b.jpg
 

SCI-LX: Systems of Computing and Intelligence for Life X-formation

 

1/144 scale

Japanese | English

As 21st-century society rapidly accelerates toward a new equilibrium and Generative AI drives a dramatic technological shift, we face a critical question: how can we redefine well-being for the future? From the standpoint of computer science and informatics, our research group is researching the creation of novel IT/AI systems that enable 'Life Transformation (LX).' The high level goal of our research is to positively reshape our lives and build a foundation for a new era of human flourishing.

Tadashi Okoshi, Ph.D.
Professor
Faculty of Environment and Information Studies, Keio University

Tadashi Okoshi is an professor in Faculty of Environment and Information Studies, Keio University. He is a computer scientist especially focusing on information and computing systems for supporting our life-long wellbeing. His major is mobile and ubiquitous computing, context-aware computing etc. His recent research works are on human attention management, mobile affective computing, and computing for well-being (WellComp).
He has served as organizing and program committee member of mobile and ubiquitous systems, and networking conferences and workshops. He sits on the editorial boards of ACM Proceedings on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). He has been serving as social media director of ACM SIGMOBILE since 2016. In 2019, he was awarded IPSJ Microsoft Faculty Award, an annual award for young researchers who have made outstanding international contributions to research and development in major areas of informatics.
He holds B.A. in Environmental Information (1998), Master of Media and Governance (2000) from Keio University, M.S. in Computer Science (2006) from Carnegie Mellon University, and Ph.D. in Media and Governance (2015) from Keio University, respectively. He also has over 7-year experiences of entrepreneurship, software architecting, product management, and project management in IT industries (Web2.0, blogging, social networking and social media).

Activities and services
・ACM SIGMOBILE, Social media director
・Information Processing Society of Japan (IPSJ), SIG-UBI (Ubiquitous Computing System), Executive Secretary
・Academy of Behavior Transformation by AIoT, Executive Secretary

Records
・List of publications, grants, projects etc.
・CV
・Email: slash [at] sfc.keio.ac.jp
・Further research content is here: http://www.jn.sfc.keio.ac.jp/
・Blog: http://blog.okoshi.org
・ResearchMap, ORCID, ResearcherID, ResearchGate, Google Scholar

 

Recent Research THemes

Highlights of Recent Publication (see all)

  1. 濵中智己, 坂本一憲, 佐々木由樹, 水野慎一郎, 川崎康紀, 佐々木航, 中澤仁, and 大越匡, “ライフログサービスにおける行動変容に向けた適応的プッシュ通知型情報提示手法,” 情報処理学会論文誌, vol. 67, no. 3, pp. 571–587, Mar. 2026. (特選論文)

  2. D. Goto, S. Lee, A. Tsuge, S. Marui, S. Aoki, J. G. Ko, and T. Okoshi, “Hierarchical Localization and Tracking for In-Vehicle Mixed Reality,” in 2025 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR 2025), Nov. 2025, pp. 805–806, doi: 10.1109/ismar-adjunct68609.2025.00199.

  3. T. Okoshi, Z. Gao, Y. Z. Tan, T. Karasawa, T. Miki, W. Sasaki, and R. K. Balan, “Cyberoception: Finding A Painlessly-Measurable New Sense In The Cyberworld Towards Emotion-awareness In Computing,” Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI2025), pp. 1–17, Apr. 2025, doi: 10.1145/3706598.3713638.

  4. W. Sasaki, S. Hamanaka, S. Miyahara, K. Tsubouchi, J. Nakazawa, and T. Okoshi, “Large-Scale Estimation and Analysis of Web Users’ Mood from Web Search Query and Mobile Sensor Data,” Big Data Journal, vol. 12, no. 3, 2023, doi: 10.1089/big.2022.0211.

  5. Y. Yamada, T. Okoshi, and J. Nakazawa, “c-SNE: Deep Cross-modal Retrieval based on Subjective Information using Stochastic Neighbor Embedding,” Journal of Information Processing (IPSJ), vol. 31, pp. 246–255, 2023, doi: 10.2197/ipsjjip.31.246.

  6. 羽柴彩月, 大越匡, and 中澤仁, “ユーザビリティの低下による不快感を用いた SNS 利用に対するセルフコントロール手法,” 情報処理学会論文誌, vol. 64, no. 4, pp. 799–813, 2023, doi: 10.20729/00225487.

