Paper Info
Title
Architecture Model and Tools for Perceptual Dialog Systems
Abstract
In this paper, we present an architecture model for context-aware dialog-based services. We consider the term "context" in a broader meaning including presence and location of humans and objects, human behavior, human-to-human or human-to-computer interaction, activities of daily living, etc. We expect that the surrounding environment from which context is gathered is a "smart environment", i.e. a space (such as office, house, or public area) equipped with different sets of sensors, including audio and visual perception. Designing the underlying perceptual systems is a non-trivial task which involves interdisciplinary effort dealing with the integration of voice and image recognition technologies, situation modeling middleware, and context-aware interfaces into a robust and self-manageable software framework. To support fast development and tuning of dialog-based services, we introduce a simulation framework compliant with the proposed architecture. The framework is capable of gathering information from a broad set of sensors, of an event-based abstraction of such information, interaction with an integrated dialog system, and of a virtual representation of a smart environment in schematic 2D or realistic 3D projections. We elaborate on use-cases of architecture model referring the two projects where our system was successfully deployed.
Year
DOI
Venue
2008
10.1007/978-3-540-87391-4_71
TSD
Keywords
Field
DocType
smart environment,human-to-computer interaction,simulation framework compliant,architecture model,surrounding environment,dialog-based service,context-aware interface,self-manageable software framework,perceptual dialog systems,context-aware dialog-based service,proposed architecture,use case,human behavior,visual perception,difference set,activity of daily living,architecture,image recognition,simulation,software framework,visualization
Middleware,Dialog box,Smart environment,Architecture,Computer science,Virtual representation,Schematic,Human–computer interaction,Artificial intelligence,Dialog system,Natural language processing,Software framework
Conference
Volume
ISSN
Citations 
5246
0302-9743
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Jan Cuřín1315.51
Jan Kleindienst222023.74