International Conferences (2025)

Nguyen, M., Hasegawa, S., & Sakti, S. (2025). Enhancing Unsupervised Acoustic Word Embedding with Visual-Grounded Speech Model and Novel Word-level ABX Evaluation Schemes, ICASSP 2025 (2025 in press).

L. Xaioting, G. Wen, P. Siritanawan, H. Shinobu, A PRELIMINARY STUDY ON USING SVM TO ANALYZE CHANGES IN TEACHER VOICE STYLES FOR KEY DURATION DETECTION IN LECTURE ARCHIVES, Proceedings of INTED 2025 (2025 in press).

International Conferences (2024)

Li, J., Inoue, N., Hasegawa, S., A Viewpoints Refinement Diff-table System For Cross-sectional Insight Surveys In a Research Task, The 38th Pacific Asia Conference on Language, Information and Computation (PACLIC 38), (2024 in press).

J. Li, P. Siritanawan, W. Gu and S. Hasegawa, "Multi-Agent Approach for Dynamic Research Insight Path Generation," 2024 IEEE International Conference on Agents (ICA), pp. 128-129, doi: 10.1109/ICA63002.2024.00035.

Sugita, K., Gu, W., Ota, K., Siritanawan, P., Hasegawa, S., A Proposal for a Quantitative Evaluation Model for Error Image Generation in L2 Vocabulary Learning, Conference Proceedings, 32nd International Conference on Computers in Education, Vol.2, pp. 734-737, (2024).

Sugita, K., Siritanawan, P., Ota, K., Gu, W., Hasegawa, S., L-VEIGe: A Proposal for Quantitative Evaluation Model and Database for Error Vocabulary Images, Proceedings of INCITEST 2024, (2024 in press).

Hardiyana, Bella, Bachtiar, A. M., Sugita, K., Effendi, D., Noviansyah, S., Siritanawan, P., Gu, W., Ota, K., Hasegawa S., Assessing the Effectiveness of Notebar, ConductorBot, and SubConductorBot Methods in Training Novice Angklung Players, Proceedings of INCITEST 2024, (2024 in press).

Riese, S. M., Ota, K., Gu, W., Hasegawa, S., Investigation of Correspondence between Learner Sensory Processing Sensitivity and Different Avatars in Online Lectures, Proceedings on IEEE SMC (2024 in press).

Li, J., Gu, W., Ota, K., Hasegawa, S., A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic, Proceedings on IEEE SMC (2024 in press).

J. Li, P. Huy, W. Gu, K. Ota and S. Hasegawa, "Hierarchical Tree-structured Knowledge Graph For Academic Insight Survey," 2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Craiova, Romania, 2024, pp. 1-7, doi: 10.1109/INISTA62901.2024.10683856.

Qin, S., Gu, W., Ota, K., Hasegawa, S., Advanced Learner Model for Error Collection: Using Japanese honorifics as an example, Roundtable session in The 22nd International Conference for Media in Education, 2024 (presentation only)

International Conferences (2023)

C. Zhu, W. Gu, K. Ota and S. Hasegawa, "ABMs in Game Approach for Physics Learning," 2023 IEEE International Conference on Agents (ICA), Kyoto, Japan, 2023, pp. 15-18, doi: 10.1109/ICA58824.2023.00012.

Peizhe Huang, Wanxiang Li, Weng Gu, Koichi Ota, Shinobu Hasegawa: A Skill Tracing Model for Player Character Control in STG, Proceedings of the 31st International Conference on Computers in Education, pp. 646-648, 2023.

Xiaoting Liu, Wen Gu, Koichi Ota, Shinobu Hasegawa: Design of Voice Style Detection of Lecture Archives, 2023 IEEE Region 10 Conference, pp.1138-1143, 2023.

Shinobu Hasegawa, Xiaoting Liu, Wen Gu, Koichi Ota: Concept and Initial Learning Log Analysis for Lecture Archive Summarization Platform, 2023 IEEE Region 10 Conference, pp.1023-1028, 2023.