  7. 川島寛乃, 河野慎, 大越匡, and 中澤仁, “深層学習を用いた画像分類の継続学習におけるクラス難易度を考慮した容量制御,” 日本ソフトウェア科学会「コンピュータソフトウェア」, vol. 40, no. 3, pp. 3_16-3_28, 2023, doi: 10.11309/jssst.40.3_16.

  8. W. Huang, A. Tsuge, Y. Chen, T. Okoshi, and J. Nakazawa, “A Bus Crowdedness Sensing System Using Deep-Learning Based Object Detection,” IEICE Transactions on Information and Systems, vol. E105.D, no. 10, pp. 1712–1720, 2022, doi: 10.1587/transinf.2022PCP0007.

  9. 佐々木航, 羽柴彩月, 山田佑亮, 柿野優衣, 野田悠加, 中縁嗣, 西山勇毅, 大越匡, 中澤仁, 森将輝, 水鳥寿思, 塩田琴美, 永野智久, 東海林祐子, and 加藤貴昭, “SFC GO: 学生同士の繋がりを支援するオンライン体育授業サポートシステム,” 論文誌トランザクションデジタルプラクティス, vol. 3, no. 1, pp. 19–33, 2022.

  10. W. Sasaki, Y. Nishiyama, T. Okoshi, and J. Nakazawa, “Investigating the occurrence of selfie-based emotional contagion over social network,” Soc. Netw. Anal. Min., vol. 11, no. 1, p. 8, 2021.

  11. T. Okoshi, K. Tsubouchi, and H. Tokuda, “Real-World Product Deployment of Adaptive Push Notification Scheduling on Smartphones,” in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD ’19, 2019, pp. 2792–2800.

  12. T. Okoshi, J. Nakazawa, J. Ko, F. Kawsar, S. Pirttikangas, “WellComp 2018 (First International Workshop on Computing for Well-Being),” in Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers on - UbiComp ’18, 2018.

  13. T. Okoshi, K. Tsubouchi, M. Taji, T. Ichikawa, and H. Tokuda, “Attention and Engagement-Awareness in the Wild : A Large-Scale Study with Adaptive Notifications,” in Proceedings of IEEE International Conference on Pervasive Computing and Communications 2017 (IEEE PerCom ’17), p100-110, Mar 2017. (Best Paper Nominee)

  14. T. Okoshi, J. Ramos, H. Nozaki, J. Nakazawa, A. Dey and H. Tokuda. Reducing Users’ Perceived Mental Effort due to Interruptive Notifications in Multi-Device Mobile Environments. In Proceedings of The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp'15), p475-486, Sep. 2015.

  15. T. Okoshi, J. Ramos, H. Nozaki, J. Nakazawa, A. Dey and H. Tokuda. Attelia: Reducing User’s Cognitive Load due to Interruptive Notifications on Smart Phones. In Proceedings of IEEE International Conference on Pervasive Computing and Communications 2015 (IEEE PerCom ’15), p96-104, Mar 2015. (Best Paper Nominee)

  16. T. Okoshi, V. Lu, C. Vig, Y. Lee, R.K. Balan, and A. Misra. QueueVadis: Queuing Analytics Using Smartphones. In Proceedings of The 14th ACM/IEEE International Conference on Information Processing in Sensor Networks (ACM/IEEE IPSN '15), p214-225, Apr 2015.

  17. Yuuki Nishiyama, Tadashi Okoshi, Takuro Yonezawa, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda, Towards Health Exercise Behavior Change for Teams Using Life-logging, In Proceedings of 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (IEEE Healthcom'14), pages 397-403, Natal Brazil, 15 October 2014. (Best Paper Award)

CONTACT

Tadashi Okoshi
Keio University, Shonan Fujisawa Campus (SFC)
Delta-S213, 5322 Endo, Fujisawa, Kanagawa 252-0882 JAPAN

大越 匡
〒252-0882 藤沢市遠藤5322
慶應義塾大学 湘南藤沢キャンパス (SFC)　デルタS213

slash [at] sfc.keio.ac.jp
http://www.okoshi.org
http://www.jn.sfc.keio.ac.jp/