Gravity Spy: Humans, Machines and The Future of Citizen Science

Gravity Spy: Humans, Machines and The Future of Citizen Science
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重力间谍:人类、机器和公民科学的未来

DOI:
10.1145/3022198.3026329
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发表时间:
2017
期刊:
Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
影响因子:
--
通讯作者:
Crowston, Kevin
Crowston, Kevin
中科院分区:
--
文献类型:
--
作者:
Crowston, Kevin

文献摘要

被引文献

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Gravity Spy是一个公民科学项目,利用人类和机器的贡献来实现其科学目标。该系统通过对干扰观测的“毛刺”进行分类,支持激光干涉引力观测站(LIGO)。该系统在当前最先进的技术水平上取得了三项进步:对新志愿者的明确培训,机器和人类分类之间的协同作用以及对发现新类别故障的支持。此外,它还为以人为本的计算研究提供了一个平台,涉及动机、学习和协作。该系统已经启动,目前正在运行。
Gravity Spy is a citizen science project that draws on the contributions of both humans and machines to achieve its scientific goals. The system supports the Laser Interferometer Gravitational Observatory (LIGO) by classifying "glitches" that interfere with observations. The system makes three advances on the current state of the art: explicit training for new volunteers, synergy between machine and human classification and support for discovery of new classes of glitch. As well, it provides a platform for human-centred computing research on motivation, learning and collaboration. The system has been launched and is currently in operation.