Tianshu Xu, Wen Gu, Koichi Ota, Shinobu Hasegawa: A Low-Jitter Hand Tracking System for Improving Typing Efficiency in Virtual Reality Workspace, 2023 IEEE Region 10 Conference, pp.981-996, 2023.

Bella Hardiyana and Shinobu Hasegawa: Angklung Music Training with a Scoring System based on Online and Onsite Group, ASEAN Workshop on Information Science and Technology 2023 (presentation only)

L. Jinghong, O. Koichi, G. Wen and H. Shinobu, "A Text Block Refinement Framework For Text Classification and Object Recognition From Academic Articles," 2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA), 2023, pp. 1-6, doi: 10.1109/INISTA59065.2023.10310320.

Jinghong Li, Hatsuhiko Tanabe, Koichi Ota, Wen Gu, and Shinobu Hasegawa: Automatic Summarization for Academic Articles using Deep Learning and Reinforcement Learning with Viewpoints. The International FLAIRS Conference Proceedings, 36(1). https://doi.org/10.32473/flairs.36.133308

International Conferences (2022)

Shofiyati Nur Karimah, Shinobu Hasegawa: MeetmEE: Engagment Estimation based Online Meeting Room for Distance Learning, Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2022, pp.514-517, (2022)

Bowei Yao, Koichi Ota, Akihiro Kashihara, Teruhiko Unoki, Shinobu Hasegawa: Development of a Learning Companion Robot with Adaptive Engagement Enhancement, Proceedings of the 30th International Conference on Computers in Education, pp.111-117, (2022).

Xianwen Zheng, Tuan M. Tran, Koichi Ota, Teruhiko Unoki, Shinobu Hasegawa: Engagement Estimation using Time-series Facial and Body Features in an Unstable Dataset, Proceedings of the 30th International Conference on Computers in Education, pp.89-94, (2022).

Keisuke Nakagawa, Koichi Ota, Wen Gu, and Shinobu Hasegawa: Learning Style Analysis on an Online Course by Structural Equation Modeling, IIAI Letter on Informatics and Interdisciplinary Research, Vol. 003, LIIR063, (2022). https://doi.org/10.52731/liir.v003.063

Huy Phan, Shinobu Hasegawa and Wen Gu: Implementation of Automated Feedback System for Japanese Essays in Intermediate Education, IIAI Letter on Informatics and Interdisciplinary Research, Vol. 003, LIIR057, (2022). https://doi.org/10.52731/liir.v003.057

Shofiyati Nur Karimah and Shinobu Hasegawa: A Real-time Engagement Assessment for Learner in Asynchronous Distance Learning, IIAI Letter on Informatics and Interdisciplinary Research, Vol. 003, LIIR064, (2022). https://doi.org/10.52731/liir.v003.064

Kazuki Sugita, Wen Gu and Shinobu Hasegawa: Error-Driven Learning: Development of Vocabulary Learning Support System that Utilizes Suggestibility of Error by Image Generation, IIAI Letter on Informatics and Interdisciplinary Research, Vol. 003, LIIR078, (2022). https://doi.org/10.52731/liir.v003.078

Shubin Qin, Shinobu Hasegawa and Wen Gu: A Learner Model of Error Collection in Writing for Advance International Japanese Learner, Research Abstract of the 17th International Conference on Knowledge, Information and Creativity Support System, (2022, Presentation only).

Bella Hardiyana, Wen Gu and Shinobu Hasegawa: Design of Self-Training Angklung Music Scoring System for Normal and Deaf Students, Research Abstract of the 17th International Conference on Knowledge, Information and Creativity Support System, (2022, Presentation only).

Tuan M. Tran, Shinobu Hasegawa: Using Markov Chain on Online Learning History Data to Develop Learner Model for Measuring Strength of Learning Habits, Proceedings of the 19th International Conference on Cognition and Exploratory Learning in Digital Age, pp.335-338 (2022).

