945
Views
20
CrossRef citations to date
0
Altmetric
Original Articles

Design and Evaluation of a Touch-Based Personalizable In-Vehicle User Interface

Pages 731-745 | Published online: 14 Oct 2015
 

Abstract

There is a trend of personalizable products at the same time as there is a substantial growth of functions in the automobile user interface. A research through design approach was used to explore the potential of a personalizable vehicle user interface to improve traffic safety as well as user experience by offering a product that is tailored to the user’s own needs and preferences. A prototype was evaluated by 20 participants with several methods: interviews, Computer System Usability Questionnaire, Microsoft product reaction cards, and driving simulator measures. The prototype was experienced positively (flexible, easy to use, and usable), few usability issues were found, no negative effects on driving performance were found, and it was assumed that it could improve traffic safety. All participants stated that they would want to use such a system in their own cars.

Additional information

Notes on contributors

Carl Jörgen Normark

Carl Jörgen Normark has a Ph.D. in industrial design and works as a senior lecturer in the same subject at Luleå University of Technology. His main interests are research and teaching in interaction design, user-centered design, user experience, and a number of other design subjects where the human interaction with products and services are in focus.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 306.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.