Project

MADMACS

Multiadaptive Dialogue Managementfor Cyber-physical Environments

Multiadaptive Dialogue Managementfor Cyber-physical Environments

  • Duration:

Currently, networked cyberphysical systems are the basis for intelligent environments in a variety of settings such as smart factories, smart transportation systems, smart shops, and smart buildings. However, one of the remaining grand challenges for the new post-PC era of the Internet of Things is to transform the way how humans interact with and control such cyberphysical environments (CPE). Today, user-interface methodologies and technologies are still largely dominated by the traditional paradigm of human-computer interaction, where a single user interacts with a single stationary computing device. Therefore, the main goal of the MADMACS project is to lay the foundations for a new generation of user interfaces that are adequate for human-environment interaction in CPE. A major design goal of MADMACS is the creation of a multiadaptive dialogue management system that is adaptive in multiple ways: adaptive to various CPE, adaptive to diverse modality combinations, adaptive to a variety of interaction metaphors, and adaptive to diverse task domains and user models

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Contact Person
Dr.-Ing. Michael Feld

Publications about the project

Yannick Körber, Michael Feld, Tim Schwartz

In: Proceedings of 2017 Intelligent Systems Conference. Intelligent Systems Conference (IntelliSys-2017) September 7-8 London United Kingdom Pages 531-541 ISBN 978-1-5090-6435-9 IEEE 2017.

To the publication
Yannick Körber, Vanessa Hahn, Mohammad Mehdi Moniri, Tim Schwartz, Michael Feld

In: Proceedings of the International Conference on Intelligent Environments (IE). International Conference on Intelligent Environments (IE-17) 13th August 21-25 Seoul South Korea IEEE 2017.

To the publication
Yannick Körber

In: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. International Conference on Mobile and Ubiquitous Multimedia (MUM-2017) 16th November 26-29 Stuttgart Germany ACM 2017.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz