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PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-sourcing.

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High-Throughput Reliable Multicast in Multi-Hop Wireless Mesh Networks., , , , and . IEEE Trans. Mob. Comput., 14 (4): 728-741 (2015)TODMIS: mining communities from trajectories., , , , and . CIKM, page 2109-2118. ACM, (2013)Indoor Location Error-Detection via Crowdsourced Multi-Dimensional Mobile Data., and . MobiData@MobiSys, page 19-24. ACM, (2016)Predicting bottleneck bandwidth sharing by generalized TCP flows., , and . Comput. Networks, 40 (4): 557-576 (2002)A comparison of mobility protocols for quasi-dynamic networks., , , and . WCNC, page 1569-1574. IEEE, (2000)LiveLabs: building an in-situ real-time mobile experimentation testbed., , and . HotMobile, page 14:1-14:6. ACM, (2014)Need accurate user behaviour?: pay attention to groups!, , , and . UbiComp, page 855-866. ACM, (2015)Adaptive data acquisition strategies for energy-efficient, smartphone-based, continuous processing of sensor streams., , and . Distributed Parallel Databases, 31 (2): 321-351 (2013)LiveLabs: initial reflections on building a large-scale mobile behavioral experimentation testbed., and . ACM SIGMOBILE Mob. Comput. Commun. Rev., 17 (4): 47-59 (2013)Information-theory based optimal location management schemes for integrated multi-system wireless networks., , and . IEEE/ACM Trans. Netw., 16 (3): 525-538 (2008)