“Investigating the occurrence of selfie-based emotional contagion over social network” is published on Social Network Analysis and Mining (SNAM)!
http://link.springer.com/10.1007/s13278-020-00712-0
Our Teaser Video (SelfGuard) for SenSys2020 is published on SIGMOBILE’S YouTube Channel
Our paper “SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic” is accepted by ACM SenSys2020 (COVID-19 Pandemic Response session)
Our paper “SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic” is accepted by ACM SenSys2020 (COVID-19 Pandemic Response session). Yuuki Nishiyama (Assistant Professor), Takuro Yonezawa (Associate Professor from Nagoya University), and Kaoru Sezaki (Professor) wrote the paper.
The MOCHA project, which our laboratory is participating in, was introduced in Nikkei xTECH.
[Link to the article in Niccke xTECH]https://xtech.nikkei.com/atcl/nxt/info/18/00001/020800003/ [Link to the MOCHA project]https://mocha.t.u-tokyo.ac.jp/
Zengyi Han (PhD Student) joined Doctoral Consortium in ACM MobileHCI 2020, and presented and discussed this research “Context Aware Photo Protection for In-Situ Sharing” with participants.
助教の西山がHASCA2020(ACM UbiComp2020 併設ワークショップ)にて研究発表「Using IOS for Inconspicuous Data Collection: A Real-World Assessment」を行いました!
助教の西山が、ACM UbiComp2020の併設ワークショップHASCA2020にて研究発表を行ました。
Soichiro Higuma presented his research “Towards estimating UV light intensity using GPS signal strength” at an in-conjunction workshop (WellComp2020) in ACM UbiComp2020

Soichiro Higuma presented his research “Towards estimating UV light intensity using GPS signal strength” at an in-conjunction workshop (WellComp2020) in ACM UbiComp2020
[AWARD] Our research won the Best Paper Award at SIG (Special Interesting Group) Ubiquitous Computing System (UBI) in IPSJ
![[AWARD] Our research won the Best Paper Award at SIG (Special Interesting Group) Ubiquitous Computing System (UBI) in IPSJ [AWARD] Our research won the Best Paper Award at SIG (Special Interesting Group) Ubiquitous Computing System (UBI) in IPSJ](https://www.mcl.iis.u-tokyo.ac.jp/wp-content/uploads/2020/08/ubi66_award-710x300.png)
オンラインで開催された第66回 情報処理学会 ユビキタスコンピューティングシステム研究会にて発表した、「GPS信号受信状態を用いた紫外線量推定手法の検討」が優秀論文賞を受賞しました。
[AWARD] Our research won the Excellent Presentation Award at SIG (Special Interesting Group) Intelligent Transport Systems (ITS) in IPSJ
2020年5月28日にオンラインで開催された第81回 高度交通システムとスマートコミュニティ研究会(ITS)にて発表した「Non-Negative Tensor Factrizationを用いたドックレスマイクロモビリティの利用形態分類手法の検討」が優秀発表賞を受賞しました。