Human-Data Interaction in Cities and Local Communities
Our work in this area includes Community Reminder that allows people to share safety-relevant information in local communities, Crowd Replication for quantifying detailed human activities in urban public spaces, and a crowdsensing tool for detecting vacant houses.
References
Samuli Hemminki, Keisuke Kuribayashi, Shin’ichi Konomi, Petteri Nurmi, Sasu Tarkoma (2019). Crowd Replication: Sensing-Assisted Quantification of Human Behavior in Public Spaces. ACM Transactions on Spatial Algorithms and Systems
Shin’ichi Konomi, Tomoyo Sasao, Simo Hosio, Kaoru Sezaki. Using Ambient WiFi Signals to Find Occupied and Vacant Houses in Local Communities. Journal of Ambient Intelligence and Humanized Computing, pp.1-11. Springer, Berlin/Heidelberg.
Tomoyo Sasao, Shin’ichi Konomi, Vassilis Kostakos, Keisuke Kuribayashi, Jorge Goncalves. Community Reminder: Participatory Contextual Reminder Environments for Local Communities. International Journal of Human-Computer Studies, 102, pp. 41-53, Elsevier, Amsterdam, June 2017.
Shin’ichi Konomi, Tomoyo Sasao (2016). Crowd Geofencing. Proceedings of the 2nd EAI International Conference on IoT in Urban Space (Urb-IoT 2016), Tokyo, Japan, May 24–25, 2016. pp.14-17. ACM Press, NewYork, 2016
Kazuki Wakasa, Shin’ichi Konomi (2016). Weaving Urban Spaces through Visible Green to Increase the Awareness of Green Networks. Proceedings of the 2nd EAI International Conference on IoT in Urban Space (Urb-IoT 2016), Tokyo, Japan, May 24–25, 2016. pp.53-56. ACM Press, New York, 2016. [Best Note Award Nominee]