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Method for Spatial Crowdsourcing Task Assignment based on Integrating of Genetic Algorithm and Ant Colony Optimization

Yang Wang, Chenxi Zhao, Shanshan Xu
2020 IEEE Access  
In this scenario, we studied the MQC-TA (Maximum Quality and Minimum Cost Task Assignment) problem. Firstly, the worker incentive model is established.  ...  The MQC-GAC algorithm is designed according to the MQC-TA problem to maximize the task completion quality and minimize the incentive budget.  ...  the development of crowdsourcing data management technology, people-oriented incentive mechanism has become an important research hotspot of data management.  ... 
doi:10.1109/access.2020.2983744 fatcat:3mh2b55ewzactg4lpjzotpvmb4

SACRM: Social Aware Crowdsourcing with Reputation Management in mobile sensing

Ju Ren, Yaoxue Zhang, Kuan Zhang, Xuemin (Sherman) Shen
2015 Computer Communications  
In this paper, we propose a Social Aware Crowdsourcing with Reputation Management (SACRM) scheme to select the well-suited participants and allocate the task rewards in mobile sensing.  ...  Specifically, we consider the social attributes, task delay and reputation in crowdsourcing and propose a participant selection scheme to choose the well-suited participants for the sensing task under  ...  ., SACRM: Social Aware Crowdsourcing with Reputation Management in mobile sensing, Comput. Commun.  ... 
doi:10.1016/j.comcom.2015.01.022 fatcat:jsty73rkczarvgpxf5577xqgua

Privacy-aware Sensing-quality based Budget Feasible Incentive Mechanism for Crowdsourcing Fingerprint Collection

Wei Li, Cheng Zhang, Yoshiaki Tanaka
2020 IEEE Access  
However, how to quantify the quality of the gathered fingerprint data is still not addressed well in the design of incentive mechanism for MCS-based fingerprint collection.  ...  Mobile crowdsourcing (MCS) has shown great potential in received signal strength (RSS) fingerprint collection, in which an incentive mechanism plays a critical role to motivate users' participation.  ...  This necessitates the need for measuring the quality of sensing data (namely ''sensing quality'') and designing a quality-based incentive mechanism for crowdsourced fingerprint collection.  ... 
doi:10.1109/access.2020.2974909 fatcat:6b5bgwkrwbfjbl66pzfst2w4qa

Exploiting mobile crowdsourcing for pervasive cloud services: challenges and solutions

Ju Ren, Yaoxue Zhang, Kuan Zhang, Xuemin Shen
2015 IEEE Communications Magazine  
Specifically, we present a social-aware task allocation scheme to address the incentive and task allocation challenges for Internet-based mobile crowdcomputing SOCIAL-AWARE TASK ALLOCATION FOR INTERNET-BASED  ...  [7] propose two incentive mechanisms, including reward-sharing and auction-based, to simulate mobile users to participate in mobile crowdsourcing.  ... 
doi:10.1109/mcom.2015.7060488 fatcat:t5t5vlmmeje3diusc3c4k7wvje

Key Research Issues and Related Technologies in Crowdsourcing Data Collection

Yunhui Li, Liang Chang, Long Li, Xuguang Bao, Tianlong Gu, Lihua Yin
2021 Wireless Communications and Mobile Computing  
In recent years, a large amount of effort has been spent on crowdsourcing in data collection, to address the challenges, including quality control, cost control, efficiency, and privacy protection.  ...  Furthermore, we review the key research topics and related technologies in its workflow, including task design, task-worker matching, response aggregation, incentive mechanism, and privacy protection.  ...  Discussion In this section, we discuss some important open problems in crowdsourcing data collection. 8.1. More Effective Incentive Mechanism.  ... 
doi:10.1155/2021/8745897 fatcat:vobajfz7i5bnnpfvx6vo2kzmxa

Bridging the Utilitarian-Hedonic Divide in Crowdsourcing Applications

Mark Melenhorst, Jasminko Novak, Isabel Micheel, Martha Larson, Martin Boeckle
2015 Proceedings of the Fourth International Workshop on Crowdsourcing for Multimedia - CrowdMM '15  
This paper introduces a novel perspective on the gamification of crowdsourcing tasks by conceptualizing it as the introduction of hedonic quality into the solution of utilitarian tasks and into the design  ...  We illustrate its application with the design of TrendRack, a gamified crowdsourcing application in the domain of fashion.  ...  ACKNOWLEDGMENTS This work has been part of the CUbRIK project, which is supported by the European Commission under grant agreement number IST-FP7-287704.  ... 
doi:10.1145/2810188.2810191 dblp:conf/mm/MelenhorstNMLB15 fatcat:i3exfqem7rbrvjem33nxm5fsoi

Decision Learning : Data analytic learning with strategic decision making

Yan Chen, Chunxiao Jiang, Chih-Yu Wang, Yang Gao, K.J. Ray Liu
2016 IEEE Signal Processing Magazine  
Such abundant and still growing real-life data, known as big data, provide a tremendous research opportunity in many fields.  ...  ith the increasing ubiquity and power of mobile devices as well as the prevalence of social systems, more activities in our daily life are being recorded, tracked, and shared, creating the notion of social  ...  In the following, we will use microtask crowdsourcing to illustrate how to design a mechanism to obtain high-quality data for data analytics.  ... 
doi:10.1109/msp.2015.2479895 fatcat:njhu7af2kbf7xlfox2vm6kabca

