1 Mobile Crowd Sensing and Computing : The Review of an Emergin g Human-Powered Sensing Paradigm
1 Mobile Crowd Sensing and Computing : The Review of an Emergin g Human-Powered Sensing Paradigm
复制标题
DOI：
--
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Bin Guo
中科院分区：
文献类型：
--
作者：
Bin Guo
随着智能手机感知、无线网络和移动社交网络技术的兴起，移动人群感知和计算(MCSC)已经成为跨空间大规模感知的一种很有前途的范例。MCSC通过利用来自移动设备的参与式感知数据(离线)和来自移动社交网络服务的用户贡献的数据(在线)，扩展了参与式传感的愿景。此外，它还探索了相互补充的作用，并展示了机器和人类智能在人群感知和计算过程中的融合/协作。分析了MCSC的特点和新的应用领域，提出了构建人在环MCSC系统的参考框架。我们进一步阐明了人和机器智能的互补性，并展望了深度融合的人机系统的潜力。最后，我们讨论了MCSC的局限性、存在的问题和研究机会。
With the surging of smartphone sensing, wireless networking, and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising paradigm for cross-space and largescale sensing. MCSC extends the vision of participatory sensing by leveraging both participatory sensory data from mobile devices (offline) and user-contributed data from mobile social networking services (online). Further, it explores the complementary roles and presents the fusion/collaboration of machine and human intelligence in the crowd sensing and computing processes. This paper characterizes the unique features and novel application areas of MCSC, and proposes a reference framework for building human-in-the-loop MCSC systems. We further clarify the complementary nature of human and machine intelligence and envision the potentials of deep-fused human-machine systems. We conclude by discussing the limitations, open issues, and research opportunities of MCSC.