下川原 英理
氏名 下川原 英理シモカワラ エリ / SHIMOKAWARA Eri
職位 准教授
所属 情報科学科
情報科学域
2017年度以前の所属
情報通信システムコース
情報通信システム学域
年報 2023202220212020201920182017201620152014201320122011201020092008
研究紹介

状況を考慮した人の意図理解による人とロボットのインタラクションに関する研究

専門・研究分野 知能情報処理,知的エージェント,ヒューマン・コンピュータ・インタラクション
最終学歴・学位 東京都立科学技術大学大学院システム基礎工学専攻博士後期課程(2007年3月修了),博士(工学)
研究テーマ 環境を考慮した人とシステムのインタラクション,状況依存マルチモーダルインタラクション
研究キーワード 知的エージェント,知能情報処理によるインタラクション,行動認識・ジェスチャ認識,ヒューマン・ロボット・インタラクション,ソーシャルロボティクス
研究業績・著書・論文、その他それに準じる業績 論文誌
[1] Y. Liu, J. Li, D. Cui, and E. Sato-Shimokawara, “Multi-Modal Emotion Classification in Virtual Reality Using Reinforced Self-Training,” J. Adv. Comput. Intell. Intell. Inform., Vol.27 No.5, pp. 967-975, 2023. doi: 10.20965/jaciii.2023.p0967

[2] Kurnianingsih, Anindya Wirasatriya, Lutfan Lazuardi, Adi Wibowo, Nurseno Bayu Aji, Beno Kunto Pradekso, Sigit Prasetyo, Eri Sato-Shimokawara, "Transformer-based Deep Learning for COVID-19 Prediction Based on Climate Variables in Indonesia", International Journal on Advanced Science, Engineering and Information Technology, Vol. 13 (2023) No. 2, pp.632-637, DOI:10.18517/ijaseit.13.2.18292

[3] 山口 翔大, 下川原(佐藤) 英理, 山口 亨, 読唇者の評価に基づく口唇の動きの解析, 知能と情報, 2023, 35 巻, 1 号, p. 547-551, 公開日 2023/02/15, Online ISSN 1881-7203, Print ISSN 1347-7986, doi: 10.3156/jsoft.35.1_547

[4] Dewen Cui, Matsufuji Akihiro, Liu Yi, Eri Sato- Shimokawa, and Toru Yamaguchi. "Estimation of Confidence in the Dialogue Based on Eye Gaze and Head Movement Information," EMITTER International Journal of Engineering Technology vol. 10, no. 2, pp. 338-350, December 30, 2022. doi: 10.24003/emitter.v10i2.756

[5] Tzong-Xiang HUANG, Hiroto ISHI, Eri SATO-SHIMOKAWARA, Toru YAMAGUCHI, Observation of Robots with Different Expressions on Education Application Towards Entrainment Robots, 知能と情報, 2022, 34 巻, 1 号, p. 522-526, https://doi.org/10.3156/jsoft.34.1_522

[6] 下川原(佐藤) 英理, 関野 遥香, 李 有てい, 黒田 知士, 山口 亨, ロボットのジェスチャー表現が行動受諾に与える影響, 知能と情報, 2022, 34 巻, 1 号, p. 527-532 https://doi.org/10.3156/jsoft.34.1_527

[7] Youdi LI, Eri SATO-SHIMOKAWARA, Toru YAMAGUCHI, Investigation of Perception Towards Robot Expressions Considering Attitude and Personality, 知能と情報, 2021, 33 巻, 4 号, p. 777-786 DOI:10.3156/jsoft.33.4_777

[8] A. Matsufuji, E. Sato-Shimokawara, and T. Yamaguchi, "Adaptive Personalized Multiple Machine Learning Architecture for Estimating Human Emotional States," J. Adv. Comput. Intell. Intell. Inform., Vol.24, No.5, pp. 668-675, 2020 doi: 10.20965/jaciii.2020.p0668

