Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CNR |
2021-09-21 14:30 |
Online |
Online |
A belief and desire inference system based on location information with Action Graph Aoto Tsuchiya, Yosuke Kawasaki, Yuta Watanabe, Natsuki Sato, Yosuke Fukuchi, Shoya Matsumori, Tomoyuki Maekawa, Masaki Takahashi, Michita Imai (Keio Univ.) CNR2021-4 |
(To be available after the conference date) [more] |
CNR2021-4 pp.1-6 |
PRMU, CNR |
2019-02-28 13:45 |
Tokushima |
|
Regret-based emotional modeling of an opponent in a game-playing agent Hector Dubuis, Michita Imai, Masahiko Osawa (Keio) PRMU2018-116 CNR2018-39 |
This paper aims at improving the quality of human-robot interaction by building a model of the user based on his emotion... [more] |
PRMU2018-116 CNR2018-39 pp.11-14 |
MoNA, IN, CNR (Joint) [detail] |
2018-11-15 12:50 |
Saga |
Karatsu Civic Exchange Plaza |
IN2018-53 MoNA2018-25 CNR2018-22 |
Google Street View (GSV) is an epoch-making system that allows viewing the landscape of the world to be realistic, but b... [more] |
IN2018-53 MoNA2018-25 CNR2018-22 pp.7-12(IN), pp.19-24(MoNA), pp.25-30(CNR) |
CNR |
2018-06-15 14:10 |
Tokyo |
|
Implementing shared attention behaviour in a query system with humanoid robot Quentin Plouviez, Taichi Sono, Michita Imai (Keio Univ.) CNR2018-9 |
[more] |
CNR2018-9 pp.43-46 |
CNR |
2018-06-15 14:40 |
Tokyo |
|
Using action recognition to boost an agent's interactivity
-- Virtual agent’s Presence and responsiveness in the real world -- Tarek Benhnini, Taichi Sono, Michita Imai (Keio Univ.) CNR2018-10 |
While most agents achieve naturalness while interacting with a user through speech recognition techniques alone, action... [more] |
CNR2018-10 pp.47-49 |
PRMU, CNR |
2018-02-20 09:30 |
Wakayama |
|
Estimating Interest of Autonomous Wheelchair User by Using Head Direction Input Kenji Yamada (Keio Univ.), Komei Hasegawa (Toyohashi Univ. of Tech.), Taichi Sono, Michita Imai (Keio Univ.) PRMU2017-162 CNR2017-40 |
In this paper, we propose WE-HI system that enable's wheelchair user to go near to a place where there is something inte... [more] |
PRMU2017-162 CNR2017-40 pp.97-102 |
PRMU, CNR |
2018-02-20 10:00 |
Wakayama |
|
PRMU2017-163 CNR2017-41 |
(To be available after the conference date) [more] |
PRMU2017-163 CNR2017-41 pp.103-108 |
CNR, IN, MoNA (Joint) [detail] |
2017-11-17 13:25 |
Fukuoka |
|
Ryo Kitagawa, Ryosuke Hasumoto, Michita Imai (Keio Univ.), Kazuhiro Nakadai (Honda Research Institute Japan) IN2017-44 CNR2017-21 |
[more] |
IN2017-44 CNR2017-21 pp.31-34 |
CNR |
2017-09-01 11:00 |
Hokkaido |
|
Shun Yoshioka, Komei Hasegawa, Takahiro Matsumoto (Keio Univ.), Tomoki Watabe (NTT), Michita Imai (Keio Univ.) CNR2017-10 |
In human-robot communication, turn-taking is one of the important aspects. Since it is hard to reduce speech collisions... [more] |
CNR2017-10 pp.7-11 |
CNR |
2017-06-16 10:00 |
Tokyo |
Panasonic Lab. Tokyo |
Determining Strategies behind Moves in the Game of Go Vincent Richard, Masahiko Osawa, Michita Imai (Keio Univ.) CNR2017-1 |
[more] |
CNR2017-1 pp.1-6 |
CNR |
2017-06-16 14:00 |
Tokyo |
Panasonic Lab. Tokyo |