Bella Hardiyana, Shinobu Hasegawa: Design of Angklung Music Scoring System Based on Remote Training, Proceedings of the 5th International Conference on Informatics Engineering, Science & Technology, (2022 in press).

Yuhui Yang, Koichi Ota, Wen Gu, Shinobu Hasegawa: Automatic Region of Interest Prediction from Instructor’s Behaviors in Lecture Archives, 2022 14th International Conference on Knowledge and Systems Engineering (KSE), pp. 1-6, doi: 10.1109/KSE56063.2022.9953765. (2022).

Ruozhu Sheng, Koichi Ota, Shinobu Hasegawa: An Automatic Focal Period Detection Architecture for Lecture Archives. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol 13356. Springer, Cham. (2022) https://doi.org/10.1007/978-3-031-11647-6_71.

Tuan M. Tran, Razvan Beuran, Shinobu Hasegawa: Gamification-based cybersecurity awareness course for self-regulated learning, the 6th International Conference on Education and Distance Learning, (2022 in press).

International Conferences (2021)

S. Nur Karimah, T. Unoki and S. Hasegawa, "Implementation of Long Short-Term Memory (LSTM) Models for Engagement Estimation in Online Learning," 2021 IEEE International Conference on Engineering, Technology & Education (TALE), pp. 283-289, doi: 10.1109/TALE52509.2021.9678909 (2021).

Kang Ting and Shinobu Hasegawa, "Semantic-Awareness Recommendation with Linked Open Data in Web-Based Investigative Learning," 5th International Conference on Education and Distance Learning (2021).

Karimah, S.N., Hasegawa, S. Automatic Engagement Recognition for Distance Learning Systems: A Literature Study of Engagement Datasets and Methods. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Augmented Cognition. HCII 2021. Lecture Notes in Computer Science(), vol 12776. Springer, Cham. https://doi.org/10.1007/978-3-030-78114-9_19 (2021)

Zheng, X., Hasegawa, S., Tran, MT., Ota, K., Unoki, T. Estimation of Learners’ Engagement Using Face and Body Features by Transfer Learning. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2021. Lecture Notes in Computer Science(), vol 12797. Springer, Cham. https://doi.org/10.1007/978-3-030-77772-2_36 (2021)

Shinji KATO and Shinobu HASEGAWA: "Surveys for A Stakeholder-focused Model in VOD Learning," Proceedings of 9th Internatinal Conference on Information and Education Technology, pp.356-361, 2021.

International Conferences (2020)

Safinoor SAGORIKA & Shinobu HASEGAWA: Model of Video Aided Retention Tool for Enhancing Disaster Survival Skills on Earthquake among International Students, Proceedings of the 28th International Conference on Computers in Education, pp. 215-225, (2020).

Tianshu Xu and Shinobu Hasegawa: A Study on Virtual Reality Workspace to Improve Work Efficiency,Proceedings of The Thirteenth International Conference on Advances in Computer-Human Interactions (ACHI 2020), pp.304-309, (2020).

Win Shwe Sin Khine, Shinobu Hasegawa, Kazunori Kotani: Engagement Estimation for an ELearning Environment Application, Proceedings of The Thirteenth International Conference on Advances in Computer-Human Interactions (ACHI 2020), pp.1-6, (2020).

