Neurobiologically Inspired, Multimodal Intention Recognition for Technical Communication Systems (NIMITEK)

Authors:
Andreas Wendemuth;Jochen Braun;Bernd Michaelis;Frank Ohl;Dietmar Rösner;Henning Scheich;Ralf Warnemünde
Affiliations:
Otto-von-Guericke University, Magdeburg, Germany 39106;Otto-von-Guericke University, Magdeburg, Germany 39106;Otto-von-Guericke University, Magdeburg, Germany 39106;Leibniz Institute for Neurobiology, Magdeburg, Germany 39118;Otto-von-Guericke University, Magdeburg, Germany 39106;Leibniz Institute for Neurobiology, Magdeburg, Germany 39118;Fraunhofer IFF, Magdeburg, Germany 39106
Venue:
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Year:
2008

Citing 1
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Abstract

NIMITEK investigates basic principles of the processing of input (speech, mimics, direct modes), knowledge representation and decision making in dialogue situations between biological / human and technical cognitive systems. This is prototypical for the basic problem of modeling intelligent behavior in interaction with a non-transparent and rapidly changing environment. NIMITEK provides a technical demonstrator to study these principles in a dedicated prototypical task, namely solving the game "Towers of Hanoi". In this paper, we will describe the general approach NIMITEK takes to emotional man-machine interactions, and we will present the principles of the demonstrator.