Taisuke KawamataAssistant Professor

■Researcher basic information

Organization

  • Institution for Information Management and Strategy

Research Areas

  • Humanities & social sciences, Educational technology, Examinee Authentication for e-Testing
  • Informatics, Intelligent informatics, Recurrent Neural Network
  • Informatics, Web and service informatics, Video On Demand

Research Keyword

  • Image processing
  • Facial recognition
  • Writer verification
  • Online exam
  • Educational Technology
  • e-Learning
  • Text mining
  • Biometrics
  • Machine Learning

SDGs related to your own research

Degree

  • 2020年03月　博士（工学）（東京理科大学）
  • 2017年03月　修士（工学）（東京理科大学）

Educational Background

  • Apr. 2017 - Mar. 2020, Tokyo University of Science, Graduate School of Engineering, Department of Management Science
  • Apr. 2015 - Mar. 2017, Tokyo University of Science, Graduate School of Engineering, Department of Management Science
  • Apr. 2010 - Mar. 2015, Tokyo University of Science, Faculty of Engineering Division 2, Management Science
  • Apr. 2006 - Mar. 2009, 茨城県立鉾田第一高等学校, 普通科

Career

  • Apr. 2023 - Present, Ibaraki University, Institution for Information Management and Strategy, Assistant professor, Department of data strategy
  • Sep. 2022 - Mar. 2023, Tokyo Polytechnic University, Faculty of Engineering, Part‐time instructor
  • Jun. 2022 - Mar. 2023, Seikei University, Faculty of Science and Technology Department of Science and Technology, Assistant professor, Major in Data and Mathematical Sciences
  • Apr. 2022 - Mar. 2023, Tokyo University of Science, Graduate School of Engineering, Visiting researcher
  • Apr. 2020 - Jun. 2022, Seikei University, Faculty of Science and Technology Department of Computer and Information Science, Assistant professor

Member History

  • Jun. 2022 - Jun. 2026, Technical Committee, IEICE Educational Technology
  • Aug. 2023 - Mar. 2024, Young Researcher's Award Committee, The Institute of Electronics, Information and Communication Engineers
  • Aug. 2022 - Mar. 2023, Young Researcher's Award Committee, The Institute of Electronics, Information and Communication Engineers

External link

Message from Researchers

  • (Message from Researchers)

■Research activity information

Award

  • May 2024, Best Award (Space weather), GeoSciAI2024, Solar Flare Prediction Using Solar Observation Data, Japan Geoscience Union & The Japanese Society for Artificial Intelligence
    Rie Enomoto;Taisuke Kawamata;Ryozo Kitajima;Shinji Sakamoto;Toshiyuki Hashimoto
    Japan society
  • Oct. 2023, Excellent Poster Awards Outstanding Prize, Writer Alternation Detection by Sequential Hotelling's Theory for e-Testing, IEEE GCCE
    Taisuke Kawamata;Takako Akakura
    International society
  • Sep. 2016, FIT Research Incentive Award, Probabilistic Authentication Using Sequential Face Similarity Data in E-learning, Forum on Information Technology
    Taisuke Kawamata
    Japan society
  • Nov. 2015, Research Incentive Award, A study of various sequential update method for face authentication in e-Learning system, IEICE Educational Technology
    Taisuke Kawamata
    Japan society

