Abstract
The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two user-participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.
| Original language | English |
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| Pages | 593-598 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2014 |
| Event | 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 - Budapest, Hungary Duration: 24 Mar 2014 → 28 Mar 2014 |
Conference
| Conference | 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 |
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| Country/Territory | Hungary |
| City | Budapest |
| Period | 24/03/14 → 28/03/14 |
Keywords
- heterogeneous/cross-space data
- Hybrid human-machine intelligence
- mobile crowd sensing
- participatory sensing