A model-based approach to the design and rendering of adaptive automotive user interfaces

Abstract

Model-based design techniques have positively affected development time, cost, reliability, and effectiveness of user interfaces in various areas of modern ICT. Due to its immediate safety impact, the field of automotive UIs is particularly relevant and a primary candidate for model-based UI design. We further observe that personalized systems are gaining popularity in various mobile scenarios, such as Apple's Siri speech dialogue system, which exploits knowledge about the user to provide a distinct benefit. In the automotive domain though, personalization is still not commonly encountered. In this contribution, we discuss the aspects that make personalization challenging in this area, and investigate how industry-grade design principles help simplify the task. Our approach focuses on a UIML-based architecture for designing and rendering adaptive graphical dialogue systems for display in vehicles. Finally, we present an in-car parking assistance application that showcases how the framework could be employed and discuss some early numbers on its reception.