Invited talk and tutorial

  1. 岡田 将吾， 「あなたは対話を楽しんでいますか？」－対話における内面状態推定の課題と展望－, 人工知能学会 言語・音声理解と対話処理研究会（SLUD）第95回研究会　(2023.9) [招待講演] [発表スライド ]
  2. Shrikanth Narayanan, Jianhua Tao, Shogo Okada, Lun-Wei Ku, Yingping Yang, Chi-Chun Lee (Jeremy) “Future of Affective Computing” , APSIPA U.S. Local Chapter (2021.10) [Invited Panelist]
  3. 岡田 将吾，社会的コミュニケーション能力の推定技術の現状と課題, 人工知能学会全国大会2021　（企画セッション:社会感情的インタラクションの測定，訓練，療育方法）　(2021.6) [招待講演] [発表スライド ]
  4. 岡田 将吾，社会的信号処理の基礎と応用, IEICE HCS 研究会　(2019.8) [チュートリアル講演] [発表スライド ]
  5. Ronald Poppe, Alice O' Toole, LP Morency, Michel Valstar, and Shogo Okada, "Where is the 'social' in face and gesture research? From individual behaviour to dyadic, multi-party and crowd analysis", IEEE International Conference on Automatic Face and Gesture Recognition (FG2017), (2017.6) [Invited Panelist]

Journal paper (peer reviewed)

  1. Fuminori Nagasawa, Shogo Okada, Takuya Ishihara, Katsumi Nitta, Adaptive Interview Strategy Based on Interviewees’ Speaking Willingness Recognition for Interview Robots, IEEE Transactions on Affective Computing 15(3) 942-957 2024年7月, [pdf]
  2. Tamotsu Miyama, Shogo Okada, A multimodal dialogue system for customer service based on user personality adaptation and dialogue strategies, Advanced Robotics, 2024, [pdf]
  3. Yuning Liu, Di Zhou, Aijun Li, Jianwu Dang, Shogo Okada, Masashi Unoki, Investigation of Social Factor in Conversational Entrainments, IEEE Access 2024年, [pdf]
  4. Khalid Zaman, Islam J. A. M. Samiul, Melike Sah, Cem Direkoglu, Shogo Okada, Masashi Unoki, Hybrid Transformer Architectures With Diverse Audio Features for Deepfake Speech Classification, IEEE Access 2024年, [pdf]
  5. Bimasena Putra, Kurniawati Azizah, Candy Olivia Mawalim, Ikhlasul Akmal Hanif, Sakriani Sakti, Chee Wee Leong, Shogo Okada, MAG-BERT-ARL for Fair Automated Video Interview Assessment, IEEE Access 2024年, [pdf]
  6. Yoshitomo Saiki, Tamon Kabata, Yoshitomo Kajino, Shogo Okada, Junya Yoshitani, Satoru Demura, Artificial Intelligence-Based Surgery Support Model Using Intraoperative Radiographs for Assessing the Acetabular Component Angle, Journal of Arthroplasty 2024年, [pdf]
  7. Zhongjie Li, Gaoyan Zhang, Shogo Okada, Longbiao Wang, Bin Zhao, Jianwu Dang, MBCFNet: A Multimodal Brain-Computer Fusion Network for human intention recognition, Knowl. Based Syst. 296 111826-111826 2024年, [pdf]
  8. Yuan Gao, Longbiao Wang, Jiaxing Liu, Jianwu Dang, Shogo Okada, Adversarial Domain Generalized Transformer for Cross-Corpus Speech Emotion Recognition, IEEE Transactions on Affective Computing 15(2) 697-708 2024年, [pdf]
  9. Candy Olivia Mawalim, Benita Angela Titalim, Shogo Okada, Masashi Unoki, Non-intrusive speech intelligibility prediction using an auditory periphery model with hearing loss, Applied Acoustics, Volume 214, 2023, 109663, ISSN 0003-682X, [pdf]
  10. Ryusei Kimura, Takahiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori, and Shogo Okada. Estimating Driver Personality Traits from On-Road Driving Data, IEEE Access (2023). [pdf]
  11. Su Shwe Yi Tun, Shogo Okada, Hung-Hsuan Huang, and Chee Wee Leo. Multimodal Transfer Learning for Oral Presentation Assessment, IEEE Access (2023). [pdf]
  12. Takato Hayashi, Candy Olivia Mawalim, Ryo Ishii, Akira Morikawa, Atsushi Fukayama, Takao Nakamura, Shogo Okada. A Ranking Model for Evaluation of Conversation Partners Based on Rapport Levels, IEEE Access (2023). [pdf]
  13. Mawalim, C.O., Okada, S., Nakano, Y.I. et al. Personality trait estimation in group discussions using multimodal analysis and speaker embedding. Journal on Multimodal User Interfaces (2023).
