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Mobile Services for Enhancing Human Crowdsourcing with Computing Elements

Julian Jarrett, Iman Saleh, M. Brian Blake, Sean Thorpe, Tyrone Grandison, Rohan Malcolm
2014 2014 IEEE International Conference on Mobile Services  
We propose a system, delivered as a mobile service, which dynamically adapts to the application domain and selects a combination of human and machine crowdsourcing components.  ...  Crowdsourcing enables one to leverage the power of the crowd. Normally, it involves utilizing humans for tasks that machines have difficulty performing.  ...  Based on its analysis, the elastic service passes the task to Machine Computing Elements (MCE's) or Human Computing Elements (HCE's) or both.  ... 
doi:10.1109/mobserv.2014.30 dblp:conf/mobserv/JarrettSBTGM14 fatcat:sug3kipkazh6ffikc57b6fynry

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

Jurairat Phuttharak, Seng W. Loke
2019 IEEE Access  
Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful approach incorporating human wisdom into mobile computations to solve problems while exploiting the advantages of mobility  ...  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  ...  However, implementing mobile crowdsourcing applications is still challenging. First, program design with human computation is profoundly different from traditional computer-based systems.  ... 
doi:10.1109/access.2018.2885353 fatcat:vtfbb7ydjre2rfkulrjm6ypyma

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

Kenneth Li Minn Ang, Jasmine Kah Phooi Seng, Ericmoore Ngharamike
2022 Future Internet  
Mobile crowdsourcing can be seen as a new paradigm contributing to the development of the IoT.  ...  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 presented AnonySense, a general architecture focusing on privacy-aware mobile crowdsourcing.  ... 
doi:10.3390/fi14020049 fatcat:o62tjaayyvfnjc75irzkpzu5vy

Combining Human and Machine Computing Elements for Analysis via Crowdsourcing

Brian Blake, Julian Jarrett, Iman Saleh, Rohan Malcolm, Sean Thorpe, Tyrone Grandison
2014 Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing  
Our model defines a task complexity index and an elasticity index that is used to aid in decision support for assigning tasks to respective computing elements.  ...  Experiments demonstrate that the framework can effectively optimize the use of human and machine computing elements simultaneously.  ...  There also have been several ambitious attempts to integrate human computing elements (HCE) and machine computing elements (MCE) under a uniformed service model.  ... 
doi:10.4108/icst.collaboratecom.2014.257298 dblp:conf/colcom/JarrettSBMTG14 fatcat:qwn5rkepcbedlldqu7cm5pxl7e

A crowdsourcing method for online social networks security assessment based on human-centric computing

Zhiyong Zhang, Junchang Jing, Xiaoxue Wang, Kim-Kwang Raymond Choo, Brij B. Gupta
2020 Human-Centric Computing and Information Sciences  
The human-centric computational abstraction called situation may be used to cope with these difficulties.  ...  One relatively recent trend is crowdsourcing for information, share resources, and/or to get certain tasks done, as evidenced by the increasing number and variety of crowdsourcing applications, such as  ...  ever done researching and developing on Shareteches (formerly CyVOD) in Henan International Joint Laboratory of Cyberspace Security Applications, and would also like to thank the reviewers and editor for  ... 
doi:10.1186/s13673-020-00230-0 fatcat:md7hzyy7orajna4tzwartepaty

Crowdsourced Edge: A Novel Networking Paradigm for the Collaborative Community

Stephane Kundig, Constantinos Marios Angelopoulos, Sanmukh R. Kuppannagari, Jose Rolim, Viktor K. Prasanna
2020 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)  
edge computing.  ...  We call this paradigm the Crowdsourced Edge.  ...  Community Networking Physical Proximity Storage Computing Sensing … Edge Services COMPARISON OF CROWDSOURCED EDGE COMPUTING WITH THE DOMINANT EDGE COMPUTING PARADIGMS.  ... 
doi:10.1109/dcoss49796.2020.00080 dblp:conf/dcoss/KundigAKRP20 fatcat:74c3pju7jbg5zevaxqqsejcmva

Crowd Intelligence for Sustainable Futuristic Intelligent Transportation System: A Review

Rathin Shit
2020 IET Intelligent Transport Systems  
A safe interactive system that interacts with people and things is essential to achieve these objectives.  ...  The crowd-intelligence-based mobility, traffic control, traffic prediction, parking solutions have been discussed in this survey.  ...  Mobile phone-based crowdsourcing for human mobility pattern is proposed in [135, 136] .  ... 
doi:10.1049/iet-its.2019.0321 fatcat:2krdzlefdndbxfx3uhlzexhps4

Building a Crowdsourcing based Disabled Pedestrian Level of Service routing application using Computer Vision and Machine Learning

