
doi: 10.1109/mitp.2015.50
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
