mCrowd: a platform for mobile crowdsourcing

Authors:
Tingxin Yan;Matt Marzilli;Ryan Holmes;Deepak Ganesan;Mark Corner
Affiliations:
University of Massachusetts, Amherst, MA;University of Massachusetts, Amherst, MA;University of Massachusetts, Amherst, MA;University of Massachusetts, Amherst, MA;University of Massachusetts, Amherst, MA
Venue:
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Year:
2009

Citing 1
Cited 9

Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application

Proceedings of the 6th ACM conference on Embedded network sensor systems

Integrated tool chain for recording and handling large, multimodal context recognition data sets

Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
Ubiquitous crowdsourcing

Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
Crowdsourced news reporting: supporting news content creation with mobile phones

Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Fast track article: Balancing behavioral privacy and information utility in sensory data flows

Pervasive and Mobile Computing
Location-based crowdsourcing of hyperlocal news: dimensions of participation preferences

Proceedings of the 17th ACM international conference on Supporting group work
Acc: generic on-demand accelerations for neighbor discovery in mobile applications

Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
From sensing to controlling: the state of the art in ubiquitous crowdsourcing

International Journal of Communication Networks and Distributed Systems
Social welfare maximization in participatory smartphone sensing

WASA'13 Proceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications
ACM HotMobile 2013 poster: CPM: a participation management framework for mobile crowdsensing

ACM SIGMOBILE Mobile Computing and Communications Review

Quantified Score

Hi-index	0.00

Visualization

Abstract

Crowdsourcing is a new paradigm for utilizing the power of "crowds" of people to facilitate large scale tasks that are costly or time consuming with traditional methods. Crowdsourcing has enormous potential that can be truly unleashed when extended to sensor-rich mobile devices, such as smart phones. In this paper, we demonstrate mCrowd, an iPhone based mobile crowdsourcing platform that enables mobile users to post and work on sensor-related crowdsourcing tasks. mCrowd enables mobile users to fully utilize the rich sensors equipped with iPhone to participate and accomplish crowdsourcing tasks at fingertips, including geolocation-aware image collection, image tagging, road traffic monitoring, and others.