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  4. Individual Traffic Information Preferences in User Interfaces for Automated Driving - A Driving Simulator Study
 
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2022
Conference Paper
Titel

Individual Traffic Information Preferences in User Interfaces for Automated Driving - A Driving Simulator Study

Abstract
Automated driving (AD) has the potential to change our mobility by giving us back the riding time for our free disposal. Since this aims at a broad base of customers, the people using such technology can strongly differ. Differences can comprise for instance prior AD experience, driving frequency, or physical impairments. In this paper, we investigate which effects these user characteristics have on the preferences regarding displayed surrounding traffic information. We do so by using a moving-base simulator study with 58 participants. We found that drivers with experience with automatic cruise control perceive information regarding surrounding traffic as significantly less important, while users with higher driving frequency or sight impair found them significantly more important. For theory this implicates that different user interfaces for different users are ideal and personalization can foster user experience.
Author(s)
Driesen-Micklitz, Tim
Fellmann, Michael
Röcker, Carsten
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Hauptwerk
33rd IEEE Intelligent Vehicles Symposium, IV 2022
Konferenz
Intelligent Vehicles Symposium 2022
Thumbnail Image
DOI
10.1109/iv51971.2022.9827177
Language
English
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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Tags
  • Intelligent vehicles

  • Automatic frequency c...

  • User interfaces

  • Product development

  • User experience

  • Object recognition

  • Usability

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