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Online mobile Micro-Task Allocation in spatial crowdsourcing

Yongxin Tong, Jieying She, Bolin Ding, Libin Wang, Lei Chen
2016 2016 IEEE 32nd International Conference on Data Engineering (ICDE)  
In this paper, to address the shortcomings of existing offline approaches, we first identify a more practical micro-task allocation problem, called the Global Online Microtask Allocation in spatial crowdsourcing  ...  With the rapid development of smartphones, spatial crowdsourcing platforms are getting popular. A foundational research of spatial crowdsourcing is to allocate micro-tasks to suitable crowd workers.  ...  CONCLUSION In this paper, we identify a new online micro-task allocation problem, called Global Online Micro-task Allocation in spatial crowdsourcing (GOM A).  ... 
doi:10.1109/icde.2016.7498228 dblp:conf/icde/TongSDWC16 fatcat:nakbsec2wbchtoqlkzbbc7empu

Specialty-Aware Task Assignment in Spatial Crowdsourcing [article]

Tianshu Song, Feng Zhu, Ke Xu
2018 arXiv   pre-print
In spatial crowdsourcing, spatial tasks are sent to workers based on their locations.  ...  In this paper, we study the problem of specialty-aware task assignment in spatial crowdsourcing, where each worker has fine-grained charge for each of their skills, and the goal is to maximize the total  ...  Task Assignment in Spatial Crowdsourcing The research on task assignment in spatial crowdsourcing mainly includes two parts: micro-task assignment and specialty-aware task assignment.  ... 
arXiv:1804.07550v1 fatcat:de5yzceysnfc7glvt7wfimdawq

Labor dynamics in a mobile micro-task market

Mohamed Musthag, Deepak Ganesan
2013 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13  
Mobile crowdsourcing markets are uniquely different from their online counterparts in that they require spatial mobility, and are therefore impacted by geographic factors and constraints that are not present  ...  We compare mobile and online micro-task markets, and discuss differences in demographics, data quality, and time of use, as well as similarities in super agent behavior.  ...  In this paper, we leverage a large dataset of several hundreds of thousands of mobile micro-tasks and tens of thousands of agents from a popular mobile crowdsourcing platform.  ... 
doi:10.1145/2470654.2470745 dblp:conf/chi/MusthagG13 fatcat:hb7vbet63nd45onak2j4ew3ywe

Latency-Oriented Task Completion via Spatial Crowdsourcing

Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou
2018 2018 IEEE 34th International Conference on Data Engineering (ICDE)  
We design two greedy-based algorithms with competitive ratio guarantees to solve the LTC problem in the online scenario.  ...  In this work, we define the Latency-oriented Task Completion (LTC) problem, which trades off quality and latency (number of workers) of task completion in spatial crowdsourcing.  ...  We assume a micro task requires a binary answer from workers, which is common in check-in based spatial crowdsourcing platforms such as Facebook Editor [5] .  ... 
doi:10.1109/icde.2018.00037 dblp:conf/icde/ZengTCZ18 fatcat:isc27orflvakbbebchwytiorfu

Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities [article]

Jiangtao Wang, Leye Wang, Yasha Wang, Daqing Zhang, Linghe Kong
2018 arXiv   pre-print
In this article, we specifically focus on the task allocation in MCS systems.  ...  Task allocation is a fundamental research issue in MCS, which is crucial for the efficiency and effectiveness of MCS applications.  ...  time [47, 52] . (3) Task Execution: Once receiving the assigned micro sensing tasks, the workers complete them within a pre-defined spatial-temporal scale (i.e., time duration and target region).  ... 
arXiv:1805.08418v2 fatcat:m7ajfuob6rd7hdxsejsrm5rwmu

Budget-aware Online Task Assignment in Spatial Crowdsourcing [article]

Jia-Xu Liu, Ke Xu
2018 arXiv   pre-print
In this paper, we formally define a novel problem Budget-aware Online task Assignment(BOA) in spatial crowdsourcing applications.  ...  The prevalence of mobile internet techniques stimulates the emergence of various spatial crowdsourcing applications.  ...  [4, 6, 24] focus on two-sides online assignment.  ... 
arXiv:1807.09920v1 fatcat:khj3nmeprnhzzhvnthg7lm5sai

Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey

Jiangtao Wang, Yasha Wang, Daqing Zhang, Jorge Goncalves, Denzil Ferreira, Aku Visuri, Sen Ma
2018 IEEE Transactions on Industrial Informatics  
In this article, we perform an extensive literature review of learning-assisted optimization approaches in MCS.  ...  In the end, we point out existing limitations which can inform and guide future research directions.  ...  Different from general online crowdsourcing, the truth discovery problem in MCS is more complex because of the multi-modality nature and spatial-temporal features of the sensing data, and some participant-side  ... 
doi:10.1109/tii.2018.2868703 fatcat:st5iutqs5ra6nogcmi3yozdfki

A Review of Mobile Crowdsourcing Architectures and Challenges: Toward Crowd-Empowered Internet-of-Things

