UbiComp is a concept that you can use any computer devices at any location.
It is strongly related to IoT (Internet of Things), and very interesting research field.

UbiComp2016 Overview

9/12~16, 2016 in Heidelberg, Germany
acceptance rate is 23.7% (114/481)

Five papers in UbiComp2016

WiFinger

Best paper and the most read paper in UbiComp2016
Clustering Wi-Fi propagation situation by light machine learning technique (DTW and kNN)
This research propose an interesting application of Wi-Fi for input for smart device input.

machine learning technique for RSSI-based indoor localization

This paper propose an machine learning technique for efficient information gathering rather than indoor localization.
The machine learning technique is based on Bayesian optimization and multi-task learning.

mentalhelth estimation from smartphone sensors
This paper propose a scoring method of mental health from FourSquare data by linear regression.

Thanks to FoureSquare data, each location's feature can be extracted.
Now, data in smartphone is used for even mental health.

ADL recognition in smart home by unsupervised learning

This paper propose an ADL estimation method from smart home sensor data by unsupervised learning.
The unsupervised learning method is based on ontology and Markov Logic Network.

Urban sensing and crowd sensing

This paper propose an optimization method of atendees and their each route to their destination in budget on the assumption that their current locations and destinations.

Conclusion

As above, UbiComp covers many fields such as mental health, smart home, UI, and machine learning.
I will continue to follow up UbiComp!