  14. Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada. IDPS signature classification based on active learning with partial supervision from network security experts, IEEE Access, 10: 105713-105725 (2022). [pdf]
  15. Sixia Li, Shogo Okada, Jianwu Dang. Intrinsic Representation Mining for Zero-shot Slot Filling, IEICE Transactions, Vol.E105-D, No.11 (2022).
  16. Yoshitomo Saiki, Tamon Kabata, Tomohiro Ojima, Shogo Okada, Seigaku Hayashi, Hiroyuki Tsuchiya. Machine Learning Algorithm to Predict Worsening of Flexion Range of Motion After Total Knee Arthroplasty, Arthroplasty Today, Volume 17, pp 66-73 (2022).
  17. Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang. Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition, IEEE MultiMedia,vol. 29, no. 3, pp. 91-100, 1 (2022).
  18. Akira Minamisawa, Shogo Okada, Ken Inoue, Mami Noguchi. Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors, IEEE Access, 10: 38931-38943 (2022). [pdf]
  19. Shun Katada, Shogo Okada, Kazunori Komatani. Effects of Physiological Signals in Different Types of Multimodal Sentiment Estimation, IEEE Transactions on Affective Computing (Accepted, 2022). [pdf]
  20. Shun Katada, Shogo Okada. Biosignal-based User-Independent Recognition of Emotion and Personality with Importance Weighting", Springer, Multimedia Tools and Applications 81(21): 30219-30241 (2022).
  21. 川口 英俊，中谷裕一，岡田将吾: 専門家の知見に基づいた特徴量設計によるIDPSシグネチャ重要度分類,情報処理学会論文誌62巻9号, 2021, pp-1575-1585.
  22. Candy Olivia Mawalim, Shogo Okada,Yukiko I. Nakano: Task-Independent Recognition of Communication Skills in Group Interaction Using Time-Series Modeling. ACM Transactions on. Multimedia Computing, Communications, and Applications (TOMM) 17(4): 122:1-122:27.[pdf]
  23. Yutaro Yagi, Shogo Okada, Shota Shiobara, Sotaro Sugimura, Predicting multimodal presentation skills based on instance weighting domain adaptation, Journal on Multimodal User Interfaces, 1-16 (2021). [pdf]
  24. 平野裕貴， 岡田将吾， 西本遥人， 駒谷和範: マルチタスク学習による発話対ごとに付与された複数ラベルの推定, 電子情報通信学会論文誌 A 104 (2), 84-94 (2020).[pdf]
  25. Shogo Okada, Laurent Son Nguyen, Oya Aran,Daniel Gatica-Perez: Modeling Dyadic and Group Impressions with Intermodal and Interperson Features. ACM Transactions on. Multimedia Computing, Communications, and Applications (TOMM) 15(1s): 13:1-13:30 (2019).[pdf]
  26. 張 琪，黄 宏軒，岡田 将吾，木村 清也，大田 直樹，桑原 和宏, グループディスカッション参加者の機能的役割とその変遷の分析コミュニケーション能力の向上支援に向けて， インターフェイス学会論文誌，2018 年 20 巻 1 号 p. 31-44
  27. Youwei Lu, Shogo Okada, Katsumi Nitta, Modeling Content Structures of Domain-specific Texts with RUP-HDP-HSMM and Its Applications, IEICE Transactions, Vol.E100-D,No.9, pp.- (2017).[pdf]
  28. 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, マルチモーダル情報に基づくグループ会話におけるコミュニケーション能力の推定, 人工知能学会論文誌, Vol31，No.6, AI30-E, [人工知能学会創立30周年記念特集論文最優秀賞][pdf]
  29. Shogo Okada, Mi Hang, Katsumi Nitta，Predicting performance of collaborative storytelling using multimodal analysis, IEICE Transactions, Vol.E99-D No.6 pp.1462-1473 (2016).[pdf]
  30. 岡田将吾，坊農真弓，高梨克也，角康之，新田克己， 非言語マルチ モーダル情報を利用したグループ対話におけるジェスチャの機能認識, 電子情報通信学会論文誌, Vol.J98-A,No.1(2015)[pdf]
  31. 宮崎勝, 藤沢寛, 中川俊夫, 岡田将吾，新田克己， ソーシャル機能を持つビデオ・オン・デマンドサービスにおけるユーザの視聴・コミュニケーション行動間の関係分析, 人工知能学会論文誌, Vol.30, No.2, pp.429-439 (2015).
