Crowdsourcing sensor tasks to a socio-geographic network
Damian Lasnia, A. Broering, Simon Jirka, Albert Remke · University of Twente Research Information · 2010
This work describes an approach of a socio-geographic network for crowdsourcing sensor tasks to a human sensor web. Users can register as human sensors at the system by defining their skills and impact area. Based on that information, submitted sensor tasks are forwarded to the most suitable human sensor. Motivated by their willingness to help, users can support others by supplying information about their local environment as responses to sensor task requests. This enables people to retrieve data which is currently not existing or publicly accessible on the Web. A person who is moving to another country and interested in renting a flat without knowing much about its environment is one example for a potential requester of human sensor tasks. Data contributed once to this human sensor web is henceforth available to the public via existing Web 2.0 platforms.