Technometrics
Seamful interweaving: heterogeneity in the theory and design of interactive systems
DIS '04 Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques
Harnessing mobile ubiquitous video
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Interweaving mobile games with everyday life
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Coordinated Visualisation of Video and System Log Data
CMV '06 Proceedings of the Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization
Indexing of personal video captured by a wearable imaging system
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Person tracking and multicamera video retrieval using floor sensors in a ubiquitous environment
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Filtering location-based information using visibility
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
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
Adapting ubicomp software and its evaluation
Proceedings of the 1st ACM SIGCHI symposium on Engineering interactive computing systems
A population approach to ubicomp system design
Proceedings of the 2010 ACM-BCS Visions of Computer Science Conference
Further into the wild: running worldwide trials of mobile systems
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
International Journal of Mobile Human Computer Interaction
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In evaluating and analysing a pervasive computing system, it is common to log system use and to create video recordings of users. A lot of data will often be generated, representing potentially long periods of user activity. We present a procedure to identify sections of such data that are salient given the current context of analysis; for example analysing the activity of a particular person among many trial participants recorded by multiple cameras. By augmenting the cameras used to capture a mobile experiment, we are able to establish both a location and heading for each camera, and thus model the field of view for each camera over time. Locations of trial participants are also recorded and compared against camera views, to determine which periods of user activity are likely to have been recorded in detail. Additionally the stability of a camera can be tracked and video can be subsequently filtered to exclude footage of unacceptable quality. These techniques are implemented in an extension to Replayer: a software toolkit for use in the development cycle of mobile applications. A report of initial testing is given, whereby the technique's use is demonstrated on a representative mobile application.