[9] Wei Fen Hsieh, Eri Sato-Shimokawara, and Toru Yamaguchi, "Impression Preference Tendency between A Cute Robot and A Cool Robot", 知能と情報, 2020 年 32 巻 2, pp.686-690, doi.org/10.3156/jsoft.32.2_686

[10] W. Hsieh, E. Sato-Shimokawara, and T. Yamaguchi, "Investigation of Robot Expression Style in Human-Robot Interaction," J. Robot. Mechatron., Vol.32, No.1, pp. 224-235, 2020 DOI: 10.20965/jrm.2020.p0224

[11] Y. Li, W. Hsieh, E. Sato-Shimokawara, and T. Yamaguchi, "Expression and Identification of Confidence Based on Individual Verbal and Non-Verbal Features in Human-Robot Interaction," J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.6, pp. 1089-1097, 2019.doi: 10.20965/jaciii.2019.p1089

[12] 五味 怜央奈, 相澤 秀和, 下川原(佐藤) 英理, 山口 亨, 対話支援システムによる話題提示に向けた心拍変動の周波数解析, 知能と情報, 2019, 31 巻, 5 号, p. 859-865, 公開日 2019/10/15, Online ISSN 1881-7203, Print ISSN 1347-7986, DOI:10.3156/jsoft.31.5_859Akihiro Matsufuji, Wei-Fen Hsieh, Eri Sato-Shimokawara and Toru Yamaguchi,"A System of Associated Intelligent Integration for Human State Estimation", Journal of Mechanics Engineering and Automation Vol.9, No.3, pp.92-99, DOI:10.17265/2159-5275/2019.03.003

[13] 五味 怜央奈, 岩崎 真也, 下川原 英理, 山口 亨, 対話を円滑にするための頭部動作を伝達するテレプレゼンスロボット, 知能と情報, 2018, 30 巻, 4 号, p. 623-627, 公開日 2018/08/15, Online ISSN 1881-7203, Print ISSN 1347-7986, doi.org/10.3156/jsoft.30.4_623




国際会議(すべて査読あり)(2023年9月現在)
[1] Saito, T., Sato-Shimokawara, E. (2023). Music Recommender System Considering the Variations in Music Selection Criterion Using an Interactive Genetic Algorithm. In: Saeed, K., Dvorský, J., Nishiuchi, N., Fukumoto, M. (eds) Computer Information Systems and Industrial Management. CISIM 2023. Lecture Notes in Computer Science, vol 14164. Springer, Cham. https://doi.org/10.1007/978-3-031-42823-4_28

[2] Ruka Eto, Eri Sato-Shimokawara, "Analysis and Recognition of Confidence Level Based on Eye Gaze and Head Movement Towards Human-robot Co-learning" the International Conference on Machine Learning and Cybernetics (ICMLC), 9-11 July, 2023

[3] Youdi LI, Yasufumi TAKAMA, Eri SATO-SHIMOKAWARA, and Toru YAMAGUCHI, "Trust Towards the Robot with the Presence and Absence of Confidence", The 10th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2022), 8 pages, Sep. 23-Sep. 25, 2022

[4] Yi Liu, Eri Sato-shimokawara, and Toru Yamaguchi, "Sensor Fusion-based Emotion Classification In Virtual Reality Using Machine Learning", The 2022 RISP International Workshop on Nonlinear Circuits, Communicaions and Signal Processing (NCSP'22), pp.305-308, Feb. 28 - Mar. 1, 2022

[5] Akihiro Matsufuji, Eri Sato-Shimokawara, Toru Yamaguchi, Lieu-Hen Chen, "Dynamically Weighted Ensemble Models Based on the Behavioral Similarity Towards Sentiment Estimation," The 7th international workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII2021) 4pages, Oct.31-Nov.3, 2021

[6] Y. Li, E. Sato-Shimokawara and T. Yamaguchi, "The Influence of Robot's Unexpected Behavior on Individual Cognitive Performance," 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), 2021, pp. 1103-1109, Aug. 2021, doi: 10.1109/RO-MAN50785.2021.9515317.

