Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLC |
2022-03-07 14:40 |
Online |
Online |
Trial for tendency analysis from carputer log toward car trip support Hiroto Tamakoshi, Masato Tokuhisa, Syuhei Kimura (Tottori Univ.) NLC2021-34 |
This paper reports trial methods to acquire information helpful for car-trip supports from carputer logs. With the recen... [more] |
NLC2021-34 pp.35-40 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 10:45 |
Online |
Online |
User Satisfaction Prediction for Dialogue System in Mental Health Interventions Shengzhou Yi (UTokyo), Toshiaki Kikuchi (Keio), Toshihiko Yamasaki (UTokyo) ITS2021-25 IE2021-34 |
Mental health conditions deeply impact all areas of the life. Too much stress, most of which is related to work performa... [more] |
ITS2021-25 IE2021-34 pp.1-6 |
ET |
2022-01-22 14:05 |
Online |
Online |
Development of a Roleplay Japanese Learning Support System that Allows Teachers to Edit Dialogue Situations Yudai Kamata, Yasuhiro Noguchi, Satoru Kogure (Shizuoka Univ.), Koichi Yamashita (Tokoha Univ.), Tatsuya Konishi, Makoto Kondo (Shizuoka Univ.) ET2021-48 |
In the early stages of language learning, roleplaying dialogue is considered to be effective for beginner, but it is dif... [more] |
ET2021-48 pp.31-36 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 09:25 |
Online |
Online |
Encouraging Elderly Self-Care by Integrating Speech Dialogue Agent and Wearable Device Hayato Ozono, Sinan Chen, Masaki Saga, Masahide Nakamura (Kobe Univ.) NLP2021-96 MICT2021-71 MBE2021-57 |
Currently, Japan has entered a super-aging society. We develop a listening service using a spoken dialogue agent as a sy... [more] |
NLP2021-96 MICT2021-71 MBE2021-57 pp.103-108 |
EA, US (Joint) |
2021-12-22 15:50 |
Kumamoto |
Sojo University |
[Poster Presentation]
A Dialogue System Based on Emotion Estimation Using Deep Learning Takumi Kawakami, Shinya Fukumoto, Masayuki Kashima, Mutsumi Watanabe (Kagoshima Univ.) EA2021-59 |
In recent years, intelligent robots have been attracting attention, and research on dialogue systems has been actively c... [more] |
EA2021-59 pp.13-17 |
SP, IPSJ-SLP, IPSJ-MUS |
2021-06-18 17:10 |
Online |
Online |
[Invited Talk]
Spoken Dialogue System for Android ERICA
-- A Multimodal Turing Test Challenge -- Koji Inoue (Kyoto Univ.) SP2021-7 |
One of the major goals for artificial intelligence research is to realize machines (or robots) that can talk like human ... [more] |
SP2021-7 p.37 |
HCS |
2021-03-15 15:40 |
Online |
Online |
Development of a Personalized Agent Dialogue Framework for End Users Sinan Chen, Sachio Saiki, Masahide Nakamura (Kobe Univ.) HCS2020-74 |
With the process of super-aging in the world, the number of people who need long-term care is increasing year by year. T... [more] |
HCS2020-74 pp.37-42 |
HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online |
Online |
Effects of agent's pre-recorded vs live speech on the appearance of listener's response tokens Yusuke Takamatsuya, Hiroki Mori (Utsunomiya Univ.) |
In human interaction, listeners continually produce vocal responses such as interjections, backchannels, and repetition.... [more] |
|
NLC |
2020-02-17 11:10 |
Tokyo |
Seikei University |
[Tutorial Invited Lecture]
BERT for dialogue systems Koh Mitsuda (NTT) NLC2019-43 |
Transfer learning, which is one of machine learning has been attracting attention in natural language processing. A gene... [more] |
NLC2019-43 p.37 |
CNR |
2019-08-29 09:30 |
Hokkaido |
|
Analysis of the effect of multiple conversational robots with gestures on user stress using salivary amylase activity measurement. Kota Maruyama, Junji Yamato (Kogakuin Univ.), Hiroaki Sugiyama (NTT) CNR2019-14 |
When conducting a human conversation, it is possible to know the person's state and attitude to some extent from not onl... [more] |
CNR2019-14 pp.13-17 |
HCS |
2019-08-23 16:15 |
Osaka |
Jikei Institute |