Paper

  • 〔Major achievements〕Categorization of ICT Inquiry Data using Mail Subjects
    Taisuke Kawamata; Kazuyuki Yamamoto; Yasuhiro Ohtaki, Lead, 情報系センターにおける業務の一つである問合わせ対応の効率化を目的に，問合わせデータを機械的にカテゴライズする方法を検討した．問合わせはメールで行われることが多いが，メールの本文には問合わせと無関係なノイズが多く含まれ，それらのノイズを前処理で削除するための工程が，自動的なカテゴライズを困難なものにしている．そこで本研究では，メールの件名が本文の要約であり，また短文であることからノイズが少ないという点に着目し，件名の活用方法について検討を行う．短文に含まれる単語情報を効果的に活用するため，文書の文脈を考慮することが可能な深層言語モデルBERTを用いて特徴抽出を行った．実際の問い合わせデータを対象に，抽出した特徴をクラスタリングし，人間のカテゴライズと比較した．その結果，件名を用いた分類は本文を用いた分類よりも意味としてまとまったクラスタを生成することが明らかになった．これにより，件名を活用することで，メール分析における前処理の課題を解決できる可能性が示唆された．, Academic eXchange for Information Environment and Strategy
    Journal for Academic Computing and Networking, Nov. 2024, [Reviewed]
  • 〔Major achievements〕Hierarchical Clustering of University Faculty Based on Professional Accomplishments
    Taisuke Kawamata, Lead, To visualize the research information owned by the university, we applied hierarchical clustering to features extracted from the titles of faculty achievements and implemented an fuzzy search for faculty members by binary search tree. We executed feature extraction using Sentence BERT and classification using the Ward method for the performance titles of faculty members affiliated with Ibaraki University, collected from researchmap. The classification results differed from the university's departmental affiliations; however, the clustering results were validity in light of the actual research content. Additionally, we evaluated the accuracy of faculty member search by title. The evaluation results revealed that research achievements other than those of the first author and the presence of collaborating researchers affect the accuracy., Information Processing Society of Japan
    Digital Practice, Transactions of Information Processing Society of Japan, Oct. 2024, [Reviewed]
  • 〔Major achievements〕A Voice Verification based Examinee Authentication in Multiple-Choice e-Testing
    Taisuke Kawamata; Tsubasa Hattori; Toru Kano; Takako Akakura, Lead, To detect proxy test-taking in online exam, we focused on speaker verification, which is a biometric authentication method using voice input, and developed a test system by using a microphone, which is a cheap and widely-used device. Experimental results showed that the accuracy of this procedure is higher than the writer verification in previous research. In addition, the voice response system using a microphone was found to reduce the psychological burden on examinees compared with video monitoring., Institute of Electronics, Information and Communication Engineers
    IEICE TRANSACTIONS on Information and Systems, Mar. 2024, [Reviewed]
  • 〔Major achievements〕Proposal of Multimodal Fatigue Measurement Using Face and Writing Information for Online Education
    Taisuke Kawamata; Takako Akakura, Lead, In e-learning, learners tend to fatigue caused by loneliness or a learning environment. To prevent drop out, we develop a system for measuring fatigue using a webcam. In this paper, we propose a multimodal fatigue measurement using facial information and writing features that can be obtained with the tablet PCs, and an experimental result suggested the possibility of improving measuring accuracy by combining the face and writing information., Institute of Electronics, Information and Communication Engineers
    IEICE TRANSACTIONS on Information and Systems, Feb. 2023, [Reviewed]
  • Sequential Authentication using Handwriting Biometrics for Free Response e-Testing
    Taisuke Kawamata; Takako Akakura, Lead, To prevent proxy-test taking among examinees in unsynchronized e-Testing, a previous work proposed an online handwriting authentication. That method was limited to applied for end of each answer. For free response tests that needed to authenticate throughout the answer, we used the Bayesian prior information to examine a sequential handwriting authentication procedure. The evaluation results indicate that the accuracy of this procedure is higher than the previous method in examinees authentication during mathematics exam with referring the Chinese character., Institute of Electronics, Information and Communication Engineers
    IEICE TRANSACTIONS on Information and Systems, Apr. 2020, [Reviewed]
  • Development of a Knowledge Acquisition Support System Featuring Assembly of Logical Formulas and Logic Circuits Based on a Problem-Solving Process Model of the Japanese Patent Act
    Takako Akakura; Taisuke Kawamata; Koichiro Kato, In this study, we developed a system based on a problem-solving process model of the Japanese Patent Act to support knowledge acquisition among engineering students, who are better at interpreting the use of logical formulas and logic circuits than they are at reading legal texts. The knowledge acquisition support system helped students construct legal articles by themselves by using logical formulas and logic circuits. We found that this system was rated favorably by some students and that it was useful for their knowledge acquisition. Meanwhile, it is necessary to improve the system for those students who did not rate it favorably and to devise a support system for term exams. We speculate that such improvements will increase usage of the system, which in turn will lead to further support for knowledge acquisition., Japanese Society for Engineering Education
