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Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing [article]

Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang
2018 arXiv   pre-print
In this paper, we propose a novel inference aided reinforcement mechanism that learns to incentivize high-quality data sequentially and requires no such prior assumptions.  ...  Incentive mechanisms for crowdsourcing are designed to incentivize financially self-interested workers to generate and report high-quality labels.  ...  The authors also thank Anxiang Zeng from Alibaba Group for valuable discussions.  ... 
arXiv:1806.00206v1 fatcat:nvv6cao6pnfalduplw6qyirxoq

Incentivizing an Unknown Crowd [article]

Jing Dong, Shuai Li, Baoxiang Wang
2021 arXiv   pre-print
Motivated by the common strategic activities in crowdsourcing labeling, we study the problem of sequential eliciting information without verification (EIWV) for workers with a heterogeneous and unknown  ...  We propose a reinforcement learning-based approach that is effective against a wide range of settings including potential irrationality and collusion among workers.  ...  In this paper, we focus on the modeling and empirical performance of EIWV and propose a reinforcement learning approach to design an adaptive and effective incentive mechanism.  ... 
arXiv:2109.04226v1 fatcat:bvu6ji2w4bealkpgeumwgwtg5y

A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities

Shiting Zhao, Guozi Qi, Tengjiao He, Jinpeng Chen, Zhiquan Liu, Kaimin Wei
2022 IEEE Open Journal of the Computer Society  
INDEX TERMS Sparse mobile crowdsensing, participant recruitment, privacy protection, incentive mechanism.  ...  It intelligently selects only a tiny portion of the target regions for sensing and accurately infers the data for the remaining unsensed areas.  ...  [45] considered the collaborative compatibility of participants for multiple collaborative tasks and designed an incentive mechanism for multi-task collaboration that allows each collaborative activity  ... 
doi:10.1109/ojcs.2022.3177290 fatcat:gs5npdb3dne57ob2lksjzd7wni

A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control [article]

Yuan Jin and Mark Carman and Ye Zhu and Yong Xiang
2018 arXiv   pre-print
However, it is also known to result in large variance in the quality of recorded responses which often cannot be directly used for training machine learning systems.  ...  Such work is referred to as the quality control for crowdsourcing. Past quality control research can be divided into two major branches: quality control mechanism design and statistical models.  ...  Incentive Mechanisms Based on Monetary Payment Monetary payments in crowdsourcing involve two types: base payments and bonus payments.  ... 
arXiv:1812.02736v1 fatcat:cssquz2xljh3pjiovnbvhmqjiy

Table of Contents

2020 IEEE Transactions on Vehicular Technology  
Ansari 5562 Promoting Users' Participation in Mobile Crowdsourcing: A Distributed Truthful Incentive Mechanism (DTIM) Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Zhang 5426 Reinforcement Learning Based Cooperative Coded Caching Under Dynamic Popularities in Ultra-Dense Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tvt.2020.2983629 fatcat:h564pelclramxfgolak4dywk3e

Guest Editorial Special Issue on Internet-of-Things for Smart Cities

Jia Hu, Kun Yang, Sergio Toral Marin, Hamid Sharif
2018 IEEE Internet of Things Journal  
The paper entitled "An Incentive Mechanism for Crowdsensing Markets With Multiple Crowdsourcers" proposes an incentive mechanism for crowdsensing with multiple crowdsourcers.  ...  to the supervised deep reinforcement learning model.  ... 
doi:10.1109/jiot.2018.2792885 fatcat:xkahwqy22rharmsdusz2n4kowi

Beyond monetary incentives: experiments in paid microtask contests modelled as continuous-time markov chains [article]

Oluwaseyi Feyisetan, Elena Simperl
2019 arXiv   pre-print
Our analysis focuses on a particular type of incentive, contests, as a means to apply crowdsourcing in near-real-time scenarios, in which requesters need labels quickly.  ...  Overall, the experiments shed light on possible design improvements of paid microtasks platforms to boost task performance and speed, and make the overall experience more fair and interesting for crowd  ...  We would also like to acknowledge Karen Hovsepian for all the helpful conversations.  ... 
arXiv:1901.05670v1 fatcat:2yatnlstarh5jpdsn4mpba4f4u

Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications

Kenneth Li Minn Ang, Jasmine Kah Phooi Seng, Ericmoore Ngharamike
2022 Future Internet  
They can be merged to form a new and essential platform in crowdsourcing IoT paradigm for data collection from different sources and communication mediums.  ...  Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices.  ...  The authors designed and implemented Medusa, which is a novel programming framework to provide high-level abstractions for specifying the steps for a crowd-sensing task. Medusa  ... 
doi:10.3390/fi14020049 fatcat:o62tjaayyvfnjc75irzkpzu5vy

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe, T.R.,  ...  ., JIoT July 2020 6457-6480 Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks.  ...  ., +, JIoT Aug. 2020 7220-7233 Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

Designing Organizations for Dynamic Capabilities

Teppo Felin, Thomas C. Powell
2016 California Management Review  
We examine new design principles -such as polyarchy, social proofs, and new forms of open organization -that allow organizations to build dynamic capabilities for sustained innovation in dynamic environments  ...  We focus on the power of organizational design, showing how managers can harness new organizational forms to build a capacity for sensing, shaping and seizing opportunities.  ...  There are other streams of research on capabilities -for example, capabilities for product development.  ... 
doi:10.1525/cmr.2016.58.4.78 fatcat:2kae62pjirciteniqw7g744t34

An interdisciplinary perspective on gamification: Mechanics, psychological mediators and outcomes

Miralem Helmefalk
2019 International Journal of Serious Games  
Furthermore, this research contributes to this rather eclectic domain, presenting a more categorized view in showing domain-specific mechanics and how these can be employed for empirical testing.  ...  These are mechanics, mental mediators and desired outcomes.  ...  To illustrate the model, for example in educational learning settings, there are mechanics that fit more or less together in these contexts (see table 1 for inspiration).  ... 
doi:10.17083/ijsg.v6i1.262 fatcat:fzur3cehp5cb3ll3fltzsdsevy

Understanding Malicious Behavior in Crowdsourcing Platforms

Ujwal Gadiraju, Ricardo Kawase, Stefan Dietze, Gianluca Demartini
2015 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15  
With the evergrowing worker base that aims to complete microtasks on crowdsourcing platforms in exchange for financial gains, there is a need for stringent mechanisms to prevent exploitation of deployed  ...  the efficient design of crowdsourced surveys.  ...  mechanisms in place.  ... 
doi:10.1145/2702123.2702443 dblp:conf/chi/GadirajuKDD15 fatcat:lmwjvplhd5a2firegbwrkxpona

2020 Index IEEE Journal on Selected Areas in Communications Vol. 38

2020 IEEE Journal on Selected Areas in Communications  
., +, J-SAC May 2020 885-898 Inference mechanisms A Cross-Layer Trust Evaluation Protocol for Secured Routing in Communication Network of Smart Grid.  ...  ., +, J-SAC May 2020 968-979 Reinforcement Learning-Based Control and Networking Co-Design for Industrial Internet of Things.  ...  Unsupervised learning Robust  ... 
doi:10.1109/jsac.2020.3040054 fatcat:amlms4xhs5a3hgnldh4bahb2wu

Exploring the use of an aerial robot to guide blind runners

Eelke Folmer
2015 ACM SIGACCESS Accessibility and Computing  
We are able to improve upon the fast speeds and quality answers achieved in VizWiz Social by combining friendsourcing and crowdsourcing, while preserving anonymity and getting answers for free.  ...  Though reducing health disparities for individuals with disabilities was identified as a research priority more than a decade ago, little progress has been made so far.  ...  We also want to thank neuropediatricians from Centre de Ressource Autisme of Bordeaux for their precious help and French Education Ministery for opening access to classrooms and supporting this project  ... 
doi:10.1145/2809915.2809916 fatcat:7fnmvhxkbzbgld65z5uwpsrc5u

Helping Yourself or Others? Motivation Dynamics for High-Performing Volunteers in GLAM Crowdsourcing

Sultana Lubna Alam, Ruonan Sun, John Campbell
2020 Australasian Journal of Information Systems  
Our findings offer implications for CS system design (e.g., user profiles, tagging and commenting), incentive structure (e.g., reputation-based ranking, leader boards), and relational mechanisms (e.g.,  ...  While most crowdsourcing (CS) cases in the literature focus on commercial organisations, little is known about volunteers' motivation of initial and continued participation in not-for-profit CS projects  ...  A major theme throughout his research work is how users interact through information systems in the social world and, in particular, the ways in which organizational decision-making and community interaction  ... 
doi:10.3127/ajis.v24i0.2599 fatcat:7sipqktvevhtvab3n2agklxzwy
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