Participants matter: Effectiveness of VR-based training on the knowledge, trust in the robot, and self-efficacy of construction workers and university students
Participants matter: Effectiveness of VR-based training on the knowledge, trust in the robot, and self-efficacy of construction workers and university students
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参与者很重要：基于 VR 的培训对建筑工人和大学生的知识、对机器人的信任以及自我效能感的有效性
DOI：
10.1016/j.aei.2022.101837
复制
发表时间：
2023
影响因子：
8.8
通讯作者：
Lucas, Gale
中科院分区：
文献类型：
--
作者：
Adami, Pooya;Singh, Rashmi;Borges Rodrigues, Patrick;Becerik-Gerber, Burcin;Soibelman, Lucio;Copur-Gencturk, Yasemin;Lucas, Gale
基于虚拟现实（VR）的培训已经引起了建筑、工程和建筑（AEC）行业科学界的关注，因为与传统培训方法（例如，亲自动手培训，学徒制）相比，虚拟现实（VR）作为一种具有成本效益和安全的方法，消除了培训期间可能给工人带来的安全风险。尽管研究人员已经为建筑工人开发了基于虚拟现实的培训，但有些人只是招募学生而不是工人来了解他们基于虚拟现实的培训的效果。然而，学生在许多方面与建筑工人不同，这可能会威胁到这些研究的有效性。因此，需要进行研究，以调查基于虚拟现实的培训研究的结果在多大程度上取决于是否使用学生或建筑工人作为研究样本。本文试图比较基于vr的培训在建筑机器人远程操作中对大学生和建筑工人的知识获取、对机器人的信任和机器人操作自我效能的效果。招募了25名建筑工人和25名建筑工程专业的研究生来完成基于vr的远程操作拆除机器人的培训。我们用定量分析来回答我们的研究问题。我们的研究表明，结果依赖于目标样本，因为学生获得了更多的知识，而建筑工人对机器人的信任程度更高，对机器人操作的自我效能感更高。这些发现表明，基于虚拟现实的培训对学生的有效性可能不一定与对建筑工人的有效性相关。
Virtual Reality (VR)-based training has gained attention from the scientific community in the Architecture, Engineering, and Construction (AEC) industry as a cost-effective and safe method that eliminates the safety risks that may impose on workers during the training compared to traditional training methods (e.g., in-person hands-on training, apprenticeship). Although researchers have developed VR-based training for construction workers, some have recruited students rather than workers to understand the effect of their VR-based training. However, students are different from construction workers in many ways, which can threaten the validity of such studies. Hence, research is needed to investigate the extent to which the findings of a VR-based training study are contingent on whether students or construction workers were used as the study sample. This paper strives to compare the effectiveness of VR-based training on university students’ and construction workers’ knowledge acquisition, trust in the robot, and robot operation self-efficacy in remote operation of a construction robot. Twenty-five construction workers and twenty-five graduate construction engineering students were recruited to complete a VR-based training for remote operating a demolition robot. We used quantitative analyses to answer our research questions. Our study shows that the results are dependent on the target sample in that students gained more knowledge, whereas construction workers gained more trust in the robot and more self-efficacy in robot operation. These findings suggest that the effectiveness of VR-based training on students may not necessarily associate with its effectiveness on construction workers.
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