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.