Hybrid Machine-Crowd Interaction for Handling Complexity: Steps Toward a Scaffolding Design Framework

作者: António Correia , Shoaib Jameel , Hugo Paredes , Benjamim Fonseca , Daniel Schneider

DOI: 10.1007/978-3-030-12334-5_5

关键词:

摘要: Much research attention on crowd work is paid to the development of solutions for enhancing microtask crowdsourcing settings. Although decomposing difficult problems into microtasks appropriate many situations, several are non-decomposable and require high levels coordination among workers. In this chapter, we aim gain a better understanding macrotask problem integration crowd-AI mechanisms solving complex tasks distributed across expert crowds machines. We also explore some design implications systems taking account their scaling abilities support in science.

参考文章(83)
Martin Schader, Stefan Seedorf, Thimo Schulze, Robert C. Nickerson, David Geiger, Managing the Crowd: Towards a Taxonomy of Crowdsourcing Processes americas conference on information systems. ,(2011)
Lars Hetmank, Components and Functions of Crowdsourcing Systems – A Systematic Literature Review Wirtschaftsinformatik und Angewandte Informatik. pp. 4- ,(2013)
Michael S. Bernstein, Jeffrey P. Bigham, Eytan Adar, Human-Computer Interaction and Collective Intelligence ,(2014)
Gianluca Demartini, Michele Catasta, Djellel Eddine Difallah, Philippe Cudré-Mauroux, Scaling-Up the Crowd: Micro-Task Pricing Schemes for Worker Retention and Latency Improvement national conference on artificial intelligence. pp. 50- 58 ,(2014)
Yolanda Gil, Haym Hirsh, Discovery Informatics: AI Opportunities in Scientific Discovery national conference on artificial intelligence. ,(2012)
David Rolnitzky, Nathan Kontny, Prayag Narula, Anand Kulkarni, Wish: Amplifying Creative Ability with Expert Crowds national conference on artificial intelligence. ,(2014)
Geoffrey Barbier, Reza Zafarani, Huiji Gao, Gabriel Fung, Huan Liu, Maximizing benefits from crowdsourced data Computational and Mathematical Organization Theory. ,vol. 18, pp. 257- 279 ,(2012) , 10.1007/S10588-012-9121-2
BENJAMIN M GOOD, MAX NANIS, CHUNLEI WU, ANDREW I SU, Microtask crowdsourcing for disease mention annotation in PubMed abstracts. pacific symposium on biocomputing. pp. 282- 293 ,(2014) , 10.1142/9789814644730_0028
Nuno Luz, Nuno Silva, Paulo Novais, A survey of task-oriented crowdsourcing Artificial Intelligence Review. ,vol. 44, pp. 187- 213 ,(2015) , 10.1007/S10462-014-9423-5