Building human-machine intelligence in mobile crowd sensing

Bin Guo; Chao Chen; Zhiwen Yu; Daqing Zhang; Xingshe Zhou

doi:10.1109/MITP.2015.50

Building human-machine intelligence in mobile crowd sensing

Bin Guo, Chao Chen, Zhiwen Yu, Daqing Zhang, Xingshe Zhou

School of Computer Science

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

Mobile crowd sensing and computing (MCSC) is a large-scale sensing and collective knowledge discovery paradigm that fuses human and machine intelligence. This article describes the content of human and machine intelligence, their complementary roles, and their potential collaboration modes in MCSC. The authors also discuss the challenges that arise from using human intelligence in MCSC systems. They further present several applications to demonstrate the power and usage of human-machine intelligence in MCSC.

Original language	English
Article number	7116427
Pages (from-to)	46-52
Number of pages	7
Journal	IT Professional
Volume	17
Issue number	3
DOIs	https://doi.org/10.1109/MITP.2015.50
State	Published - 1 May 2015

Keywords

collaborative sensing
human-machine intelligence
mobile crowd sensing and computing
participatory sensing

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Building human-machine intelligence in mobile crowd sensing

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Keywords

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