Utilizing Text Analysis in Systematic Review Design: Perceptual and Cognitive Barriers to Adoption of Robotic and Automated Systems in Construction
Utilizing Text Analysis in Systematic Review Design: Perceptual and Cognitive Barriers to Adoption of Robotic and Automated Systems in Construction
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DOI：
10.1061/9780784483961.075
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发表时间：
2022-03
期刊：
影响因子：
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通讯作者：
Edward Seh-Taylor;Christopher McCarty;Mahya Sam;B. Franz
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文献类型：
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作者：
Edward Seh-Taylor;Christopher McCarty;Mahya Sam;B. Franz
建筑业是最后一个主要的模拟和工艺制造业，通过新的机器人和自动化系统的出现，可以在现场执行建筑任务，显示出工业化的早期迹象。虽然人们对广泛采用机器人技术所需克服的技术和经济挑战有很多了解，但对采用机器人技术的人类障碍知之甚少，而且总结得更少。考虑到现有的机器人应用程序所需的人类合作量，有必要使用系统的文献评估方法对本质上是认知或感知的障碍进行全面审查。然而，这样的审查并不容易设计。虽然可以直接从文献中查询与建筑和自动化相关的认知和感知问题，但不确定基于直接查询抽象现象（即， （可以是全面的。因此，系统地审查这一主题需要一个强大的方法来设计数据库查询。在本文中，我们使用R的quanteda包进行文本分析，以便（1）理解初始评论语料库的语言组成，以及（2）在理解的基础上设计进一步的查询，以捕获其他文章，否则不可能通过标准查询设计。研究结果表明，对系统性综述设计进行文本分析可以对综述语料库产生有价值的见解，并为捕获与综述相关的其他独特文献的查询提供信息。
Construction, the last major analog and craft manufacturing industry, is showing early signs of industrialization through the emergence of new robotic and automated systems that can perform construction tasks in situ. While much is understood about the technical and economic challenges to be overcome for widespread adoption of robotics, less is known about the human barriers to adoption, and much less is summarized. Considering the amount of human cooperation required by existing robotic applications, a comprehensive review of barriers that are cognitive or perceptual in nature using a systematic literature assessment methodology is warranted. However, such a review is not straightforward to design. While matters of cognition and perception as pertinent to construction and automation may be queried directly from the literature, there is no certainty that a review based on directly querying abstract phenomena (i.e., perception) could be comprehensive. Thus, systematically reviewing this topic calls for a robust methodology for the design of database queries. In this paper, we perform text analysis with the quanteda package for R in order to (1) understand the language composition of an initial review corpus, and (2) with that understanding design further queries to capture additional articles otherwise not possible through standard query design. Findings indicate that performing text analysis on a systematic review design can produce valuable insight into a review corpus and inform queries that capture additional unique literature relevant to the review.