CatchBob! automatic data analysis

Recent advances in the CatchBob replay tool project allowed me to automatically compute a new interesting index for the analysis of our pervasive game: the phasing of the activity. As emerged from the qualitative study of CatchBob!, the game is divided into 3 phases:

  • Dispersion of individuals to efficiently locate Bob's area.
  • When one player find the approximate location, the others converge towards him.
  • Then they re-spread to form the triangle so that they can surrounds the object.

What is great is that I now when each phases starts thanks to the analysis of the players' dispersion: the pictures below depicts the evolution of the perimeter formed by a triangle made up of each of the players' position. The evolution of this perimeter shows the 3 differents parts: