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.

本研究提出了基于移动感知和移动社交网络的移动群体感知（MCS）系统，旨在探讨人机智能在 MCS 中的潜力融合，该系统与参与型感知类似，但包含隐式和显式参与，并从移动社交网络和移动感知两个用户数据源中收集数据。未来的研究方向包括 MCS 中新型数据源的整合和如何让 MCS 更好地服务社会公众。