Estimating Exchange-level Annotations with Multitask Learning for Multimodal Dialogue Systems Yuki Hirano, Shogo Okada (JAIST), Haruto Nishimoto, Kazunori Komatani (Osaka Univ.) HCS2019-32 |
This study presents multimodal computational modeling
for estimating three labels: user's interest label, user's sentim... [more] |
HCS2019-32 pp.15-20 |
HCS |
2019-08-23 16:45 |
Osaka |
Jikei Institute |
Collection and Analysis of Human-System Multimodal Dialogue Data with Subjective Ratings Kazunori Komatani (Osaka Univ.), Shogo Okada (JAIST) HCS2019-33 |
Dialogue systems need to capture not only the verbal content that the user explicitly speaks but also the subtle behavio... [more] |
HCS2019-33 pp.21-26 |
HCGSYMPO (2nd) |
|
Mie |
Sinfonia Technology Hibiki Hall Ise |
An Semi-Automatic Dialogue System between an Operator and Multiple Users of an Empirical Study for Supporting Elderly People Yusuke Sakai, Yoshio Ishiguro (Nagoya Univ.), Akira Tamaori (Aichi Inst. of Tech.), Kei Hiroi, Nobuo Kawaguchi, Kazuya Takeda (Nagoya Univ.) |
We are conducting an empirical study for encouraging elderly people to be more active by interacting with them based on ... [more] |
|
NLC, IPSJ-DC |
2018-09-06 13:10 |
Tokyo |
Seikei University |
A Consideration on Analysis of Interaction Analysis Using Japanese Learner's Conversation Database and Analysis of Dialogue collapse
-- Toward detection of dialog crash and application to dialog system -- Hiromitsu Ota (OUJ) NLC2018-12 |
Recently, the introduction of chat bots to enterprises has become popular instead of human beings. However, although dee... [more] |
NLC2018-12 pp.19-24 |
NLC, IPSJ-ICS |
2018-07-06 16:20 |
Hokkaido |
Hokkaido University |
A long-term evaluation of a chat-oriented dialogue system that utilizes user information acquired through dialogue Yuiko Tsunomori (NTT DOCOMO), Ryuichiro Higashinaka (NTT), Takeshi Yoshimura (NTT DOCOMO) NLC2018-4 |
A chat-oriented dialogue system can be more attractive if it can remember information about users and use that informati... [more] |
NLC2018-4 pp.29-34 |
KBSE |
2018-05-25 13:10 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Topic Estimation from Dialogue Histories and its use in Dialogue System Sho Harigai, Shinya Sato (Nippon Inst. of Tech.) KBSE2018-2 |
(To be available after the conference date) [more] |
KBSE2018-2 pp.5-6 |
TL |
2018-03-19 17:15 |
Tokyo |
Waseda University |
Incongruity Evaluation of Utterance by Using RNNLM for Non-task-Oriented Dialogue System Shohei Fujikura, Hideaki Kikuchi (Waseda Univ.) TL2017-72 |
In this study, we aim to construct non-task-oriented dialogue system that can evaluate incongruity of a utterance to han... [more] |
TL2017-72 pp.75-79 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2017-12-21 09:45 |
Tokyo |
Waseda Univ. Green Computing Systems Research Organization |
[Poster Presentation]
A Study on the enhancement of system utterances for chat-oriented dialogue systems Yuiko Tsunomori (NTT DOCOMO), Ryuichiro Higashinaka (NTT), Takeshi Yoshimura, Yoshinori Isoda (NTT DOCOMO) NLC2017-40 |
Chat-oriented dialogue systems often use large databases of utterances harvested from the web. However, because the sent... [more] |
NLC2017-40 pp.65-70 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2017-12-21 09:45 |
Tokyo |
Waseda Univ. Green Computing Systems Research Organization |
[Poster Presentation]
A Dialogue System with Miscellaneous Knowledge from Sizzle Words Kazuya Niina, Kazutaka Shimada (KIT) NLC2017-42 |
One of car navigation system's functions is restaurant search. The current restaurant search is based on the premise tha... [more] |
NLC2017-42 pp.77-82 |
AI |
2017-11-24 14:45 |
Fukuoka |
|
Developing Music Recommendation System Considering Mood Information Based on Discourse with Interactive Agents Takumi Kakuda, Tadachika Ozono, Toramatsu Shintani (NIT) AI2017-14 |
Due to the spread of music distribution service, demand for music recommendation for enormous number of songs is increas... [more] |
AI2017-14 pp.43-48 |