Title
Analysis and modeling of next speaking start timing based on gaze behavior in multi-party meetings
Abstract
To realize a conversational interface where an agent system can smoothly communicate with multiple persons, it is imperative to know how the start timing of speaking is decided. In this research, we demonstrate a relationship between gaze transition patterns and the start timing of next speaking against the end of the last speaking in multi-party meetings. Then, we construct a prediction model for the start timing using gaze transition patterns near the end of an utterance. An analysis of data collected from natural multi-party meetings reveals a strong relationship between gaze transition patterns of the speaker, next speaker, and listener and the start timing of the next speaker. On the basis of the results, we used gaze transition patterns of the speaker, next speaker, and listener and mutual gaze as variables, and devised several prediction models. A model using all features performed the best and was able to predict the start timing well.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6853685
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
data analysis,speaker recognition,data analysis,gaze behavior,multiparty meetings,next speaking start timing,speaker gaze transition patterns,Speaking timing,gaze transition pattern,multi-party meetings,mutual gaze,prediction model
Gaze,Data analysis,Computer science,Utterance,Speech recognition,Artificial intelligence,Natural language processing
Conference
ISSN
Citations 
PageRank 
1520-6149
11
0.61
References 
Authors
10
4
Name
Order
Citations
PageRank
Ishii, R.1110.61
Kazuhiro Otsuka261954.15
Shiro Kumano314916.82
Junji Yamato41120165.72