    Journal of JSEE, Jul. 2019, [Reviewed]
  • Relationship Between Use of a Learning Support System for Intellectual Property Law Education and Knowledge Acquisition
    AKAKURA Takako; KAWAMATA Taisuke; TOMOTO Takahito; KATO Koichiro, We analyze the relationship between use of a learning support system for face-to-face lectures on intellectual property law and knowledge acquisition. We first describe a system that we are currently developing and operating. We next analyze the relationship between system use and knowledge acquisition over the past 5 years (FY 2013–2017) for engineering students participating in these lectures. The analysis results show that daytime students frequently used the system for mid-term and final exams, and that nighttime students tended to access the system throughout the term. Finally, we analyze relationships between login count, video system usage time, and exercise system usage times in FY 2017. The results suggest that the video system is useful for acquiring basic knowledge, and that the exercise system promotes acquisition of applied knowledge. The exercise system for studying legal texts, logical expressions, and logic circuits was well received by engineering students, suggesting that system usage facilitates understanding of legal texts. In future work, we will improve the exercise system for logical expressions and logic circuits., Japanese Society for Engineering Education
    Journal of JSEE, Mar. 2019, [Reviewed]
  • Development of Sequential Examinee Authentication System Using Web Camera and Pen Tablet for e-Testing
    Taisuke Kawamata; Takako Akakura, Lead, One problem in e-testing is that cheating by impersonation is easy.
    In a previous work, a biometrics authentication was proposed for e-testing.
    That method was limited in that it disturb examinees.
    This paper proposes a combination of the previously proposed handwriting authentication with face authentication, and we developed an examinee authentication system that can be applied in real time without disturbing examinees, which using facial images from a webcam and handwriting information from a pen-based tablet during e-testing., Institute of Electronics, Information and Communication Engineers
    IEICE TRANSACTIONS on Information and Systems, Mar. 2019, [Reviewed]
  • Use of Learning Support Systems in Intellectual Property Law Education in Engineering Departments
    Takako Akakura; Taisuke Kawamata; Koichiro Kato, Engineering students taking face-to-face classes on intellectual property law have indicated a desire to study a greater amount of applicable content. Accordingly, we have developed and are currently operating various learning support systems. The first system has video recordings of lectures as well as additional functions such as practice exercises. The second system is a self-learning support system that utilizes the fact that law statements can be represented by logical expressions. In the third system, the user interface of the second system is represented by logic elements and logic circuits. In this report, we explain these three systems, and we compare and analyze the use of each system by students and their evaluation of the systems. It was found that, overall, students preferred the first system. In addition, first system was evaluated highly by students who placed emphasis on acquiring knowledge, while the second and third systems were highly evaluated by those who prefer to do problem exercises., Japanese Society for Engineering Education
    Journal of JSEE, Jan. 2019, [Reviewed]
  • Learner Authentication by Sequential Updated Reference Information Using Input Face Information in a E-Learning
    Taisuke Kawamata; Takatoshi Ishii; Takako Akakura, Lead, We developed a face authentication updating a reference information for prevention spoofing on e-Learning. The result of an evaluation experiment showed our proposal improves accuracy by weighting update which based on e-Learning events and a similarity between template and input information., Institute of Electronics, Information and Communication Engineers
    IEICE TRANSACTIONS on Information and Systems, Apr. 2018, [Reviewed]

MISC

Lectures, oral presentations, etc.

Courses

Affiliated academic society

  • Oct. 2021 - Present, Information Processing Society of Japan
  • Apr. 2018 - Present, The Japan Intellectual Capital Management Association
  • Jun. 2016 - Present, Japan Society for Educational Technology
  • Jan. 2015 - Present, The Institute of the Electronics, Information and Communication Engineers
  • Jun. 2024 - Mar. 2025, The Japanese Society for Artificial Intelligence
  • Nov. 2018 - Sep. 2024, Japanese Society for Engineering Education

Works

Research Themes

Media Coverage

Academic Contribution Activities