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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  
Experiments demonstrate that the framework can effectively optimize the use of human and machine computing elements simultaneously.  ...  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.  ...  In this paper, we aim at finding the optimal interplay between machine computing elements (MCEs) and human computing elements (HCEs).  ... 
doi:10.4108/icst.collaboratecom.2014.257298 dblp:conf/colcom/JarrettSBMTG14 fatcat:qwn5rkepcbedlldqu7cm5pxl7e

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.  ...  We propose a performance model that predicts both human and machine outcomes for a certain task and then optimizes task assignment accordingly.  ...  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

Complementing Solutions to Optimization Problems via Crowdsourcing on Video Game Plays

Mariano Vargas-Santiago, Raúl Monroy, José Emmanuel Ramirez-Marquez, Chi Zhang, Diana A. Leon-Velasco, Huaxing Zhu
2020 Applied Sciences  
Leveraging human insight and intuition has been identified as having the potential for the improvement of traditional algorithmic methods.  ...  by crowdsourcing novel solutions found by humans playing a video game.  ...  In human-based computation, humans and computers can take two roles, selector or innovator.  ... 
doi:10.3390/app10238410 fatcat:u6w5uff3fnff7ezvzmsrqpfu7y

How to Use Crowdsourcing Effectively: Guidelines and Examples

Elena Simperl
2015 Liber Quarterly: The Journal of European Research Libraries  
into social machines in which tasks are performed as optimal combinations of human and computational intelligence.  ...  We introduce a framework for the analysis of the most important building blocks of such systems, as well as design and participation best practices that should guide their development.  ...  Ideally we are aiming at systems combining both crowd and machine intelligence, which some call social machines; they leverage the best attributes of human capabilities and computing technologies to realize  ... 
doi:10.18352/lq.9948 fatcat:35rkj2im5ncobdm652kef4xr6m

Crowdsourcing and the Semantic Web: A Research Manifesto

Cristina Sarasua, Elena Simperl, Natasha F. Noy, Abraham Bernstein, Jan Marco Leimeister
2015 Human Computation  
Second, we look at the ways in which machine-processable semantics can benefit the design and management of crowdsourcing projects.  ...  Second, we look at the ways in which machine-processable semantics can benefit the design and management of crowdsourcing projects.  ...  the synergies between these two topics and discuss directions for future research.  ... 
doi:10.15346/hc.v2i1.2 dblp:journals/hc/SarasuaSNBL15 fatcat:khohzcitmvdxvgyeahp66f7gry

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Nicolas Rey, Julien Briant, Pauline Millet, Friedrich Reinhard, Matthew Parkan, Stéphane Joost
2016 Big Data  
The results suggest that the platform we have developed to combine crowdsourcing and machine learning to make sense of large volumes of aerial images can be used for disaster response.  ...  The purpose of this article is to get ahead of this future challenge by proposing a hybrid crowdsourcing and real-time machine learning solution to rapidly process large volumes of aerial data for disaster  ...  Image Machine Learning and Crowdsourcing The section ''Combining Human and Machine Intelligence for Processing Disaster-Related Microblog Messages'' demonstrated that a hybrid human computing and machine  ... 
doi:10.1089/big.2014.0064 pmid:27441584 fatcat:mrk6ixmpyfhz3d4x7isvq7os6e

Towards a classification framework for social machines

Nigel R. Shadbolt, Daniel A. Smith, Elena Simperl, Max Van Kleek, Yang Yang, Wendy Hall
2013 Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion  
The state of the art in human interaction with computational systems blurs the line between computations performed by machine logic and algorithms, and those that result from input by humans, arising from  ...  Our future work will seek to elicit additional opinions, classifications and validation from a wider audience, to produce a comprehensive framework for the description, analysis and comparison of social  ...  social machines via repertory grid analysis.  ... 
doi:10.1145/2487788.2488078 dblp:conf/www/ShadboltSSKYH13 fatcat:fyuv6zhjfzbl3l62ljzm5644kq

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

Jurairat Phuttharak, Seng W. Loke
2019 IEEE Access  
We also provide a critical analysis of some challenges and suggest directions for future work.  ...  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  ...  Considerations with machines crowdsourcing tasks to other machines (or humans) are similar to that in humans crowdsourcing tasks to others.  ... 
doi:10.1109/access.2018.2885353 fatcat:vtfbb7ydjre2rfkulrjm6ypyma