  32. 田村理乃， 岡田将吾，西垣貴央，新田克己,　力覚つきテキストコミュニケーションシステム“HAPPicom”の提案と評価，人工知能学会論文誌 第30巻2号 (2015).
  33. 片桐恭弘，石崎雅人，伝康晴，高梨克也，榎本美香，岡田将吾， 対話コミュニケーションによる相互信頼感形成の共関心モデル，「認知科学」22巻1号　(2015).
  34. 林佑樹，二瓶芙巳雄，中野有紀子，黄宏軒，岡田将吾， グループディスカッションコーパスの構築および性格特性との関連性の分析 情報処理学会論文誌，Vol,56,No.2　(2015).
  35. Meng Chen, Shogo Okada, and Katsumi Nitta, Evaluation of Haptic Interaction in Intercultural Online Negotiation, Journal of Advanced Computational Intelligence and Intelligent Informatics，Vol.17 No.6, pp.779-790　 (2013).
  36. 岡田将吾，坊農真弓，角康之，高梨克也，会話インタラクションにおけるジェスチャの量的分析を支援する時系列データマイニング手法の開発，社会言語科学，Vol.15, no. 1, pp.38-56，(2012).
  37. Yong Xu, Yoshimasa Ohmoto, Shogo Okada, Kazuhiro Ueda Takanori Komatsu, Takeshi　Okadome, Koji Kamei, Yasuyuki Sumi, Toyoaki Nishida, Formation Conditions of Mutual Adaptation in Human-Agent Collaborative Interaction, Applied Intelligence 36(1): pp.208-228, (2012).
  38. Yong Xu, Yoshimasa Ohmoto, , Kazuhiro Ueda Takanori Komatsu, Takeshi　Okadome, Koji Kamei, Shogo Okada, Yasuyuki Sumi, Toyoaki Nishida, Active Adaption in Human-Agent Collaborative Interaction, Journal of Intelligent Information Systems　37 (1): pp. 23-38, (2011).
  39. Shogo Okada, Yoichi Kobayashi, Satoshi Ishibashi, Toyoaki Nishida, Incremental Learning of Gestures for Human-Robot Interaction, Springer Journal of AI & Society, Vol. 25, Num. 2 , pp.155-168, (2010).
  40. 岡田将吾，西田豊明，自己増殖型ニューラルネットワークを用いた時系列データの追加学習型クラスタリング，日本神経回路学会論文誌, Vol.17,No.4, 174-186, 2010.
  41. 岡田将吾, 長谷川修, 自己増殖型ニューラルネットワークを用いた時系列データの学習・認識“,電子情報通信学会論文誌　Vol.J91-D,No.4, pp.1042-1057，2008.
  42. 岡田将吾, 賀小淵, 小島量, 長谷川修: ，“自己増殖型ニューラルネットワークを用いたヒューマノイドロボットの発達的言語獲得,人工知能学会論文誌， Vol. 22，No. 5，pp. 493-507 , 2007.
  43. 岡田将吾，伊藤芳子，長谷川修，包摂アーキテクチャ上のパラメータ探索を用いた群ロボットによる適応的行動生成,人工知能学会論文誌 Vol. 22， No. 3, pp.276-290, 2007.
  44. Shogo Okada and Osamu Hasegawa, Incremental Learning, Recognition，and Generation of Time-Series Patterns Based on Self-Organizing Segmentation ,Journal of Advanced Computational Intelligence and Intelligent Informatics，Vol.10，No.3, (2006).

