingly implemented by car manufacturers to increase safety and comfort for car drivers. Through notifications such systems support or create awareness in different driving situations. To provide appropriate notifications, knowledge about the driver’s needs need to be gained. In this study we investigate the acceptance of certain notifications in several driving scenarios for different driving styles. Through focus groups we found that there are different notification needs based on driving styles in relation to different driving scenarios. However, our results suggest that notification needs are more influenced by the cognitive load that is used rather than driving style on its own. Furthermore, deeper knowledge should be gained on the negative effects of providing notifications as there are situations in which a driver is rather be left alone than being assisted through notifications.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2022. p. 79-82
Keywords [en]
DMAS, Driving Style, Cognitive Load, Driving Monitoring and Assistance Systems, MSDI
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-58608DOI: 10.1145/3544999.3552536Scopus ID: 2-s2.0-85139085410ISBN: 978-1-4503-9428-4 (electronic)OAI: oai:DiVA.org:hj-58608DiVA, id: diva2:1702148
Conference
AutomotiveUI '22, 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seoul Republic of Korea, September 17 - 20, 2022
Available from: 2022-10-10 Created: 2022-10-10 Last updated: 2022-10-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Ferwerda, Bruce

Search in DiVA

By author/editor
Ferwerda, Bruce
By organisation
JTH, Department of Computer Science and Informatics
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 59 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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