• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. PersonalAIzation - Exploring concepts and guidelines for AI-driven personalization of in-car HMIs in fully automated vehicles
 
  • Details
  • Full
Options
2022
Conference Paper
Title

PersonalAIzation - Exploring concepts and guidelines for AI-driven personalization of in-car HMIs in fully automated vehicles

Abstract
The role of the driver changes to that of a passenger in autonomous cars. Thus, the vehicle interior transforms from a cockpit into a multimedia station and workspace. This work explores concepts for Artificial Intelligence (AI) to provide a personalized user experience for the passengers in the form of Contextual Personalized Shortcuts and Personalized Services in the infotainment system. The two use cases were iteratively developed based on literature research and surveys. We evaluated AI- Personalized Services and compared AI-generated to the manually configurable shortcuts. AttrakDiff (Hassenzahl et al., 2003) and Car Technology Acceptance Model (CTAM; Osswald et al., 2012) were used to evaluate UX and user acceptance. The AI-Personalized interface obtained positive scores and reactions in the user testing and shows potential. Based on the insight from the user studies and literature review, we present and human-AI interaction guidelines to build effective AI-personalized HMIs.
Author(s)
Sundar, Shrivaas Madapusi
Bopp-Bertenbreiter, Valeria
Ziegler, Daniel  orcid-logo
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Kosuru, Ravi Kanth
Knecht, Christian  
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Pfleging, Bastian
Widlroither, Harald  
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Diederichs, Frederik  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Mainwork
Human Factors in Transportation  
Conference
International Conference on Human Factors in Transportation 2022  
File(s)
Download (870.35 KB)
Rights
Use according to copyright law
DOI
10.54941/ahfe1002474
10.24406/h-419156
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Keyword(s)
  • Artificial intelligence

  • Automated driving

  • AI-driven personalization

  • Personalized interfaces

  • Design guidelines

  • Interaction guidelines

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024