The role of frame-based representation in reasoning
Communications of the ACM
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Voice User Interface Design
Spoken Dialogue Technology
Spoken dialogue management using probabilistic reasoning
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
The Knowledge Engineering Review
Partially observable Markov decision processes for spoken dialog systems
Computer Speech and Language
Probabilistic simulation of human-machine dialogues
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Relations between de-facto criteria in the evaluation of a spoken dialogue system
Speech Communication
A statistical approach to spoken dialog systems design and evaluation
Speech Communication
Efficient BP Algorithms for General Feedforward Neural Networks
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Training a real-world POMDP-based dialogue system
NAACL-HLT-Dialog '07 Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies
Technical support dialog systems: issues, problems, and solutions
NAACL-HLT-Dialog '07 Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies
NAACL-HLT-Dialog '07 Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies
Agenda-based user simulation for bootstrapping a POMDP dialogue system
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Are We There Yet? Research in Commercial Spoken Dialog Systems
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Optimizing dialogue management with reinforcement learning: experiments with the NJFun system
Journal of Artificial Intelligence Research
The role of spoken language dialogue interaction in intelligent environments
Journal of Ambient Intelligence and Smart Environments
Using knowledge of misunderstandings to increase the robustness of spoken dialogue systems
Knowledge-Based Systems
Exploring the responsibilities of single-inhabitant Smart Homes with Use Cases
Journal of Ambient Intelligence and Smart Environments
A methodology for learning optimal dialog strategies
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Journal of Ambient Intelligence and Smart Environments
A framework for adapting interactive systems to user behavior
Journal of Ambient Intelligence and Smart Environments
Conversation as action under uncertainty
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Benefits of social intelligence in home dialogue systems
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
A probabilistic framework for dialog simulation and optimal strategy learning
IEEE Transactions on Audio, Speech, and Language Processing
A Dynamic Spoken Dialogue Interface for Ambient Intelligence Interaction
International Journal of Ambient Computing and Intelligence
A domain-independent statistical methodology for dialog management in spoken dialog systems
Computer Speech and Language
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The users of Ambient Intelligence systems expect an intelligent behavior from their environment, receiving adapted and easily accessible services and functionality. This can only be possible if the communication between the user and the system is carried out through an interface that is simple (i.e. which does not have a steep learning curve), fluid (i.e. the communication takes place rapidly and effectively), and robust (i.e. the system understands the user correctly). Natural language interfaces such as dialog systems combine the previous three requisites, as they are based on a spoken conversation between the user and the system that resembles human communication. The current industrial development of commercial dialog systems deploys robust interfaces in strictly defined application domains. However, commercial systems have not yet adopted the new perspective proposed in the academic settings, which would allow straightforward adaptation of these interfaces to various application domains. This would be highly beneficial for their use in AmI settings as the same interface could be used in varying environments. In this paper, we propose a new approach to bridge the gap between the academic and industrial perspectives in order to develop dialog systems using an academic paradigm while employing the industrial standards, which makes it possible to obtain new generation interfaces without the need for changing the already existing commercial infrastructures. Our proposal has been evaluated with the successful development of a real dialog system that follows our proposed approach to manage dialog and generates code compliant with the industry-wide standard VoiceXML.