Crowd intelligence in AI 2.0 era

Wei Li, Wen-jun Wu, Huai-min Wang, Xue-qi Cheng, Hua-jun Chen, Zhi-hua Zhou, Rong Ding
2017 Frontiers of Information Technology & Electronic Engineering  
., crowdsourcing and human computation. Then, we introduce four categories of representative crowd intelligence platforms.  ...  In this paper, we survey existing studies of crowd intelligence.  ...  They proved that the mechanism is the uniquely incentive compatible one under the 'no free lunch' assumption.  ... 
doi:10.1631/fitee.1601859 fatcat:x6aijr7ud5eojjuelaq3sv4v7a

Mobile Crowd Sensing and Computing

Bin Guo, Zhu Wang, Zhiwen Yu, Yu Wang, Neil Y. Yen, Runhe Huang, Xingshe Zhou
2015 ACM Computing Surveys  
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.  ...  We examine the challenges such as sensing with human participation, incentive mechanisms, data selection in transient networks, data quality and data selection, and heterogeneous crowdsourced data mining  ... 
doi:10.1145/2794400 fatcat:lol35ouj75eplapvdod5kyy2me

Social Gamification in Enterprise Crowdsourcing

Gregory Afentoulidis, Zoltán Szlávik, Jie Yang, Alessandro Bozzon
2018 Proceedings of the 10th ACM Conference on Web Science - WebSci '18  
Enterprise crowdsourcing capitalises on the availability of employees for in-house data processing. Gamification techniques can help aligning employees' motivation to the crowdsourcing endeavour.  ...  By engaging the employees with a mobile crowdsourcing application, we showcase the effectiveness of competitiveness towards higher levels of engagement and quality of contributions.  ...  We apply those two aspects of social gamification on top of traditionally employed game mechanics, to study the effects of synergistic and competitive dynamics in engagement and data quality in enterprise  ... 
doi:10.1145/3201064.3201094 dblp:conf/websci/AfentoulidisS0B18 fatcat:iqzp3mbhqzc6ve3n22fu5tu22m

Incentivizing the Workers for Truth Discovery in Crowdsourcing with Copiers [article]

Lingyun Jiang, Xiaofu Niu, Jia Xu, Dejun Yang, Lijie Xu
2019 arXiv   pre-print
Crowdsourcing has become an efficient paradigm for performing large scale tasks. Truth discovery and incentive mechanism are fundamentally important for the crowdsourcing system.  ...  Many truth discovery methods and incentive mechanisms for crowdsourcing have been proposed. However, most of them cannot be applied to deal with the crowdsourcing with copiers.  ...  Quality-aware Incentive Mechanims in Crowdsourcing Aware of the importance of stimulating worker participation, various quality-aware incentive mechanisms have been proposed for mobile crowdsourcing systems  ... 
arXiv:1902.03889v1 fatcat:q5fdsxff5fczzjnzx2mycscp2a

Recommendations on adapting crowdsourcing to problem types

Mahmood Hosseini, Alimohammad Shahri, Keith Phalp, Raian Ali
2015 2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)  
In this paper, we study the adaptation of crowdsourcing settings to fit the nature of the problem being crowdsourced.  ...  While crowdsourcing has been successfully applied in several projects and de-facto platforms already exist for them, the research on engineering principles, methods and tools for developing a crowdsourcing  ...  in the quality and validity of the obtained data [13] , [14] , and studies in the legal and ethical perspectives of crowdsourcing [7] , [15] , [16] .  ... 
doi:10.1109/rcis.2015.7128904 dblp:conf/rcis/HosseiniSPA15 fatcat:rniz6ogydbdavhwdz3tmuotkny

An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions

Ying Hu, Yingjie Wang, Yingshu Li, Xiangrong Tong
2018 Sensors  
In order to avoid malicious competition and select high quality crowd workers to improve the utility of crowdsourcing system, this paper proposes an incentive mechanism based on the combination of reverse  ...  auction and multi-attribute auction in mobile crowdsourcing.  ...  Author Contributions: Y.H. and Y.W. conceived the idea, designed the experiments and wrote the paper; Y.W. and Y.L. helped with the algorithm; Y.L. and X.T. helped to analyze the experimental data.  ... 
doi:10.3390/s18103453 pmid:30322207 pmcid:PMC6210786 fatcat:nzaia5wqhne4dot6fi7jm34fwm

Special Issue on Intelligent Edge Computing for Cyber Physical and Cloud Systems

Prof. Weijia Jia, Prof. Geyong Min, Prof. Yang Xiang, Dr. Arun Kumar Sangaiah
2019 ACM Transactions on Intelligent Systems and Technology  
Systems in industrial informatics.  ...  Numerical results demonstrate that the matching algorithm in the first module can reach 95% of the exhaustive algorithm in different network scenarios and decrease the execution time by more than 90%.  ...  In this article, two incentive mechanisms, i.e., Trustworthy Incentive and Quality-aware Trustworthy Incentive Mechanisms, are proposed for motivating mobile edge users to conduct trust evaluation.  ... 
doi:10.1145/3372277 fatcat:uamjbttmsvgfpllhgadcdk75ea

Gamifying intelligent environments

Yefeng Liu, Todorka Alexandrova, Tatsuo Nakajima
2011 Proceedings of the 2011 international ACM workshop on Ubiquitous meta user interfaces - Ubi-MUI '11  
We present two case studies to better understand the effectiveness of gamifying intelligent systems: a mobile crowdsourcing application that works as image based social search across languages, called  ...  We argue that the game-based incentive methods only work with a careful design: designers should be aware that the main functionalities of the system have much greater impact than the additional gamified  ...  In this paper, we reviewed the game-based participation motivation mechanism and compared the gamification concept with other two mainstream incentives methods: economic incentives and social incentives  ... 
doi:10.1145/2072652.2072655 fatcat:2wjn5m5kj5d77ndgnnx4hkaqhy
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