Smart dialogs for in-vehicle infotainment: integrating and customizing voice assistants

This paper showcases how dialog definition, management, and domain information can be packaged in a uniform, ontology-based model that drives a dialog manager.


Smart dialogs for in-vehicle infotainment: integrating and customizing voice assistants

Table of contents

  • Introduction
  • Dialog scenario
  • Knowledge & reasoning
  • System architecture
  • Ontology-based dialog modeling
  • Supported Voice Assistants
  • Conclusion and outlook


The Internet of Things is transforming the way we live, work and play. As connectivity moves into a range of home devices, applications and services, so do the customer expectations to experience on-market voice assistant (VA) capabilities during driving. With the EB Voice Assistant solution, we introduce a novel voice dialog framework for in-vehicle infotainment (IVI) applications. Our solution supports local creation and test of dialog models, as well as their deployment for on-market VA platforms like Amazon Alexa or Google Assistant. It extends the built-in capabilities of the existing VAs by offering modeling means for natural dialog and for tightly linking dialog knowledge with external data. With EB's object-oriented and modular architecture, the above framework allows customers to have fl exible, faster, reliable and continuous VA integrations into their IVI platforms during the whole project lifecycle.


Resource type
Tech paper


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