Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Painting the town red: configuring location-based games by colouring maps
Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
Taking location modelling to new levels: a map modelling toolkit for intelligent environments
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Social disclosure of place: from location technology to communication practices
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Picking pockets on the lawn: the development of tactics and strategies in a mobile game
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Extending authoring tools for location-aware applications with an infrastructure visualization layer
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
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Previous research has proposed that authoring tools for location-aware mobile experiences should be extended to reveal the usually hidden ubiquitous computing infrastructure to designers so that they can take account of its characteristics when placing digital content. This paper explores this idea in practice, describing how a suite of such authoring tools has evolved through an iterative process of collaborating with artists to create a location-based game. Reflections on the design process identify the need to support the mobile capture, verification and annotation of mapping data 'in the field' and the visualization and use of this data back 'in the studio' as part of a tightly integrated workflow. We also identify the need for more powerful visualizations that can deal with multiple layers of information representing different locations and networks, and that can move between abstract and detailed views of the data on demand.