Situation awareness based communication timing for real-time Human-Robot interaction Damien Constant, Komei Hasegawa, Michita Imai (Keio Univ.) CNR2017-6 |
[more] |
CNR2017-6 pp.29-34 |
CNR |
2017-06-16 17:00 |
Tokyo |
Panasonic Lab. Tokyo |
On Human-Robot Conversational Negotiations based on Adaptive Behavior Generation Miguel Gomez Lopez, Komei Hasegawa, Michita Imai (Keio Univ.) |
[more] |
|
PRMU, CNR |
2017-02-18 09:30 |
Hokkaido |
|
A Study on body movements and postures at Human-Robot Interaction using speech and image information Ryosuke Hasumoto, Daiki Koyama (Keio Univ.), Takeshi Mizumoto, Keisuke Nakamura, Kazuhiro Nakadai (Honda Research Institute Japan), Michita Imai (Keio Univ.) PRMU2016-155 CNR2016-22 |
(To be available after the conference date) [more] |
PRMU2016-155 CNR2016-22 pp.19-22 |
IN, MoNA, CNR (Joint) |
2016-11-18 09:25 |
Kagoshima |
Kirishima-kanko Hotel |
A Conception of Interaction Models Using Rodents Level Cognitive Architecture Masahiko Osawa, Michita Imai (Keio Univ.), Hiroshi Yamakawa (DWANGO) CNR2016-14 |
(To be available after the conference date) [more] |
CNR2016-14 pp.1-6 |
CNR |
2016-09-20 16:35 |
Tokyo |
Sanjo conference hall, The University of Tokyo |
A study of mimicking effect in improving human agent interaction Jianmei Feng, Daiki Koyama, koumei Hasegawa, Michita Imai (Keio Univ.) CNR2016-12 |
Human interactions is long perceived as a highly social interactional behavior which involves multimodality information ... [more] |
CNR2016-12 pp.27-28 |
CNR |
2016-06-19 15:45 |
Tokyo |
FabCafe Tokyo (1-22-7, Dogen-zaka, Shibuya, Tokyo) |
Effect of different interaction process with artifact on mental model Komei Hasegawa, Michita Imai (Keio Univ.) CNR2016-4 |
It is a grand challenge for designing interactive artifacts to reveal what mental model human has when he/she interacts ... [more] |
CNR2016-4 pp.17-20 |
PRMU, CNR |
2016-02-21 13:30 |
Fukuoka |
|
Pedestrian Analysis with Group Transformation Yohei Miyazaki, Michita Imai (Keio Univ.) PRMU2015-144 CNR2015-45 |
We propose a pedestrian analytical method for detecting group transformations by observing changes of comfortableness of... [more] |
PRMU2015-144 CNR2015-45 pp.69-74 |
CNR |
2015-12-18 15:15 |
Kanagawa |
|
Individual adaptation system using the trajectory correction by autonomous wheelchair Seigo Furuya, Komei Hasegawa, Michita Imai (Keio Univ.) CNR2015-30 |
We propose the system that enables a wheelchair to receive and learn fine adjustments from the joystick that a user cont... [more] |
CNR2015-30 pp.79-85 |
CNR |
2015-10-30 14:15 |
Nara |
|
Tabletop Actuation System Using Movable Magnet Motohiro Toyoda, Ryosuke Hasumoto, Masayasu Ogata, Michita Imai (Keio Univ.) CNR2015-10 |
[more] |
CNR2015-10 pp.19-22 |
CNR |
2015-10-30 14:40 |
Nara |
|
Verification of Usability on Shoulder Mounted Robot by showing Head Direction of Robot User Satoshi Watanabe, Yuki Yamamoto, Komei Hasegawa, Masa Ogata, Michita Imai (Keio Univ.) CNR2015-11 |
Telepresence systems using robots transfers controller’s physical presence to remote environment, no matter how far they... [more] |
CNR2015-11 pp.23-27 |