Jurairat Phuttharak, Seng W. Loke
2019 IEEE Access  
In particular, with the future Internet-of-Things in view, we generalize the notion of mobile crowdsourcing to thing crowdsourcing, where crowdsourcing can be issued from smart Internet-connected things  ...  In this paper, we provide an extensive survey of the literature on mobile crowdsourcing research, highlighting the aspects of particular concerns in terms of implementation needs during the development  ...  One of the major challenges with SC is the task assignment. Tong et al. [138] categorized task assignment in spatial crowdsourcing into static (offline) and dynamic (online) scenarios.  ... 
doi:10.1109/access.2018.2885353 fatcat:vtfbb7ydjre2rfkulrjm6ypyma

The four pillars of crowdsourcing: A reference model

Mahmood Hosseini, Keith Phalp, Jacqui Taylor, Raian Ali
2014 2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)  
The taxonomy is meant to represent the different configurations of crowdsourcing in its main four pillars: the crowdsourcer, the crowd, the crowdsourced task and the crowdsourcing platform.  ...  Crowdsourcing is an emerging business model where tasks are accomplished by the general public; the crowd.  ...  This has two sides.  ... 
doi:10.1109/rcis.2014.6861072 dblp:conf/rcis/HosseiniPTA14 fatcat:sd3dwaxm2fdn3nm5prpjnbd3zq

The Literature of Crowdsourcing in China: Evidence from

Bei Wu, Tingting Wu, Qing Shan Ng
2015 International Journal of Knowledge Engineering  
In this paper, the use of (Micro-task) case to illustrate Crowdsourcing in China. was founded in January 11, 2011.  ...  Registered users need to use real identity information, so we can see micro errand user's age, gender, education, etc., and thus suitable for the task assigned to them.  ... 
doi:10.18178/ijke.2015.1.3.030 fatcat:epdbs7uwx5hxbgqkpn7xmpdmpq

Consensus-Based Group Task Assignment with Social Impact in Spatial Crowdsourcing

Xiang Li, Yan Zhao, Xiaofang Zhou, Kai Zheng
2020 Data Science and Engineering  
With the pervasiveness of GPS-enabled smart devices and increased wireless communication technologies, spatial crowdsourcing (SC) has drawn increasing attention in assigning location-sensitive tasks to  ...  In this paper, we propose a novel framework for group task assignment based on worker groups' preferences, which includes two components: social impact-based preference modeling (SIPM) and preference-aware  ...  The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material.  ... 
doi:10.1007/s41019-020-00142-0 fatcat:f32yvakdffewvbudlwpqghs6gi

Scheduling Human Intelligence Tasks in Multi-Tenant Crowd-Powered Systems

Djellel Eddine Difallah, Gianluca Demartini, Philippe Cudré-Mauroux
2016 Proceedings of the 25th International Conference on World Wide Web - WWW '16  
Micro-task crowdsourcing has become a popular approach to e↵ectively tackle complex data management problems such as data linkage, missing values, or schema matching.  ...  In this paper, we propose a new crowdsourcing system architecture that leverages scheduling algorithms to optimize task execution in a shared resources environment, in this case a crowdsourcing platform  ...  RELATED WORK Micro-task Crowdsourcing.  ... 
doi:10.1145/2872427.2883030 dblp:conf/www/DifallahDC16 fatcat:pad6kkdo4ze75ksvyqzq6fmf4y

Crowdsourced Data Management: A Survey

Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin
2016 IEEE Transactions on Knowledge and Data Engineering  
., the crowd) to apply human computation for such tasks. Thus, crowdsourced data management has become an area of increasing interest in research and industry.  ...  In this paper, we survey and synthesize a wide spectrum of existing studies on crowdsourced data management.  ...  platform, and online workers can voluntarily choose the nearby spatial tasks; (2) Server Assignment Model, where all online workers send their locations to the SC-server, and the SC-server assigns the  ... 
doi:10.1109/tkde.2016.2535242 fatcat:sit3comyvra4djqkl4xre3kj24

X-ray Imaging Analysis of Silo Flow Parameters Based on Trace Particles Using Targeted Crowdsourcing

Andrzej Romanowski, Piotr Łuczak, Krzysztof Grudzień
2019 Sensors  
We used traced particles immersed in the bulk to investigate gravitational silo flow.  ...  Therefore, we used crowdsourcing for human-driven annotation of the trace particles.  ...  Classical categorization into macro-and micro-(or sub-) tasks is a common part of crowdsourcing methods and is possible using most popular platforms [6, 7] .  ... 
doi:10.3390/s19153317 fatcat:tbzkfxlezjdfhobk6x7cehizr4

Crowdsourcing graphical perception

Jeffrey Heer, Michael Bostock
2010 Proceedings of the 28th international conference on Human factors in computing systems - CHI '10  
We replicate previous studies of spatial encoding and luminance contrast and compare our results.  ...  In this paper, we assess the viability of Amazon's Mechanical Turk as a platform for graphical perception experiments.  ...  INTRODUCTION "Crowdsourcing" is a relatively new phenomenon in which web workers complete one or more small tasks, often for micro-payments on the order of $0.01 to $0.10 per task.  ... 
doi:10.1145/1753326.1753357 dblp:conf/chi/HeerB10 fatcat:yxmuixtcpfcpjiezgu7xv6edey
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