'Guess a who, why, where, when?': the visualization of context data to aid the authoring and orchestration of a mobile pervasive game

  • Authors:

  • Michael Wright;Alan Chamberlain;Chris Greenhalgh;Steve Benford;Nick Tandavanitj;Amanda Oldroyd;Jon Sutton

  • Affiliations:

  • Mixed Reality Laboratory, Department of Computer Science, University of Nottingham, Nottingham, UK;Mixed Reality Laboratory, Department of Computer Science, University of Nottingham, Nottingham, UK;Mixed Reality Laboratory, Department of Computer Science, University of Nottingham, Nottingham, UK;Mixed Reality Laboratory, Department of Computer Science, University of Nottingham, Nottingham, UK;Blast Theory, Portslade, Brighton, UK;BT Research, Ipswich, UK;BT Research, Ipswich, UK

  • Venue:
  • OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

As part of the mobile pervasive game, Professor Tanda's 'Guess A Where' [1] there was a need to allocate pre-authored content for the game on a daily basis to provide an enjoyable and engaging experience. To aid this allocation of content we collected and visualized context information about each player during the course of the game. The aim of these visualizations was to provide a method through which an author/orchestrator could retrospectively view a player's current total and daily context data gathered by the game. Observations made about this data could then be used to, not only allocate appropriate content but, to tailor the content to a specific player. This paper presents the data that was gathered and the visualizations created to achieve this process.