IEEE Pervasive Computing
Urban sensing systems: opportunistic or participatory?
Proceedings of the 9th workshop on Mobile computing systems and applications
Money Circulation, Trackable Items, and the Emergence of Universal Human Mobility Patterns
IEEE Pervasive Computing
Examining micro-payments for participatory sensing data collections
Proceedings of the 12th ACM international conference on Ubiquitous computing
A survey of mobile phone sensing
IEEE Communications Magazine
AnonySense: A system for anonymous opportunistic sensing
Pervasive and Mobile Computing
Ubiquitous mobile instrumentation
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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Human mobility has been widely studied for a variety of purposes, from urban planning to the study of spread of diseases. These studies depend heavily on large datasets, and recent advances in collaborative sensing and WiFi infrastructures have created new opportunities for generating that data. However, these methods and procedures require the participation of a significant community of users through extended periods of time. In this paper, we address the problem of how to engage people to participate in the data collection process. We have conducted a user study on the utilisation of a mobile collaborative sensing application. We have found that users react positively to campaigns, but it is difficult to keep them participating for long periods of time. We also hypothesise that one must close the loop, rewarding the participants with services based on the collected data, eventually showing that there is added value obtainable from crowd sourcing.