researchmap: https://researchmap.jp/ktago?lang=ja

ジャーナル（査読あり）

  1. R. Cong, K. Tago, Q. Jin, “Measurement and Verification of Cognitive Load in Multimedia Presentation Using an Eye Tracker,” Multimedia Tools and Applications, Vol. 81, pp. 26821–26835, 2022.
  2. S. Kasuya, K. Tago, Q. Jin, “Measurement and quantification of an individual’s feelings for a place in personal data analysis,” Human Behavior and Emerging Technologies, Vol. 3, No. 5, pp. 739-749, 2022.
  3. K. Tago, S. Nishimura, A. Ogihara, and Q. Jin, “Improving diagnosis estimation by considering the periodic span of life cycle based on personal health data,” Big Data Research, Vol. 23, No. 15, 2021.
  4. K. Tago, K. Takagi, and Q. Jin, “Detection of Health Abnormality Considering Latent Factors Inducing a Disease,” IEEE Access, Vol. 8, pp. 139433-139443, 2020.
  5. K. Tago and Q. Jin, “Influence Analysis of Emotional Behaviors and User Relationships Based on Twitter Data,” Tsinghua Science and Technology, Vol. 23, No. 1, pp.104-113, 2018.
  6. K. Tago, K. Takagi, S. Kasuya, Q. Jin, “Analyzing Influence of Emotional Tweets on User Relationships Using Naive Bayes and Dependency Parsing,” World Wide Web Journal, Vol. 22, pp. 1263–1278, 2018.
  7. S. Kasuya, X. Zhou, K. Tago, S. Nishimura, Q. Jin, “Cyber-Enabled Well-Being Oriented Daily Living Support Based on Personal Data Analytics,” IEEE Transactions on Emerging Topics in Computing, Vol. 8, No. 2, pp. 493 – 502, 2017.

