TY - GEN
T1 - Analysis of efficient multimodal features for estimating user's willingness to talk
T2 - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
AU - Chiba, Yuya
AU - Nose, Takashi
AU - Ito, Akinori
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - A dialog system can select a more favorable action to a user by estimating the user's internal state. In this paper, we introduce the user's willingness to talk, whether the user wants to talk about a topic or to answer a question posed by the system. The dialog system is expected to increase user satisfaction by managing the dialog based on the user's willingness to talk. In the previous report, we investigated the effective multimodal features for estimating the willingness to talk through humanhuman dialogs but it was not clear whether these features were also useful for human-machine dialog. Thus, we collected the interview dialog data based on the Wizard of Oz (WOZ) basis and investigated the effect of the multimodal features by the discrimination experiments.
AB - A dialog system can select a more favorable action to a user by estimating the user's internal state. In this paper, we introduce the user's willingness to talk, whether the user wants to talk about a topic or to answer a question posed by the system. The dialog system is expected to increase user satisfaction by managing the dialog based on the user's willingness to talk. In the previous report, we investigated the effective multimodal features for estimating the willingness to talk through humanhuman dialogs but it was not clear whether these features were also useful for human-machine dialog. Thus, we collected the interview dialog data based on the Wizard of Oz (WOZ) basis and investigated the effect of the multimodal features by the discrimination experiments.
UR - http://www.scopus.com/inward/record.url?scp=85050390776&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050390776&partnerID=8YFLogxK
U2 - 10.1109/APSIPA.2017.8282069
DO - 10.1109/APSIPA.2017.8282069
M3 - Conference contribution
AN - SCOPUS:85050390776
T3 - Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
SP - 428
EP - 431
BT - Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 December 2017 through 15 December 2017
ER -