Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online |
Online |
Objective Prediction of Social Skills Level for Automated Social Skills Training Using Multimodal Information Takeshi Saga, Hiroki Tanaka (NAIST), Hidemi Iwasaka (Nara Med. Univ.), Satoshi Nakamura (NAIST) |
Although Social Skills Training is a well-known effective method to obtain appropriate social skills during daily commun... [more] |
|
NLC |
2020-02-17 09:30 |
Tokyo |
Seikei University |
Group performance modeling using verbal and nonverbal information Go Miura, Shogo Okada (JAIST) NLC2019-40 |
This paper presented computational analysis for predicting the group performance which is defined by
"product dimension... [more] |
NLC2019-40 pp.21-26 |
IMQ |
2019-12-20 16:45 |
Tokyo |
|
Effect of Visual and Auditory Adaptation on Material Perception Takumi Nakamura, Kuangzhe Xu, Toshihiko Matsuka, Keita Hirai (Chiba Univ) IMQ2019-11 |
In this paper, we investigated the effects of visual and auditory adaptation on material perception. The target material... [more] |
IMQ2019-11 pp.9-13 |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-17 13:00 |
Okinawa |
Okinawa Institute of Science and Technology |
Reliability Assessment by Bayesian Deep Learning for Image-Caption Retrieval Task Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-1 |
Following the development of black-box machine learning algorithms, the practical demand of the re- liability assessment... [more] |
IBISML2019-1 pp.1-8 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Regularized Modal Regression via Iteratively Reweighted Least-Squares Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2018-88 |
In modal regression, iterative methods that are based on the modal EM (MEM) and those based on the iteratively reweighte... [more] |
IBISML2018-88 pp.329-335 |
IBISML |
2017-11-09 13:00 |
Tokyo |
Univ. of Tokyo |
Efficient modal regression using gradient ascent and descent method Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2017-57 |
Nonparametric modal regression is a method for regression analysis, which can estimate local maxima of the conditional p... [more] |
IBISML2017-57 pp.169-176 |
HCS |
2016-08-19 15:10 |
Kyoto |
|
Multimodal interaction in task-oriented collaboration
-- A case study of "Marshmallow challenge" -- Noriko Suzuki (Tezukayama Univ.), Haruka Shoda (Ritsumeikan Univ.), Noriko Ito, Kaori Inada, Mamiko Sakata (Doshisha Univ.) HCS2016-35 |
We report the analyses of multiparty collaboration in the “Marshmallow challenge” task, by examining the relationship am... [more] |
HCS2016-35 pp.25-28 |
PRMU, HIP |
2012-03-30 15:20 |
Hyogo |
|
Discrimination of Unknown Objects from Known Objects Using Multimodal Information Yuko Ozasa, Yasuo Ariki (Kobe Univ.), Naoto Iwahashi (NICT), Mikio Nakano (HRI-JP) PRMU2011-280 HIP2011-108 |
This paper presents a new method for detecting unknown objects and their unknown names in object
manipulation through m... [more] |
PRMU2011-280 HIP2011-108 pp.247-252 |
SP |
2011-06-23 16:00 |
Aichi |
Nagoya Univ. |
Model Adaptation using Audio-visual Interaction for Multi-modal Speech Recognition Masanao Oonishi, Satoshi Tamura, Satoru Hayamizu (Gifu Univ.) SP2011-33 |
This paper investigates a linear-regressive model adaptation method, i.e. MLLR (Maximum Likelihood Linear Regression), f... [more] |
SP2011-33 pp.17-22 |
HIP |
2009-12-18 12:05 |
Miyagi |
RIEC |
Selection and integration of pictorial and linguistic information in the determination of a sense of speed
-- Motion-line and onomatopoeia -- Kayo Miura (Kyushu Univ.), Shunsuke Uemura (Nissha Printing Co.,Ltd.) HIP2009-113 |
Motion lines are effective cue to represent the direction, trajectory, appearance and a sense of speed of motion of obje... [more] |
HIP2009-113 pp.97-101 |