Category Archives: Research Results

Mobile MoodMap for iOS and Android Published

My Know-Center team “Ubiquitous Personal Computing ” just published the mobile MoodMap App for iOS and Android:

The Apps were developed by Peter Marton initially as a technical study of the the cross-platform development Titanium. Since this worked out fine overall – voilà two Apps!

Use the Apps to:

  • Express your mood in colours
  • Tag your mood: What happened in that instant? What are your (private) comments?
  • Visualise: Have a look at your own mood over time, and at the mood of the team around you.
  • React: It is up to you to react to mood changes. If things are going well: Enjoy! If things are not: Re-think the way you are communicating and working.

The mobile MoodMap App was developed in the context of the MIRROR EU project on reflective learning at work, based on the web-based, collaborative MoodMap App developed within MIRROR. We experimented with mood-tracking at work in order to identify things that go well and things that do not – with the goal to improve work practice of course.

Related publications (based on the collaborative MoodMap App) are:

“Home” and “Work” Semantic Place Detection in MyPlacesDiary App

Today we published the MyPlacesDiary App in the PlayStore: – Download and enjoy!

There are loads of cool things about this App, from a functionality point of view that it automatically detects your “home” and “work” place. In addition, it is the result of a lot of really nice collaborations:

  • Elisabeth, Oliver, Jörg and I worked on and published a paper on semantic place detection: “Lex, E., Pimas, O., Simon, J., Pammer, V – Where am I? Using mobile sensor data to predict a user’s semantic place with a random forest algorithm
  • Anna Weber did a cool master project in which she used the winning features for the categories “home” and “work” to create a heuristics-based semantic place detection algorithm
  • My team “Ubiquitous Personal Computing” at the Know-Center collaborated with Joanneum Research in a joint R&D project – very nice collaboration: Thanks Alfred, Anna, Stefan, Patrick!