Journal article
Crowdsourcing, Mixed Elastic Systems and Human-Enhanced Computing-A Survey
IEEE transactions on services computing, v 11(1)
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
State-of-the-art practices have recognized the utility of leveraging human intervention as a crucial aspect of modern computing systems. The emerging crowdsourcing paradigm is based on harnessing human intelligence, effort and rational behaviors to augment computation and analysis. In addition to the crowdsourcing paradigm, new techniques have emerged that incorporate machine and human computational resources together forming a hybrid intelligence when addressing complex problems and tasks. This combined technique is particularly impactful if human and machine contributions can scale automatically in response to their respective efficiency and effectiveness when addressing subsets of a bigger problem - an approach that we have named mixed elastic systems. In this survey, we highlight state-of-the-art projects that investigate crowdsourcing, hybrid intelligence systems and mixed elastic systems. We also present a taxonomy and classification of the broader domain of human-enhanced computing systems as it assimilates crowdsourcing, hybrid intelligence, and mixed elastic systems.
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Details
- Title
- Crowdsourcing, Mixed Elastic Systems and Human-Enhanced Computing-A Survey
- Creators
- Julian Jarrett - Drexel UniversityM. Brian Blake - Drexel UniversityIman Saleh - Intel (United States)
- Publication Details
- IEEE transactions on services computing, v 11(1)
- Publisher
- IEEE
- Number of pages
- 13
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000424468400016
- Other Identifier
- 991019319095804721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Software Engineering