@inproceedings{lala-etal-2017-attentive,
title = "Attentive listening system with backchanneling, response generation and flexible turn-taking",
author = "Lala, Divesh and
Milhorat, Pierrick and
Inoue, Koji and
Ishida, Masanari and
Takanashi, Katsuya and
Kawahara, Tatsuya",
editor = "Jokinen, Kristiina and
Stede, Manfred and
DeVault, David and
Louis, Annie",
booktitle = "Proceedings of the 18th Annual {SIG}dial Meeting on Discourse and Dialogue",
month = aug,
year = "2017",
address = {Saarbr{\"u}cken, Germany},
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5516",
doi = "10.18653/v1/W17-5516",
pages = "127--136",
abstract = "Attentive listening systems are designed to let people, especially senior people, keep talking to maintain communication ability and mental health. This paper addresses key components of an attentive listening system which encourages users to talk smoothly. First, we introduce continuous prediction of end-of-utterances and generation of backchannels, rather than generating backchannels after end-point detection of utterances. This improves subjective evaluations of backchannels. Second, we propose an effective statement response mechanism which detects focus words and responds in the form of a question or partial repeat. This can be applied to any statement. Moreover, a flexible turn-taking mechanism is designed which uses backchannels or fillers when the turn-switch is ambiguous. These techniques are integrated into a humanoid robot to conduct attentive listening. We test the feasibility of the system in a pilot experiment and show that it can produce coherent dialogues during conversation.",
}
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%0 Conference Proceedings
%T Attentive listening system with backchanneling, response generation and flexible turn-taking
%A Lala, Divesh
%A Milhorat, Pierrick
%A Inoue, Koji
%A Ishida, Masanari
%A Takanashi, Katsuya
%A Kawahara, Tatsuya
%Y Jokinen, Kristiina
%Y Stede, Manfred
%Y DeVault, David
%Y Louis, Annie
%S Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
%D 2017
%8 August
%I Association for Computational Linguistics
%C Saarbrücken, Germany
%F lala-etal-2017-attentive
%X Attentive listening systems are designed to let people, especially senior people, keep talking to maintain communication ability and mental health. This paper addresses key components of an attentive listening system which encourages users to talk smoothly. First, we introduce continuous prediction of end-of-utterances and generation of backchannels, rather than generating backchannels after end-point detection of utterances. This improves subjective evaluations of backchannels. Second, we propose an effective statement response mechanism which detects focus words and responds in the form of a question or partial repeat. This can be applied to any statement. Moreover, a flexible turn-taking mechanism is designed which uses backchannels or fillers when the turn-switch is ambiguous. These techniques are integrated into a humanoid robot to conduct attentive listening. We test the feasibility of the system in a pilot experiment and show that it can produce coherent dialogues during conversation.
%R 10.18653/v1/W17-5516
%U https://aclanthology.org/W17-5516
%U https://doi.org/10.18653/v1/W17-5516
%P 127-136
Markdown (Informal)
[Attentive listening system with backchanneling, response generation and flexible turn-taking](https://aclanthology.org/W17-5516) (Lala et al., SIGDIAL 2017)
ACL