Nicolas Blanc, Zhan Liu, Olivier Ertz, Diego Rojas, Romain Sandoz, Maria Sokhn, Jens Ingensand, Jean-Christophe Loubier
2019 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)  
Our approach intends to show how crowdsourcing techniques can improve data quality by gathering and combining up-to-date data with valuable field observations.  ...  The main topics are how to use advanced computer vision technologies, and how to benefit from the prevalence of handheld devices.  ...  [21] found that user motives can be enhanced with the integration of game elements.  ... 
doi:10.1109/ccnc.2019.8651850 dblp:conf/ccnc/BlancLERSSIL19 fatcat:flaxht5shvh3jdgzfcua7ljigy

From Participatory Sensing to Mobile Crowd Sensing [article]

Bin Guo, Zhiwen Yu, Daqing Zhang, Xingshe Zhou
2014 arXiv   pre-print
With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become  ...  A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS.  ...  With the rapid development of mobile Internet, mobile social network services that bridge the gap between online interactions and physical elements (e.g., check-in places, activities [8] , objects [9  ... 
arXiv:1401.3090v1 fatcat:zrvj4jouhbhpbcsgywzx7nokoa

A survey on game theoretical methods in Human–Machine Networks

Xueqin Liang, Zheng Yan
2017 Future generations computer systems  
In addition, it can enhance system trust and service quality in the long term.  ...  The mobile devices can provide useful that is needed by a service.  ... 
doi:10.1016/j.future.2017.10.051 fatcat:55v7cpi64ndb3apj4ngbkin5ue

An Insight into Software Crowd Sourcing: How Crowd can transform the Business Model for Technology Service Providers

Dhananjay Mehta
2014 International Journal of Computer Applications  
Crowdsourcing is a distributed computing model which enables sharing of human efforts in form of ideas, nonhierarchical decision making; utilization of human intelligence and collaboration on complex real  ...  This paper examines how software crowdsourcing can be helpful for technology service providers like IBM, TCS, Infosys, Accenture etc. and its potentials in transforming present technology outsourcing business  ...  With further research and development software crowdsourcing can be render great services and benefits alongside outsourcing for the organizations.  ... 
doi:10.5120/17742-8900 fatcat:dteodun63bdcvnw73q6nzpsjre

Mobile Crowd Sensing and Computing: When Participatory Sensing Meets Participatory Social Media [article]

Bin Guo, Chao Chen, Daqing Zhang, Zhiwen Yu, Alvin Chin
2015 arXiv   pre-print
With the development of mobile sensing and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC), which leverages heterogeneous crowdsourced data for large-scale sensing, has become  ...  media; and (2) it presents the fusion of human and machine intelligence (HMI) in both the sensing and computing process.  ...  As shown in Fig. 1 , the data is reused to enhance original services or create new services by third-parties (i.e., purpose.  ... 
arXiv:1505.00111v1 fatcat:ichiripaffcb5joqnqfedshy3a

Mobile Crowd Sensing and Computing

Bin Guo, Zhu Wang, Zhiwen Yu, Yu Wang, Neil Y. Yen, Runhe Huang, Xingshe Zhou
2015 ACM Computing Surveys  
With the surging of smartphone sensing, wireless networking, and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising paradigm for cross-space and largescale  ...  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).  ...  ACKNOWLEDGMENTS The authors would like to thank all the colleagues for their discussion and suggestions.  ... 
doi:10.1145/2794400 fatcat:lol35ouj75eplapvdod5kyy2me

Semantic Crowdsourcing of Soundscapes Heritage: A Mojo Model for Data-Driven Storytelling

Marina Eirini Stamatiadou, Iordanis Thoidis, Nikolaos Vryzas, Lazaros Vrysis, Charalampos Dimoulas
2021 Sustainability  
The current paper focuses on the development of an enhanced Mobile Journalism (MoJo) model for soundscape heritage crowdsourcing, data-driven storytelling, and management in the era of big data and the  ...  For this purpose, a pervasive computing architecture is deployed and investigated, utilizing both client- and cloud-wise semantic analysis services, to implement and evaluate the envisioned MoJo methodology  ...  Nonetheless, the main goal here is to attract mobile users for collecting and contributing semantically enhanced media assets (i.e., audiovisual records with their pattern-related metadata), equipping  ... 
doi:10.3390/su13052714 doaj:ff6654e687b84c8d97b3190f64a9fe40 fatcat:7cpbmkhuwferlk2t45actns4km

Enhancing Crowdsourced Applications via Incorporated Practice Sessions

Kinga Bettina Faragó, Zoltán Ádám Milacski, András Németh, András Lörincz
2015 European Conference on Information Retrieval  
In this paper, we suggest an upgraded crowdsourcing system design, where workers of the scheme can develop their skills by means of practicing in an embedded simulated environment.  ...  The research was performed in cooperation with the EIT ICT Labs Budapest Associate Partner Group. (  ...  Acknowledgements We would like to thank our participants for their cooperation and persistent work. We are also grateful to Tamás Tettamanti for the Vissim simulations.  ... 
dblp:conf/ecir/FaragoMNL15 fatcat:gmmooaju2je4xnwtl4xyiriomi
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