Title :
OwlSpeak - adaptive spoken dialogue within Intelligent Environments
Author :
Heinroth, Tobias ; Denich, Dan ; Schmitt, Alexander
Author_Institution :
Ulm Univ., Ulm, Germany
fDate :
March 29 2010-April 2 2010
Abstract :
In this paper we describe the OwlSpeak dialogue manager that enables adaptive spoken dialogue within Intelligent Environments. By facilitating an ontology-based model to define both dialogue domain and state during the ongoing dialogue we turn-wise generate VoiceXML dialogue snippets. We define adaptive dialogues to be adaptive regarding devices and services within the Intelligent Environment, events such as alerts that happen suddenly, and tasks, which may change and/or evolve during an ongoing human-system negotiation. After presenting a scenario that reflects the capabilities and challenges of the system we analyse an exemplary spoken dialogue. The focus of this publication lies on the underlying model - the Spoken Dialogue Ontology. We describe the logical framework of this ontology in detail and give some outlook on future work.
Keywords :
XML; ontologies (artificial intelligence); speech processing; OwlSpeak dialogue manager; VoiceXML dialogue snippet; adaptive spoken dialogue; intelligent environment; ontology-based model; Automatic speech recognition; Availability; Collaboration; Context awareness; Context-aware services; Control systems; Internet; Ontologies; Speech recognition; Speech synthesis; HCI; knowledge representation; ontology; spoken dialogue management;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference on
Conference_Location :
Mannheim
Print_ISBN :
978-1-4244-6605-4
Electronic_ISBN :
978-1-4244-6606-1
DOI :
10.1109/PERCOMW.2010.5470518