On the road and on the Web?: comprehension of synthetic and human speech while driving
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Partially observable Markov decision processes for spoken dialog systems
Computer Speech and Language
A general, abstract model of incremental dialogue processing
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
Computer Speech and Language
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
Computer Speech and Language
Emotional investment in naturalistic data collection
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
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In recent years statistical dialogue systems have gained significant attention due to their potential to be more robust to speech recognition errors. However, these systems must also be robust to changes in user behaviour caused by cognitive loading. In this paper, a statistical dialogue system providing restaurant information is evaluated in a set-up where the subjects used a driving simulator whilst talking to the system. The influences of cognitive loading were investigated and some clear differences in behaviour were discovered. In particular, it was found that users chose to respond to different system questions and use different speaking styles, which indicate the need for an incremental dialogue approach.