[7] Youdi LI, Eri SATO-SHIMOKAWARA, and Toru YAMAGUCHI, "Investigation of Relationship Between Robot Expressions and Human Perception Considering Negative and Anxiety Scale", The 9th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2020), 1A2-3-5, 7 pages, 2020 November

[8] Akihiro MATSUFUJI, Erina KASANO, Eri SATO-SHIMOKAWARA, and Toru YAMAGUCHI, "An Incremental Multi-Model Learning Architecture for Emotion Recognition", The 9th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2020), 1A2-3-1, 7 pages, 2020 November

[9] Shuyu Tang, Shodai Aoyagi, Yihsin Ho, Eri Sato-Shimokawara, Toru Yamaguchi, "Wearable Sensor Data Visualization based on CNN towards Healthcare Promotion," 2020 International Symposium on Community-centric Systems (CcS), Hachioji, Tokyo, Japan, 2020, pp. 1-5, doi: 10.1109/CcS49175.2020.9231517, 2020 September

[10] Chang-Shing Lee, Mei-Hui Wang, Wen-Kai Kuan, Zong-Han Ciou, Yi-Lin Tsai, Wei-Shan Chang,
Lian-Chao Li, Naoyuki Kubota, Tzong-Xiang Huang, Eri Sato-Shimokawara, Toru Yamaguchi, "A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction," 2020 International Symposium on Community-centric Systems (CcS), Hachioji, Tokyo, Japan, 2020, pp. 1-6, doi: 10.1109/CcS49175.2020.9231339., 2020 September

[11] Tzong-Xiang Huang, Hiroto Ishi, Eri Sato-Shimokawara, Torn Yamasuchi, "Analysis of Relation between Brainwave and Heart Rate Information towards Entrainment Robot Assistance," 2020 International Symposium on Community-centric Systems (CcS), Hachioji, Tokyo, Japan, 2020, pp. 1-5, doi: 10.1109/CcS49175.2020.9231392, 2020 September

[12] Hiroto Ishi, Akihiro Matsufuji, Eri Sato-Shimokawara, Toru Yamaguchi, "Relation of Heart Rate and a Human-interest Listening an Article for Supporting Continuous Conversation," 2020 International Symposium on Community-centric Systems (CcS), Hachioji, Tokyo, Japan, 2020, pp. 1-5, doi: 10.1109/CcS49175.2020.9231493, 2020 September

[13] A. Matsufuji, H. Sekino, E. Sato-Shimokawara and T. Yamaguchi, "A Calculation Method of the Similarity Between Trained Model and New Sample by using Gaussian Distribution," 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, pp. 1-6, doi: 10.1109/IJCNN48605.2020.9206945, 2020 July

[14] Haruka Sekino, Erina Kasano, Wei-Fen Hsieh, Eri Sato-Shimokawara, and Toru Yamaguchi, "Robot Behavior Design Expressing Confidence/Unconfidence based on Human Behavior Analysis", 2020 17th International Conference on Ubiquitous Robots (UR), pp.278-283, DOI:10.1109/UR49135.2020.9144862
受 賞
主な学会活動 IEEE(米国電気電子学会),電子情報通信学会,情報処理学会,電気学会, 日本知能情報ファジィ学会
社会等との関わり
個人のURL https://eri.cpark.tmu.ac.jp/eri/ja/index.html
担当科目
  • 情報科学概論2
  • 情報数学Ⅰ(CS)
  • 人工知能
  • 知的エージェント
  • 情報数学Ⅰ(EECS)
  • 情報通信数学第一
  • 知的ネットワークシステム
  • 知能情報処理
  • 情報科学入門
オフィスアワー
研究室 1号館223室、2号館601号室
内線番号 8649
メールアドレス メールアドレス
(メールを送信される場合は●を@に変換してください)
研究室サイト等 https://eri.cpark.tmu.ac.jp/eri/ja/index.html