OKADA Shogo

J-GLOBAL         Last updated: Nov 20, 2019 at 16:30
 
Avatar
Name
OKADA Shogo
Affiliation
Japan Advanced Institute of Science and Technology
Degree
B.S. from Yokohama National University (2003), M.S. from Tokyo Institute of Technology (2005), Ph.D from Tokyo Institute of Technology (2008)

Academic & Professional Experience

 
May 2017
 - 
Today
Associate Professor, School of Information Science, Japan Advanced Institute of Science and Technology
 
2008
   
 
Project Assistant Professor at Kyoto University
 
2011
   
 
Assistant Professor at Tokyo Institute of Technology
 
2014
   
 
Visting fuculty at IDIAP research institute
 

Awards & Honors

 
Oct 2019
Outstanding Reviewers, ACM International Conference on Multimodal Interaction(ICMI 2019)
Winner: Shogo Okada
 
Oct 2019
Task-independent Multimodal Prediction of Group Performance Based on Product Dimensions, Best Paper Runner-up Award, ACM International Conference on Multimodal Interaction
Winner: Go Miura (JAIST), Shogo Okada (JAIST)
 
Oct 2019
Multitask Prediction of Exchange-Level Annotations for Multimodal Dialogue Systems, Best Paper Runner-up Award, ACM International Conference on Multimodal Interaction(ICMI 2019)
Winner: Yuki Hirano (JAIST), Shogo Okada (JAIST), Haruto Nishimoto (Osaka University), Kazunori Komatani (Osaka University)  
 
Aug 2019
Multimodal BigFive Personality Trait Analysis using Communication Skill Indices and Multiple Discussion Types Dataset, Best paper award on Social Computing and Social Media, International Conference on Human-Computer Interaction(HCI International 2019)
Winner: Candy Olivia Mawalim, Shogo Okada, Yukiko I. Nakano and Masashi Unoki
 
Jun 2019
プロダクトディメンジョンを評価指標としたグループ対話のアウトプット推定, JSAI Annual Conference Award, Japanese Society for Artificial Intelligence
Winner: 三浦郷、岡田将吾
 

Published Papers

 
Sixia Li,Shogo Okada,Jianwu Dang
International Conference on Multimodal Interaction, ICMI 2019, Suzhou, China, October 14-18, 2019   426-434   2019   [Refereed]
Go Miura,Shogo Okada
International Conference on Multimodal Interaction, ICMI 2019, Suzhou, China, October 14-18, 2019   264-273   2019   [Refereed]
Masahiro Araki,Sayaka Tomimasu,Mikio Nakano,Kazunori Komatani,Shogo Okada,Shinya Fujie,Hiroaki Sugiyama
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018.      2018   [Refereed]
Yuki Hirano,Shogo Okada,Haruto Nishimoto,Kazunori Komatani
International Conference on Multimodal Interaction, ICMI 2019, Suzhou, China, October 14-18, 2019   85-94   2019   [Refereed]
Shogo Okada,Kazunori Komatani
Recent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Montreal, QC, Canada, June 25-28, 2018, Proceedings   148-157   2018   [Refereed]

Misc

 
MIURA Go, OKADA Shogo
Proceedings of the Annual Conference of JSAI   2019(0) 4F2OS11a04-4F2OS11a04   2019
<p>This paper focuses on developing a model for estimating the quality of discussion using multimodal features. For this purpose, we use a group meeting corpus including audio signal data of participants observed in 30 meeting sessions. Also, four...
YUTARO Yagi, SHOGO Okada, SHOTA Shiobara, SOTA Sugimura
Proceedings of the Annual Conference of JSAI   2019(0) 4F2OS11a02-4F2OS11a02   2019
<p>This paper focuses on developing a model for estimating presentation skills of each participant from multimodal (verbal and nonverbal) features. For this purpose, we use a multimodal presentation dataset including audio signal data and body mot...
Zhang Qi, Huang Hung-Hsuan, Kimura Seiya, Okada Shogo, Ohta Naoki, Kuwabara Kazuhiro
The Transactions of Human Interface Society   20(1) 31-44   2018
More and more companies are putting emphasis on communication skill in the recruitment of their employees and adopt group discussion as part of recruitment interview. In our ongoing project, we aim to develop a training system that can provide adv...
ISHIHARA Takuya, NAGASAWA Fuminori, OKADA Shogo, NITTA Katsumi
Proceedings of the Annual Conference of JSAI   2018(0) 4D1OS14c02-4D1OS14c02   2018
<p>本研究では,汎用的な重要箇所の推定を実現するために,複数のトピックを扱うインタビュー実験を行い,15セッションのデータセットを収集し,インタビュー対象者の発話意欲の高い重要箇所の推定モデルを構築・評価する. 特に,本研究では他者による発話意欲のアノテーションと,インタビュー当事者による自己アノテーションを用意して,その推定タスクにおける精度の差異と,有用な特徴量の比較を行う</p>
岡田 将吾, 松儀 良広, 中野 有紀子, 林 佑樹, 黄 宏軒, 高瀬 裕, 新田 克己
人工知能 : 人工知能学会誌 : journal of the Japanese Society for Artificial Intelligence   32(1) 8-19   Jan 2017

Teaching Experience

 
 

Social Contribution

 
ACM International Conference on Multimodal Interaction (ICMI 2016)
[]  Organizing CommitteeLocal Organization ChairShogo Okada (Tokyo Institute of Technology, Japan)  12 Nov 2016 - 16 Nov 2016