Abstract
Recognizing user context is important in making mobile devices simple to
use. The device and the underlying mobile service can provide a personalized
user interface that adapts to the usage situation. The device can infer parts
of the context of the user from features extracted from on-board sensors that
make measurements of acceleration, noise level, luminosity, humidity, etc. In
this paper we justify why generating different level descriptions of user
context is necessary for the development of useful applications. We also show
how it is possible to generate higher level contexts. A practical method
based on the clustering of symbol string data using the SCM algorithm is
described. This is applied to the analysis of a real data set from sensor
recordings. Based on this data and using the various ideas presented,
different levels of user context are generated and a simple method for
changing a mobile device profile are described.
| Original language | English |
|---|---|
| Publication status | Published - 2003 |
| MoE publication type | Not Eligible |
| Event | Workshop on Artificial Intelligence in Mobile System - Seattle, United States Duration: 12 Oct 2003 → 12 Oct 2003 |
Conference
| Conference | Workshop on Artificial Intelligence in Mobile System |
|---|---|
| Country/Territory | United States |
| City | Seattle |
| Period | 12/10/03 → 12/10/03 |