Title :
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
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;
Journal_Title :
IT Professional
DOI :
10.1109/MITP.2015.50
