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Mobile Crowd Sensing and Computing: When Participatory Sensing Meets Participatory Social Media

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arxiv 1505.00111 v1 pith:SOJM37R4 submitted 2015-05-01 cs.HC cs.CY

classification cs.HCcs.CY
keywords sensingparticipatorydatamcscmobilecomputingcrowdsourcedheterogeneous
verification ladder T0 review T1 audit T2 compute T3 formal
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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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