Digital-Wellbeing powered by IT/AI Technologies

Ubiquitous Computing (Ubicomp), Cyber-Physical Systems (CPS), Big Data, IoT, AI ... Information technology develops along with various keywords, but within that, we humans have limited ability and time (e.g., "too much information to be consumed") and sometimes we are not really rational but emotional. Collaboration and co-evolution between human users and computational intelligence are still under development.

We are researching on the theme of creating new "physical, psychological and social well-being" using IT/AI technologies in various different life stages of life in the 21st century "100 years of life" . Especially in the "WellComp" (Computing for Well-being) research group, we are researching with our students every day.

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

Tadashi Okoshi is an associate 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
・ACM Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Associate Editor
・Information Processing Society of Japan (IPSJ), SIG-UBI (Ubiquitous Computing System), Organizing committee
・Japan Society of Software Science and Technology (JSSST), Planning Committee, Representative member
・IT businesses, Technical advisory board positions

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

Highlights of Recent Publication (see a ll)

T. Okoshi, W. Sasaki, H. Kawane, and K. Tsubouchi, “NationalMood: Large-scale Estimation of People’s Mood from Web Search Query and Mobile Sensor Data.” 2020. (pre-print in Arxiv.org)
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.
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.
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.
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)
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.
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)
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.
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)
K. W. Tan, T. Okoshi, A. Misra, and R. K. Balan. Focus: A usable and effective approach to OLED display power management. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp'13), pages 573-582, New York, NY, USA, 2013. ACM. (Honorable Mention)

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/