DOI: 10.1073/pnas.1807190116
论文题名: Citizen science frontiers: Efficiency; engagement; and serendipitous discovery with human-machine systems
作者: Trouille L. ; Lintott C.J. ; Fortson L.F.
刊名: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
出版年: 2019
卷: 116, 期: 6 起始页码: 1902
结束页码: 1909
语种: 英语
英文关键词: Biological sciences
; Citizen science
; Human computing interaction
; Machine learning
; Physical sciences
Scopus关键词: adult
; article
; biomedicine
; human
; machine learning
; natural science
; tension
; volunteer
; biomedicine
; community participation
; comprehension
; computer analysis
; education
; methodology
; natural science
; procedures
; productivity
; questionnaire
; research
; science
; Biological Science Disciplines
; Community Participation
; Comprehension
; Computing Methodologies
; Efficiency
; Humans
; Machine Learning
; Natural Science Disciplines
; Research
; Research Design
; Science
; Surveys and Questionnaires
英文摘要: Citizen science has proved to be a unique and effective tool in helping science and society cope with the ever-growing data rates and volumes that characterize the modern research landscape. It also serves a critical role in engaging the public with research in a direct, authentic fashion and by doing so promotes a better understanding of the processes of science. To take full advantage of the onslaught of data being experienced across the disciplines, it is essential that citizen science platforms leverage the complementary strengths of humans and machines. This Perspectives piece explores the issues encountered in designing human-machine systems optimized for both efficiency and volunteer engagement, while striving to safeguard and encourage opportunities for serendipitous discovery. We discuss case studies from Zooniverse, a large online citizen science platform, and show that combining human and machine classifications can efficiently produce results superior to those of either one alone and how smart task allocation can lead to further efficiencies in the system. While these examples make clear the promise of human-machine integration within an online citizen science system, we then explore in detail how system design choices can inadvertently lower volunteer engagement, create exclusionary practices, and reduce opportunity for serendipitous discovery. Throughout we investigate the tensions that arise when designing a human-machine system serving the dual goals of carrying out research in the most efficient manner possible while empowering a broad community to authentically engage in this research. © 2019 National Academy of Sciences. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163572
Appears in Collections: 气候变化与战略
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作者单位: Trouille, L., Department of Citizen Science, Adler Planetarium, Chicago, IL 60605, United States, Center for Interdisciplinary Exploration and Research in Astrophysics, Northwestern University, Evanston, IL 60208, United States; Lintott, C.J., Department of Physics, University of Oxford, Oxford, OX1 3RH, United Kingdom; Fortson, L.F., Department of Physics and Astronomy, University of Minnesota-Twin Cities, Minneapolis, MN 55455, United States
Recommended Citation:
Trouille L.,Lintott C.J.,Fortson L.F.. Citizen science frontiers: Efficiency; engagement; and serendipitous discovery with human-machine systems[J]. Proceedings of the National Academy of Sciences of the United States of America,2019-01-01,116(6)