Automation, Research Technology, and Researchers' Trajectories: Evidence from Computer Science and Electrical Engineering
Automation, Research Technology, and Researchers' Trajectories: Evidence from Computer Science and Electrical Engineering
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DOI：
10.1287/orsc.2019.1308
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发表时间：
2020-03-01
影响因子：
4.1
通讯作者：
Teodoridis, Florenta
中科院分区：
文献类型：
--
作者：
Furman, Jeffrey L.;Teodoridis, Florenta
Y我们考察了一项自动化研究任务的技术的引入如何影响研究人员知识生产的速度和类型。为了做到这一点，我们利用了由于微软Kinect系统的引入和随后的黑客攻击而出现的自动化运动传感研究技术的意外到来。为了估计这项技术是否会导致所产生的知识类型的变化，我们使用了基于机器学习(主题建模)技术的新方法和基于文献计量指标的传统方法。我们的分析表明，与Kinect的引入相关的冲击增加了想法的产生，并诱导研究人员追求比原始轨迹更多样化和更远的想法。我们发现，在Kinect休克之前已经在运动感知研究中发表文章的研究人员(区域内研究人员)和那些没有发表研究成果的研究人员(区域外研究人员)都是如此，并且在区域外研究人员中效果更强。
Y We examine how the introduction of a technology that automates research tasks influences the rate and type of researchers' knowledge production. To do this, we leverage the unanticipated arrival of an automating motion-sensing research technology that occurred as a consequence of the introduction and subsequent hacking of the Microsoft Kinect system. To estimate whether this technology induces changes in the type of knowledge produced, we employ novel measures based on machine learning (topic modeling) techniques and traditional measures based on bibliometric indicators. Our analysis demonstrates that the shock associated with the introduction of Kinect increased the production of ideas and induced researchers to pursue ideas more diverse than and distant from their original trajectories. We find that this holds for both researchers who had published in motion-sensing research prior to the Kinect shock (within-area researchers) and those who did not (outside-area researchers), with the effects being stronger among outside-area researchers.