Hi Kris. I don't have any specific area of context-awareness I'm interested in, I find all context-aware applications fairly interesting.
It's an interesting question. There's tremendous potential in what can be done as our ability to glean context from a bunch of raw data improves, but that's still an area of active research. There's a lot of research papers on attempting to do this, but it's still in its infancy. There's probably some commercial applications that are accomplishing more than I realize, but I'm not as familiar with those. It will depend on what users are willing to share as well. For instance, calendar data can be combined with sensor data to get a better idea of what a person is doing if users are willing to share both of those.
As far as what's commercially viable already, most of it is location based. One other area that is pretty well established is determining user activity from the accelerometer (such as standing, laying, walking, running, riding in a vehicle). There's been a lot of research in this area, and they can predict activity fairly accurately now.
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