Technological achievements in user context monitoring
techniques enable automating certain computational tasks which are
executed by anticipating the user’s intention. These kind of techniques
are based on the processing of sensor information that is collected from
multiple sources such as smartphones, environment, etc.
In the
case of smartphones, sensor information is gathered by embedded
micromechanical artifacts (e.g. accelerometer, gyroscope, etc) and
processed locally in real-time (in the phone) for changing some
usability aspects in the mobile applications. For instance, the
accelerometer sensor can be used for rotating the screen of the device
depending on how the user is holding the handset. Another example is the
light sensor which enables augmenting and decreasing the brightness of
the mobile screen according to the situation of the environment (e.g.
indoor, outdoor, etc).
Similarly, environmental sensor
information is provisioned as a service (raw data) to mobile users by
locating multiple microelectromechanical appliances within the
environment. For instance, a thermistor sensor can be located for
perceiving the temperature in the context of the user so that a mobile
application can use that information for a proactive reaction (e.g.
displaying different background screens or triggering a vibration event
in the case of mobile pervasive games).
Research staff
- Assoc. Prof. Dr. Satish Narayana Srirama
- Huber Flores
- Carlos Paniagua
Projects
- Tanel Tähepõld – Context-aware Mobile Games using Android, Arduino and HTML5 (2012)
- Martti Marran – Generating Schematic Indoor Representation based on Context Monitoring Analysis of Mobile Users (2012)