Research Project
Grant-in-Aid for Young Scientists (B)
We quantitatively modeled users' habituation to a spoken dialogue system by focusing on temporal changes in user behaviors measured by automatic speech recognition (ASR) accuracy and barge-in rates. This model on changing user behaviors can be used as a fundamental finding for realizing user-adaptive interactions. The model is applicable to spoken dialogue systems that generate adaptive responses and select correct ASR results from those that may contain errors. We showed its effectiveness by the improvement of selection accuracy for barge-in utterances.
All 2011 2010 2009 Other
All Journal Article (7 results) (of which Peer Reviewed: 7 results) Presentation (14 results) Remarks (1 results)
Knowledge-Based Systems Vol.24, Issue 2
Pages: 248-256
Knowledge-Based Systems
Volume: Vol.24,Issue 2 Pages: 248-256
IEICE Transactions on Information and Systems Vol.E93-D, No.12
Pages: 3359-3367
10027989211
電子情報通信学会論文誌 Vol.J93-D, No.6
Pages: 879-888
110007618361
電子情報通信学会論文誌
Volume: Vol.J93-D,No.6 Pages: 879-888
IEICE Transaction on Information and Systems
Volume: Vol.E93-D,No.12 Pages: 3359-3367
電子情報通信学会論文誌 Vol.J93-D
http://sslab.nuee.nagoya-u.ac.jp/~komatani/