Book Chapters (peer reviewed)

  1. Yasushi Amari, Shogo Okada, Maiko Matsumoto, Kugatsu Sadamitsu, Atsushi Nakamoto. Multimodal Analysis of Client Persuasion in Consulting Interactions: Toward Understanding Successful Consulting, SCSM 2021. LNCS , vol 12775.
  2. Su Shwe Yi Tun, Shogo Okada, Hung-Hsuan Huang, Chee Wee Leong. Analysis of Modality-Based Presentation Skills Using Sequential Models, SCSM 2021. LNCS , vol 12775.
  3. Ryo Kimura, Shogo Okada. Personality Trait Classification Based on Co-occurrence Pattern Modeling with Convolutional Neural Network. Social Computing and Social Media. SCSM 2020. LNCS, vol 12427.
  4. Candy Olivia Mawalim, Shogo Okada, Yukiko I. Nakano, Masashi Unoki. Multimodal BigFive Personality Trait Analysis Using Communication Skill Indices and Multiple Discussion Types Dataset. Social Computing and Social Media. SCSM 2019. LNCS, vol 11578.
  5. Shogo Okada, Akihiro Matsuda, Katsumi Nitta. Multimodal Negative-Attitude Recognition Toward Automatic Conflict-Scene Detection in Negotiation Dialog. Social Computing and Social Media. SCSM 2018. LNCS, vol 10914.
  6. Shogo Okada and Kazunori Komatani "Investigating Effectiveness of Linguistic Features Based on Speech Recognition for Storytelling Skill Assessment" , LNCS,Volume 10868, 2018
  7. Yuki Katsura, Kei Nishina, Shogo Okada and Katsumi Nitta "Argumentation Support Tool with Reliability-Based Argumentation Framework" LNCS,Volume **, 2016, "
  8. Youwei Lu, Shogo Okada, Katsumi Nitta "Semi-supervised Latent Dirichlet Allocation for Multi-label Text Classification LNCS, Volume 7906, 2013, pp 351-360 "
  9. Masaki Sugimoto, Takahiro Ueda, Shogo Okada, Yukio Ohsawa, Yoshiharu Maeno and Katsumi Nitta" Discussion Analysis Using Temporal Data Crystallization, LNCS,Volume 7856, 2013, pp 205-216 "
  10. Takanori Sato, Shogo Okada, Katsumi Nitta"Deliberation Process Support System for Citizen Judge Trial Based on Structure of Factors LNCS, Volume 7258, 2012, pp 155-169 "
  11. Shogo Okada, Satoshi Ishibashi, Toyoaki Nishida"On-Line Unsupervised Segmentation for Multidimensional Time-Series Data and Application to Spatiotemporal Gesture data, Trends in LNCS, Volume 6096, 2010, pp 337-347 "
  12. Shogo Okada, Osamu Hasegawa, Toyoaki Nishida "Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network LNCS Volume 6354, 2010, "
  13. Shogo Okada, Toyoaki Nishida" Multi Class Semi-Supervised Classification with Graph Construction Based on Adaptive Metric Learning LNCS, Volume 6353, 2010, pp 468-478 "
  14. Yong Xu, Yoshimasa Ohmoto, Kazuhiro Ueda, Takanori Komatsu, Takeshi Okadome, Koji Kamei, Shogo Okada, Yasuyuki Sumi, Toyoaki Nishida" Actively Adaptive Agent for Human-Agent Collaborative Task LNCS Volume 5820, 2009, pp 19-30 "
  15. Yong Xu, Yoshimasa Ohmoto, Kazuhiro Ueda, Takanori Komatsu, Takeshi Okadome, Koji Kamei, Shogo Okada, Yasuyuki Sumi, Toyoaki Nishida" A Platform System for Developing a Collaborative Mutually Adaptive Agent LNCS , Volume 5579, 2009, pp 576-585 "
  16. Shogo Okada, Osamu Hasegawa" Classification of Temporal Data Based on Self-organizing Incremental Neural Network, Artificial Neural Networks LNCS, Volume 4669, 2007, pp 465-475

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