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Our ATTENTION matters
in computing.

 

Management of "human's attention": a big missing piece in ubiquitous computing

Japanese | English

Emerging ubiquitous computing age has been bearing versatile interesting opportunities of research and invention across computer science and other disciplines. After my experience on computer science in Carnegie Mellon University followed by several year experiences at the web startups, now I am back in Keio University in Japan and pursuing my research on ubiquitous computing. My current research theme is human attention-aware computing. 

Tadashi Okoshi, Ph.D.
Project Associate Professor
Graduate School of Media and Governance
Keio University

Further research content is here: http://www.ht.sfc.keio.ac.jp/~slash/
Blog: http://blog.okoshi.org

Selected Publication (
see all)

  1. 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.

  2. 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.

  3. 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)

  4. 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.

  5. 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)

  6. 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.

  7. 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)

  8. 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] ht.sfc.keio.ac.jp
http://www.okoshi.org
http://www.ht.sfc.keio.ac.jp/~slash/