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How to crowdsource tasks truthfully without sacrificing utility: Online incentive mechanisms with budget constraint

Dong Zhao, Xiang-Yang Li, Huadong Ma
2014 IEEE INFOCOM 2014 - IEEE Conference on Computer Communications  
To achieve good service quality for a MCS application, incentive mechanisms are necessary to attract more user participation.  ...  Most of existing mechanisms apply only for the offline scenario where all users' information are known a priori.  ...  An Application Example: As illustrated in Fig. 1 , we consider the scenario where the crowdsourcer expects to obtain the sensing data covering all roads in a RoI.  ... 
doi:10.1109/infocom.2014.6848053 dblp:conf/infocom/ZhaoLM14 fatcat:sjpjt7mxkngtzgql27vtmyzgli

OMG: How Much Should I Pay Bob in Truthful Online Mobile Crowdsourced Sensing? [article]

Dong Zhao, Xiang-Yang Li, Huadong Ma
2013 arXiv   pre-print
To achieve good service quality for a MCS application, incentive mechanisms are necessary to attract more user participation.  ...  Most of existing mechanisms apply only for the offline scenario where all users' information are known a priori.  ...  An Application Example: As illustrated in Fig. 1 , we consider the scenario where the crowdsourcer expects to obtain the sensing data covering all roads in a RoI.  ... 
arXiv:1306.5677v1 fatcat:mvcqqwdi45f4bc732qcagxzx34

Budget-Feasible Online Incentive Mechanisms for Crowdsourcing Tasks Truthfully

Dong Zhao, Xiang-Yang Li, Huadong Ma
2016 IEEE/ACM Transactions on Networking  
To achieve good service quality for an MCS application, incentive mechanisms are necessary to attract more user participation.  ...  Most of existing mechanisms apply only for the offline scenario where all users report their strategic types in advance.  ...  Application Scenario Illustration: As illustrated in Fig. 1 , we consider the scenario where the crowdsourcer expects to obtain the sensing data covering all roads in an RoI.  ... 
doi:10.1109/tnet.2014.2379281 fatcat:77ivszh335c7fn4glhwsg3b3ki

Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems

Zhuojun Duan, Mingyuan Yan, Zhipeng Cai, Xiaoming Wang, Meng Han, Yingshu Li
2016 Sensors  
Two truthful auction mechanisms are proposed for different working patterns.  ...  A Vickrey-Clarke-Groves (VCG)-based auction mechanism is proposed to the continuous working pattern, and a suboptimal auction mechanism is introduced for the discontinuous working pattern.  ...  Conclusions In this paper, we investigate the incentive auction mechanisms for mobile crowdsourcing systems.  ... 
doi:10.3390/s16040481 pmid:27058541 pmcid:PMC4850995 fatcat:2lc3clcgmzbmxadppf5zocylva

Incentive Mechanisms for Time Window Dependent Tasks in Mobile Crowdsensing

Jia Xu, Jinxin Xiang, Dejun Yang
2015 IEEE Transactions on Wireless Communications  
In this paper, we focus on exploring truthful incentive mechanisms for a novel and practical scenario where the tasks are time window dependent, and the platform has strong requirement of data integrity  ...  In mobile crowdsensing applications, incentive mechanisms are necessary to stimulate more potential smartphone users and to achieve good service quality.  ...  In [27] , Feng et al. presented a truthful auction, which was formulated as winning bids determination problem, for collaborative sensing in mobile crowdsourcing.  ... 
doi:10.1109/twc.2015.2452923 fatcat:n3jtz5wq7vfc5hfjpa2eqedxh4

Crowdsourcing step-by-step information extraction to enhance existing how-to videos

Juho Kim, Phu Tran Nguyen, Sarah Weir, Philip J. Guo, Robert C. Miller, Krzysztof Z. Gajos
2014 Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14  
We evaluated the workflow with Mechanical Turk, using 75 cooking, makeup, and Photoshop videos on YouTube.  ...  To add the needed step annotations to existing how-to videos at scale, we introduce a novel crowdsourcing workflow.  ...  ACKNOWLEDGMENTS The authors would like to thank the members of the UID Group at MIT CSAIL for their feedback. This work was funded in part by Quanta Computer.  ... 
doi:10.1145/2556288.2556986 dblp:conf/chi/KimNWGMG14 fatcat:jog4bujrtrdozcd2vt2fk2r7fm

StarBorn: Towards making in‐situ land cover data generation fun with a location‐based game

Manuel F. Baer, Flurina M. Wartmann, Ross S. Purves
2019 Transactions on GIS  
We conclude that LBGs are suitable tools for generating cost-efficient in-situ land cover classifications.  ...  Results show that data are concentrated around users' daily life spaces, agreement among users is highest for urban and industry land cover, and user-generated land cover classifications exhibit high agreement  ...  Given the surge of interest in crowdsourcing land cover data, we set out to investigate the potential of an LBG with strong game play and narrative elements as a source of ground truth data for land cover  ... 
doi:10.1111/tgis.12543 fatcat:dkwgbotunjb3rbr7d5hhqse6ke

Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications

Dong Wang, Tarek Abdelzaher, Lance Kaplan, Charu C. Aggarwal
2013 2013 IEEE 33rd International Conference on Distributed Computing Systems  
This paper presents a streaming approach to solve the truth estimation problem in crowdsourcing applications.  ...  Moreover, the timescales of crowdsourcing campaigns of interest can be as small as a few hours or days, which does not offer enough history for a reputation system to converge.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
doi:10.1109/icdcs.2013.54 dblp:conf/icdcs/WangAKA13 fatcat:rmfanjwbinbhna6qhsj4gv6j4y

Community-based crowdsourcing

Marco Brambilla, Stefano Ceri, Andrea Mauri, Riccardo Volonterio
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
This paper is focused on community-based crowdsourcing applications, i.e. the ability of spawning crowdsourcing tasks upon multiple communities of performers, thus leveraging the peculiar characteristics  ...  features of the crowdsourcing task.  ...  INTRODUCTION Crowdsourcing platforms such as Amazon Mechanical Turk are a natural environment for deploying crowd-based applications, since they support the assignment to humans of simple and repeated  ... 
doi:10.1145/2567948.2578835 dblp:conf/www/BrambillaCMV14 fatcat:p5r55arwkjbfbo6ugc2bv6yzh4

Data Poisoning Attacks and Defenses to Crowdsourcing Systems [article]

Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
2021 arXiv   pre-print
Crowdsourcing aims to address this challenge via aggregating and estimating high-quality data (e.g., sentiment label for text) from pervasive clients/users.  ...  However, the security aspects of such crowdsourcing systems remain under-explored to date. We aim to bridge this gap in this work.  ...  provided by workers in many crowdsourcing applications are noisy and unreliable.  ... 
arXiv:2102.09171v2 fatcat:pedlm7664bbapc34u62xfmqnaq

Incentives for Truthful Evaluations [article]

Luca de Alfaro, Marco Faella, Vassilis Polychronopoulos, Michael Shavlovsky
2017 arXiv   pre-print
We consider crowdsourcing problems where the users are asked to provide evaluations for items; the user evaluations are then used directly, or aggregated into a consensus value.  ...  We propose incentive schemes that are truthful and cheap: truthful as the optimal user behavior consists in providing accurate evaluations, and cheap because the truthfulness is achieved with little overhead  ...  Related Work Providing incentives to human agents to return truthful responses is one of the central challenges for crowdsourcing algorithms and applications [8] .  ... 
arXiv:1608.07886v2 fatcat:ejzkigb26rfpnjoziij3y2xrsq

Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion [article]

Yasas Senarath, Saideep Nannapaneni, Hemant Purohit, Abhishek Dubey
2020 arXiv   pre-print
Thus, this paper presents a novel method for emergency incident detection using noisy crowdsourced Waze data.  ...  The application of this work provides an extensible framework to incorporate different noisy data sources for proactive incident detection to improve and optimize emergency response operations in our communities  ...  Sayyed Vazirizade from Vanderbilt University for data support and providing feedback.  ... 
arXiv:2011.05440v1 fatcat:ksntuaufr5gsxcrhb42ijy5fra

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
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.  ...  the mechanisms.  ...  are covered for various crowdsourcing [15] -Assurance of response quality with brief descriptions. applications.  ... 
arXiv:1812.02736v1 fatcat:cssquz2xljh3pjiovnbvhmqjiy

Piggyback CrowdSensing (PCS)

Nicholas D. Lane, Yohan Chon, Lin Zhou, Yongzhe Zhang, Fan Li, Dongwon Kim, Guanzhong Ding, Feng Zhao, Hojung Cha
2013 Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems - SenSys '13  
We evaluate PCS by analyzing a large-scale dataset (containing 1,320 smartphone users) and building an end-to-end crowdsourcing application that constructs an indoor WiFi localization database.  ...  Fueled by the widespread adoption of sensor-enabled smartphones, mobile crowdsourcing is an area of rapid innovation.  ...  To categorize all of the apps used in our 1320 person application trace we use the Mechanical Turk [1] .  ... 
doi:10.1145/2517351.2517372 dblp:conf/sensys/LaneCZZLKDZC13 fatcat:4gcq5cpvqbb7za7uqhpeqoqnca

Human-Machine Collaboration for Fast Land Cover Mapping

Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We implement this framework for fine-tuning high-resolution land cover segmentation models and compare human-selected points to points selected using standard active learning methods.  ...  , such as geospatial and medical image-based applications.  ...  Acknowledgements The authors thank Lucas Joppa and the Microsoft AI for Earth initiative for their support and all reviewers for their helpful comments.  ... 
doi:10.1609/aaai.v34i03.5633 fatcat:ae4ghgrn3ndb5mo4o62jj443be
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