国際会議（査読あり）

  1. Y. Suzuki, Y. Sekine. K. Tago, “Analysing Relaxation Effects Through Natural Experiences Using Natural Sounds and VR Devices,” 14th International Conference on Information Technology in Medicine and Education (ITME2024). (Accepted)
  2. Y. Suzuki, Y. Sekine. K. Tago, “Comparative Analysis of Relaxation Effects through Natural Experiences Using a VR Device,” 13th International Conference on Information Technology in Medicine and Education (ITME2023), pp,413-417, 2023.
  3. E. Murata, K. Tago, Q. Jin, “Investigating the Factors to Improve Discrimination of the Desire for Approval in Tweets by Incorporating Dependency Analysis,” In 25th International Conference on Human-Computer Interaction (HCII2023), LNCS, Vol. 14056, pp.316-325, 2023.
  4. R. Cong, Y. Ye, J. Wu, Y. Li, Y. Chen, Y. Bian, K. Tago, Shoji Nishimura, Atsushi Ogihara, Qun Jin, “A Trustworthy Decentralized System for Health Data Integration and Sharing: Design and Experimental Validation,” In 25th International Conference on Human-Computer Interaction (HCII2023), LNCS, Vol. 14045, pp. 125-134, 2023.
  5. Y. Wang, R. Cong, Y. Liu, K. Tago, Ruidong Li, Hitoshi Asaeda, Qun Jin, “Multi-Ledger Coordinating Mechanism by Smart Contract for Individual-Initiated Trustworthy Data Sharing,” In 25th International Conference on Human-Computer Interaction (HCII2023), LNCS, Vol. 14045, pp. 232-243, 2023.
  6. J. Wu, Y. Ye, Y. Li, R. Cong, Y. Bian, Y. Chen, K. Tago, Shoji Nishimura, Atsushi Ogihara, Qun Jin, “Multidimensional data integration and analysis for youth health care during the Covid-19 pandemic,” In 25th International Conference on Human-Computer Interaction (HCII2023), LNCS, Vol. 14029, pp. 154-168, 2023.
  7. Y. Sekine, S. Kasuya, K. Tago, “Improving Emotion Classification by a combination of Personal Texts and Social Big Data Based on Naive Bayes,” 12th International Conference on Information Technology in Medicine and Education (ITME2022), pp. 370-374, 2022.
  8. Y. Sekine, S. Kasuya, K. Tago, “Influence Analysis of the Screen Time on Daily Exercise Based on the Personal Activity Factor Model,” In Proceedings of the IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), pp. 275-280, 2022.
  9. E. Murata, K. Tago, Q. Jin, “Linguistic and Contextual Analysis of SNS Posts for Approval Desire,” In: Meiselwitz, G. (eds) Social Computing and Social Media: Design, User Experience and Impact. HCII 2022. Lecture Notes in Computer Science, vol 13315. Springer. 2022.
  10. R. Cong, Y. Liu, Y. Wang, K. Tago, R. Li, H. Asaeda, Q. Jin, “Secure Interoperation of Blockchain and IPFS through Client Application Enabled by CP-ABE,” In: Moallem, A. (eds) HCI for Cybersecurity, Privacy and Trust. HCII 2022. Lecture Notes in Computer Science, Vol. 13333. Springer pp. 30-41, Springer, 2022. https://doi.org/10.1007/978-3-031-05563-8_3
  11. K. Tago, A. Machida, S. Onose, Y. Nakagawa, “Analysis of Emotional and Topical Tendencies Focusing on a Twitter User’s Multiple Accounts,” In Proceedings of the 6th ACM International Conference on Compute and Data Analysis (ICCDA 2022), pp. 12–17, 2022.
  12. R. Cong, Y. Liu, K. Tago, R. Li, H. Asaeda, Q. Jin, “Individual-Initiated Auditable Access Control for Privacy-Preserved IoT Data Sharing with Blockchain,” Proceedings of the IEEE ICC2021 Workshop on Data Driven Intelligence for Networks and Systems, 2021.
  13. K. Tago, H. Wang, Q. Jin, “Classification of TCM pulse diagnoses based on pulse and periodic features from personal health data, ” In Proc. of the 2019 IEEE Global Communications Conference (GLOBECOM) , 6 pages, 2019.
  14. K. Tago, Q. Jin, “Polarity classification of tweets considering the poster’s emotional change by a combination of Naive Bayes and LSTM,” In Proc. of the 19th International Conference on Computational Science and Applications (ICCSA 2019), Lecture Notes in Computer Science (Springer), 2019.
  15. K. Tago, A. Ogihara, S. Nishimura, Q. Jin, “Analysis of pulse diagnosis data from a TCM doctor and a device by Random Forest,” In Proc. of the International Workshop on Intelligent Data Analytics and Applications (IDAA2018) (Joint with JSAI International Symposia on AI), Lecture Notes in Artificial Intelligence (Springer), pp.74-80, 2018.
  16. S. Kasuya, K. Tago, X. Zhou, Q. Jin, “Extraction of Factors Related to Transportations and Destinations by Decision Trees for Personal Whereabouts Modeling,” In Proc. of the 9th IEEE International Conference on Information Technology in Medicine and Education (ITME), pp. 808-812, 2018
  17. K. Ito, K. Tago, Q. Jin, “i-Blockchain: A Blockchain-Empowered Individual-Centric Framework for Privacy-Preserved Use of Personal Health Data,” In Proc. of the 9th IEEE International Conference on Information Technology in Medicine and Education (ITME),pp. 829-833, 2018.
  18. K. Tago and Q. Jin, “Detection of Anomaly Health Data by Specifying Latent Factors with SEM and Estimating Hidden States with HMM,” In Proc. of the 9th IEEE International Conference on Information Technology in Medicine and Education (ITME), pp.137-141, 2018.
  19. K. Takagi, K. Tago, K. Ito, Q. Jin, “Comparison of measurements by the betweenness centrality and subjective experiment on the word priority of Tweets,” In Proc. of the 4th IEEE International Conference on Internet of People, pp. 1936-1941, 2018.
  20. K. Tago, K. Takagi, K. Ito, Q. Jin, “Specifying Latent Factors with a Domain Model for Personal Data Analysis,” In Proc. of the 3rd IEEE Cyber Science and Technology Congress (CyberSciTech), pp. 286-291, 2018.
  21. K. Tago and Q. Jin, “Analyzing Influence of Emotional Tweets on User Relationships by Naive Bayes Classification and Statistical Tests,” In Proc. of the 10th IEEE International Conference on Service Oriented Computing and Applications (SOCA2017), pp.217-222, 2017.

分担執筆

  1. K. Tago, K. Ito, Q. Jin, “Detecting Singular Data for Better Analysis of Emotional Tweets,” Smart Data: State-of-the-Art and Perspectives in Computing and Applications, CRC Press, 2019.

口頭発表

  1. K. Tago and Q. Jin, “Influence Analysis of Emotional Behaviors to User Relationships Based on Twitter Data,” Oral presentation at the 5th IEEE international conference on Advanced Cloud and Big Data (CBD2017), 2017.

受賞・外部資金

  1. 関東工学教育協会賞（奨励賞），関東工学教育協会 (2024)
  2. 国際会議論文発表者助成，NEC C&C財団 (2019)