Shofiyati Nur Karimah & Shinobu Hasegawa: A Real-Time Engagement Assessment in Online Learning Process Using Convolutional Neural Network, The Asian Conference on Education 2020 Official Conference Proceedings, http://25qt511nswfi49iayd31ch80-wpengine.netdna-ssl.com/wp-content/uploads/papers/ace2020/ACE2020_59091.pdf (2020)

Minh-Tuan Tran, Shinobu Hasegawa: Self-Regulated Learning Recognition and Improvement Framework,The Asian Conference on Education 2020 Official Conference Proceedings, http://25qt511nswfi49iayd31ch80-wpengine.netdna-ssl.com/wp-content/uploads/papers/ace2020/ACE2020_59095.pdf (2020)

Shinobu Hasegawa, Atsushi Hirako, Xianwen Zheng, Shofiyati Nur Karimah, Koichi Ota, Teruhiko Unoki: "Learner’s Mental State Estimation with PC Built-in Camera," Learning and Collaboration Technologies. Human and Technology Ecosystems, HCII 2020. Lecture Notes in Computer Science, vo.12206, pp.165-175, (2020).

Safinoor Sagorika, Shungo Kawanishi, Shinobu Hasegawa: "Adopting Orphan Migrants in Japanese Elderly Care Services: A Diversified Model for Ishikawa Prefecture," Conference Proceedings on The 6th Asian Conference on Aging & Gerontology, pp.19-34, (2020).

Xianwen Zheng, Sinobu Hasegawa, Koichi Ota & Teruhiko Unoki: "Engagement Estimation using Facial and Body Information," The 3rd ASEAN Workshop on Information Science and Technology (AWIST2020), pp. 13, (2020)

Chunqi Du and Shinobu Hasegawa: "3DInFoGAN: 3D Models' Reconstruction in InFoGAN," The 3rd ASEAN Workshop on Information Science and Technology (AWIST2020), pp. 21, (2020)

International Conferences (2019)

Miki Hagiwara, Akihiro Kashihara, Shinobu Hasegawa, Koichi Ota, Ryo Takaoka: "Adaptive Recommendation for Question Decomposition in Web-based Investigative Learning", The 2019 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), pp.750-757, (2019)

Yoshiko Furusho, Atsushi Imanaka, Shinobu Hasegawa: "Investigation of Media as Teaching Material for Art Education," Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2019, P.554-558, (2019)

Yoshiki Sato, Akihiro Kashihara, Shinobu Hasegawa, Koichi Ota, Ryo Takaoka: Promoting Reflection on Question Decomposition in Web-based Investigative Learning, Proceedings of the 27th International Conference on Computers in Education. (ICCE), vol.Ⅰ, pp.75-80, (2019)

Safinoor Sagorika, Shinobu Hasegawa: "Video Aided Retention Tool for enhancing decision-making skills among HealthCare Professionals," Proceedings of International Open And Distance Learning Conference, pp.305-310, (2019)

Toichiro Susumago, Shinobu Hasegawa: "COMMUNICATION WITH LOW PERFORMER MAKES PROJECT SUCCESS IN PROJECT-BASED LEARNING," Proceedings of 10th International Conference on Education and Educational Psychology, pp.514-525, (2019)

M. T. Tran, & S. Hasegawa: "A Hypothetical Model toward Establishing a Relationship between Cognition and Metacognition in Technology-Enhanced Self-Regulated Learning," Proceedings of the 2019 International Conference on Frontiers in Education: Computer Science & Computer Engineering, pp.155-158, (2019)

Y. Sato, A. Kashihara, S. Hasegawa, K. Ota, R. Takaoka: "Diagnosis with Linked Open Data for Question Decomposition in Web-based Investigative Learning," Lecture Notes in Educational Technology. pp.103-112, (2019).

International Conferences (2018)

D. Wahyudin, S. Yoyo, H. Erik, and S. Hasegawa: "Students' perspective of Social Media Role in Technical and Vocational Education and Training (TVET)," 26TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE 2018), pp.512-517, (2018).

H. N. Ocharo and S. Hasegawa: "Adaptive Interface that Provides Modeling, Coaching and Fading to Improve Revision Skill in Academic Writing," HCI International 2018, Proceedings, Part II, pp.300-312, (2018).