Investigation and analysis on crowdsourcing for improving enterprise QoS

S. Remya, R. Sasikala
2021 International Journal of Information Technology and Management  
The survey helps to analyse the various issues in crowdsourcing and existing proposed solutions for improving the quality of workers.  ...  Crowdsourcing is treated as open contest for the crowd of people known as workers. All workers can contribute their suggestions and solutions to the platform.  ...  In machine based technique (Sarawagi and Bhamidipaty, 2002) a hybrid human machine system is developed by combining human and machine based techniques.  ... 
doi:10.1504/ijitm.2021.114153 fatcat:ipnkbjh2g5ha7kbwwvahmm2vlm

Enabling Digital Health by Automatic Classification of Short Messages [article]

Muhammad Imran, Patrick Meier, Carlos Castillo, Andre Lesa, Manuel Garcia Herranz
2016 arXiv   pre-print
We employ a hybrid approach, which combines human and machine intelligence that seeks to resolve the information overload issue by introducing processing of large-scale data at high-speed while maintaining  ...  The system has recently been tested in conjunction with UNICEF in Zambia to classify short messages received via the U-Report platform on various health related issues.  ...  CONCLUSIONS & FUTURE WORK In this paper, we presented a hybrid system that combines human and machine computation elements to classify stream of SMS messages into different categories.  ... 
arXiv:1602.08423v1 fatcat:cjaifkd4sfbpnmqihz4ncbjgeq

Automatic Identification of Political Ideology in Online News Articles

Vikki FIORE
2019 Zenodo  
Linguistic features related to lexical richness are extracted from the articles via Python, and features related to emotions and values are extracted via the Linguistic Inquiry and Word Count software.  ...  KEYWORDS: text analysis, natural language processing, applied linguistics, politics, bias detection, machine learning, artificial intelligence  ...  Various methods exist to create these models, including crowdsourcing, sentiment analysis, and machine learning techniques such as neural networks.  ... 
doi:10.5281/zenodo.3549475 fatcat:qjsr7ewjlbbzplaiqnd2krzwtq

A Taxonomic Framework for Social Machines [chapter]

Paul Smart, Elena Simperl, Nigel Shadbolt
2014 Social Collective Intelligence  
social participation system; for example, human computation systems and collective intelligence systems.  ...  Social machines are typically presented as systems that combine some form of social participation with conventional forms of machine-based 'computation'.  ...  The lack of a definition also complicates the effort to distinguish social machines from ostensibly similar systems, such as social computing, human computation, crowdsourcing and collective intelligence  ... 
doi:10.1007/978-3-319-08681-1_3 fatcat:5koggl6ltjehvf4ocrtgfljt5m

Enabling Digital Health by Automatic Classification of Short Messages

Muhammad Imran, Patrick Meier, Carlos Castillo, Andre Lesa, Manuel Garcia Herranz
2016 Proceedings of the 6th International Conference on Digital Health Conference - DH '16  
We employ a hybrid approach, which combines human and machine intelligence that seeks to resolve the information overload issue by introducing processing of large-scale data at high-speed while maintaining  ...  The system has recently been tested in conjunction with UNICEF in Zambia to classify short messages received via the U-Report platform on various health related issues.  ...  CONCLUSIONS & FUTURE WORK In this paper, we presented a hybrid system that combines human and machine computation elements to classify stream of SMS messages into different categories.  ... 
doi:10.1145/2896338.2896364 dblp:conf/ehealth/ImranMCLH16 fatcat:fwvegc6mprfyvmkb4pxasrjdzq

Hippocampus

Michele Catasta, Alberto Tonon, Djellel Eddine Difallah, Gianluca Demartini, Karl Aberer, Philippe Cudre-Mauroux
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
We experimentally compare our proposed approach against a set of advanced search techniques including the use of Machine Learning methods over the Web of Data, online Social Networks, and Human Computation  ...  Neither Web search nor structured queries can effectively answer this type of queries, even when supported by Human Computation solutions.  ...  Furthermore, we thank Armin Haller for providing the ground truth of ISWC2013.  ... 
doi:10.1145/2567948.2576946 dblp:conf/www/CatastaTDDAC14 fatcat:ttxevptvyzezbcfcpuxhnegipy

Engineering Crowdsourced Stream Processing Systems [article]

Muhammad Imran, Ioanna Lykourentzou, Yannick Naudet, Carlos Castillo
2014 arXiv   pre-print
Engineering a CSP system requires the combination of human and machine computation elements.  ...  In this paper, we position CSP systems within a broader taxonomy, outline a series of design principles and evaluation metrics, present an extensible framework for their design, and describe several design  ...  Acknowledgements Imran et al. 27 The authors would like to thank Jakob Rogstadius and Ji Kim Lucas for their contributions in the development of AIDR.  ... 
arXiv:1310.5463v3 fatcat:b4t34p7b5jcnzb42mkmtg45zuu
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