@InProceedings{Ortmanns2018_382,
author = {Dr. Stefan Ortmanns and Dr. Udo Haiber},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2018},
title = {The Mobile Cognitive Assistant: Bridging the Gap between In-Car and Outside-the-car Experiences},
year = {2018},
editor = {André Berton and Udo Haiber and Wolfgang Minker},
month = mar,
pages = {1--6},
publisher = {TUDpress, Dresden},
abstract = {By 2020, there will be 26 billion intelligent, capable, connected devices armed with
conversational virtual assistants that manage nearly every possible consumer experience.
But already today one of the biggest consumer challenges in our more and more connected
world is the need to learn and remember the specific capabilities and vocabularies of
multiple assistants spread across different services and devices.
The next generation of the mobile cognitive assistants for connected (and eventually
autonomous, electric and shared) cars are determined by number of indispensable prerequisites.
These so-called automotive assistants need to be always available and not
limited by connectivity constraints, but based on a robust hybrid, embedded-cloud
architecture, taking consideration for data privacy needs. At the same time, they need to
be intelligent and knowledgeable, leveraging machine learning and contextual reasoning
that enables more personalized and contextual results as well as collaborative interactions
with assistants in order to complete more complex, realistic tasks with higher accuracy.
They need to interact with drivers as well as passengers using latest advancements in
speech signal enhancement technologies paired with reliable voice biometrics technology
differentiating between multiple users. And last, but not least the automotive assistant
needs to intelligently give drivers seamless access and control to third party assistants and
chatbots inside and outside the car using latest cognitive arbitration capabilities. In the
following speech we will elaborate the underlying technologies and capabilities to bring
the mobile cognitive assistant to live.},
isbn = {978-3-959081-28-3},
issn = {0940-6832},
keywords = {Hauptvortrag},
url = {https://www.essv.de/pdf/2018_1_6.pdf},
}