How to get people to say and type what computers can understand
International Journal of Man-Machine Studies
ISSD-93 Selected papers presented at the international symposium on Spoken dialogue
The Philips automatic train timetable information system
Speech Communication - Special issue on interactive voice technology for telecommunication applications
How do users know what to say?
interactions
The LIMSI RailTel system: field trial of a telephone service for rail travel information
Speech Communication - Special issue on interactive voice technology for telecommunication applications (IVITA '96)
A Unified Framework for Constructing Multimodal Experiments and Applications
CMC '98 Revised Papers from the Second International Conference on Cooperative Multimodal Communication
Providing computer game characters with conversational abilities
Lecture Notes in Computer Science
Towards human-like spoken dialogue systems
Speech Communication
Proposing a speech to gesture translation architecture for Spanish deaf people
Journal of Visual Languages and Computing
Speech to sign language translation system for Spanish
Speech Communication
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
A review of ASR technologies for children's speech
Proceedings of the 2nd Workshop on Child, Computer and Interaction
Detecting emotional state of a child in a conversational computer game
Computer Speech and Language
Communicating with multiple users for embodied conversational agents in quiz game context
International Journal of Intelligent Information and Database Systems
Creating a general collaborative dialogue agent with lounge strategy feature
Expert Systems with Applications: An International Journal
A two-stage domain selection framework for extensible multi-domain spoken dialogue systems
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
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In this paper, the August spoken dialogue system is described. This experimental Swedish dialogue system, which featured an animated talking agent, was exposed to the general public during a trial period of six months. The construction of the system was partly motivated by the need to collect genuine speech data from people with little or no previous experience of spoken dialogue systems. A corpus of more than 10,000 utterances of spontaneous computer- directed speech was collected and empirical linguistic analyses were carried out. Acoustical, lexical and syntactical aspects of this data were examined. In particular, user behavior and user adaptation during error resolution were emphasized. Repetitive sequences in the database were analyzed in detail. Results suggest that computer-directed speech during error resolution is increased in duration, hyperarticulated and contains inserted pauses. Design decisions which may have influenced how the users behaved when they interacted with August are discussed and implications for the development of future systems are outlined.