Ubiquity of internet-connected media- and sensor-equipped portable devices has emerged a range of opportunities for direct involvement of citizens into public decision making, leading to a new participatory format of public administration functioning. By intersecting the power of the crowdsourcing problem-solving paradigm, directly relying on human intelligence, with instantaneity and situation-awareness of mobile technologies, one gets a context-aware crowdsourcing approach for problem-solving in the right circumstances with the right people. In this paper, we present a prototype implementation of a context-aware mobile crowdsourcing system that enables the deployment and execution of crowdsourcing campaigns with users carrying mobile devices. Through the use of context, the system is designed to maximize conditions for user participation, while minimizing the usage of energy. The paper describes the system architecture, defines optimized sampling algorithm, and outlines the executed ...

Context-Aware Mobile Crowdsourcing

Tamilin, Andrei;Conci, Nicola
2012-01-01

Abstract

Ubiquity of internet-connected media- and sensor-equipped portable devices has emerged a range of opportunities for direct involvement of citizens into public decision making, leading to a new participatory format of public administration functioning. By intersecting the power of the crowdsourcing problem-solving paradigm, directly relying on human intelligence, with instantaneity and situation-awareness of mobile technologies, one gets a context-aware crowdsourcing approach for problem-solving in the right circumstances with the right people. In this paper, we present a prototype implementation of a context-aware mobile crowdsourcing system that enables the deployment and execution of crowdsourcing campaigns with users carrying mobile devices. Through the use of context, the system is designed to maximize conditions for user participation, while minimizing the usage of energy. The paper describes the system architecture, defines optimized sampling algorithm, and outlines the executed ...
2012
Ubicomp '12 The 2012 ACM Conference on Ubiquitous Computing
New York
Association for Computing Machinery
9781450312240
Tamilin, Andrei; I., Carreras; E., Ssebaggala; A., Opira; Conci, Nicola
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/96533
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