AAAI Publications, Third AAAI Conference on Human Computation and Crowdsourcing

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Crowdsourcing Based on GPS
Ketan Madhavrao Vazirabadkar, Siddhant Surendra Gadre, Rajeev Sebastian, Nikhil Dwivedi

Last modified: 2015-09-23

Abstract


Machines cannot answer all the queries. There are some queries which need human input for providing information that is missing from the database, to perform computationally difficult procedures, and for cross checking, ordering, or aggregating results based on fuzzy criteria. Crowd sourcing can be used to solve such queries. Smartphones can unfold the full potential of crowdsourcing, allowing users to transparently contribute to complex and novel problem solving. We present the intrinsic characteristics of smartphones, a taxonomy that gives classification of the emerging field of mobile crowdsourcing and application that optimize location-based queries and similarity services over data generated by a crowd. This paper will focus on our application which uses Internet as a source of getting information which is so relevant to us that it is about what we want to do right where we are right now in the best possible way. We have implemented two ideas over the course of the project — first, a Location-Based crowd sourced forum and secondly, a platform where one can get location based relevant infor-mation. The forum will enable a user to ask relevant and location based question which will be answered by the people who are familiar with that area and the platform will monitor user’s location at regular intervals and pop up relevant information as soon as s/he enters a particular radius of an area of his/her preferred choices.

Keywords


Mobile Application;Android;Crowdsourcing;GPS;KEA

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