Mobile Crowd Sensing and Computing: When Participatory Sensing Meets Participatory Social Media
May 01, 2015 ยท Declared Dead ยท ๐ IEEE Communications Magazine
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Authors
Bin Guo, Chao Chen, Daqing Zhang, Zhiwen Yu, Alvin Chin
arXiv ID
1505.00111
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
102
Venue
IEEE Communications Magazine
Last Checked
2 months ago
Abstract
With the development of mobile sensing and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC), which leverages heterogeneous crowdsourced data for large-scale sensing, has become a leading paradigm. Built on top of the participatory sensing vision, MCSC has two characterizing features: (1) it leverages heterogeneous crowdsourced data from two data sources: participatory sensing and participatory social media; and (2) it presents the fusion of human and machine intelligence (HMI) in both the sensing and computing process. This paper characterizes the unique features and challenges of MCSC. We further present early efforts on MCSC to demonstrate the benefits of aggregating heterogeneous crowdsourced data.
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