Building Human-Machine Intelligence in Mobile Crowd Sensing

Author

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

Author_Institution

Northwestern Polytech. Univ., Xi´an, China

Volume

17

Issue

3

fYear

2015

fDate

May-June 2015

Firstpage

46

Lastpage

52

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.

Keywords

data mining; mobile computing; outsourcing; MCSC; collective knowledge discovery paradigm; human-machine intelligence; large-scale sensing; mobile crowd sensing and computing; Collaboration; Context modeling; Crowdsensing; Human computer interaction; Internet of things; Machine intelligence; Mobile communication; Mobile handsets; collaborative sensing; human-machine intelligence; mobile crowd sensing and computing; participatory sensing;

fLanguage

English

Journal_Title

IT Professional

Publisher

ieee

ISSN

1520-9202

Type

jour

DOI

10.1109/MITP.2015.50

Filename

7116427