International Conferences (2017)

Harriet Nyanchama Ocharo, Shinobu Hasegawa, Kiyoaki Shirai: Topic-based Revision Tool to Support Academic Writing Skill for Research Students, Proc. of The Tenth International Conference on Advances in Computer-Human Interactions (ACHI2017), pp.102-107, (2017)

Ashery Mbilinyi, Shinobu Hasegawa, Akihiro Kashihara: Estimation and Adaptation Method for Students’ Learning Styles on Web-based Learning Environment, Proc. of The Ninth International Conference on Mobile, Hybrid, and On-line Learning (eLmL2017), pp.1-4 (2017).

Carson Lee, Shinobu Hasegawa: Speech Shadowing Support System in Language Learning, Proc. of The Ninth International Conference on Mobile, Hybrid, and On-line Learning (eLmL2017), pp.51-54 (2017).

International Conferences (2016)

Kuswardhana, D. and Hasegawa, S. Model of Instructional Thematic Game to Improve Understanding of Children with Intellectual Deficiencies Using Voice Kinect Sensor. In proceedings of the 4th International conference on Technical and Vocational Education and Training (TVET). (2016).

Ashery Mbilinyi, Shinobu Hasegawa and Akihiro Kashihara: Design for Adaptiv User Interface for Modeling Students’ Learning Styles. Human Interface and the Management of Information. Applications and Services Volume 9735 of the series Lecture Notes in Computer Science, pp.168-177, (2016)

Harriet Nyanchama Ocharo and Shinobu Hasegawa: An Adaptive Research Support System for Students in Higher Education: Beyond Logging and Tracking. Human Interface and the Management of Information: Applications and Services, Volume 9735 of the series Lecture Notes in Computer Science, pp.178-186, (2016)

Dandhi Kuswardhana and Shinobu Hasegawa: A Conceptual Model of Instructional Thematic Game for Children with Intellectual Deficiencies. HCI International 2016 - Posters' Extended Abstracts (Part II). Communication in Computer and Information Science. Vol. 618, pp. 243-248, (2016).

International Conferences (2015)

Hangyu Li & Shinobu Hasegawa: Using Topic Maps Standards to Improve Note-Taking/Sharing in Video-on-Demand Based Self-directed Learning through Visualization. In Proceedings of the 23rd International Conference on Computers in Education (ICCE2015), pp.248-256, (2015).

Dandhi Kuswardhana & Shinobu Hasegawa: Animal Thematic Game Based on Kinect Sensor for Mental Retardation Rehabilitation. In Proceedings of the 23rd International Conference on Computers in Education (ICCE2015), pp.509-514, (2015).

Ashery Mbilinyi, & Shinobu Hasegawa:Design for Adaptive Web-based Learning System based on User's Learning Styles. In Proceedings of the 11th InternationalConference on Knowledge Management, pp.465-467, (2015).

Didin Wahyudin, & Shinobu Hasegawa: Learners’ Perspectives of the Mobile Serious Game for Training Inexperienced Disaster Responders. In Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2015, pp.1639-1646, (2015).

Sakiko Mizuno, Akihiro Kashihara, & Shinobu Hasegawa: A Guided Map for Reviewing Presentation Document in Rehearsal. In Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2015, pp.1150-1156, (2015).

Dandhi Kuswardhana, Nenden Nur'Aeni, Juhanaini, Shinobu Hasegawa: Improving Concentration Through Picture Selecting Game Based on Kinect Sensor for Student with Intellectual Deficiencies, 2015 International Conference on Information & Communication Technology and Systems (ICTS), pp.133-136, (2015).

Shinobu Hasegawa & Jiangning Dai: A Ubiquitous Lecture Archive Learning Platform with Note-centered Approach, Human Interface and the Management of Information. Information and Knowledge in Context Volume 9173 of the series Lecture Notes in Computer Science, pp.294-303, (2015).

Elsayed Ahmed, M. & Hasegawa, S.: A Proposed Model Combining Instructional Design and Software Engineering for Developing Virtual Learning Platforms. Proceedings of Global Learn 2015, pp.654-663, (2015).