Zhang Vicky, Albers Alexander, Saeedi-Givi Christine, Kristensson Per Ola, Bohne Thomas, Tadeja Slawomir
IEEE Trans Vis Comput Graph. 2024 Nov;30(11):7042-7052. doi: 10.1109/TVCG.2024.3456208. Epub 2024 Oct 10.
Numerous prior studies have investigated real-time assembly instructions using Augmented Reality (AR). However, most such experiments were conducted in laboratory settings with simplistic assembly tasks, failing to represent real-world industrial conditions. To ascertain to what extent results obtained in a laboratory environment may differ from studies in actual industrial environments, we carried out a user study with 32 manufacturing apprentices. We compared assembly task execution results in two settings, a classroom and an industrial workshop environment. To facilitate the experiments, we developed AR-guided manual assembly systems for simple and more complex assets. Our findings reveal a significantly improved task performance in the industrial workshop, reflected in faster task completion times, fewer errors, and subjectively perceived higher flow. This contradicted participants' subjective ratings, as they expected to perform better in the classroom environment. Our results suggest that the actual manufacturing environment is critical in evaluating AR systems for real-world industrial applications.
此前已有众多研究对使用增强现实(AR)的实时装配指令进行了调查。然而,大多数此类实验是在实验室环境中进行的,装配任务过于简单,无法代表现实世界的工业状况。为了确定在实验室环境中获得的结果与实际工业环境中的研究结果可能存在多大差异,我们对32名制造业学徒进行了一项用户研究。我们比较了在两种环境下的装配任务执行结果,即教室环境和工业车间环境。为便于进行实验,我们为简单和更复杂的资产开发了AR引导的手动装配系统。我们的研究结果显示,在工业车间中任务表现有显著改善,表现为任务完成时间更快、错误更少,以及主观感受到更高的心流体验。这与参与者的主观评分相矛盾,因为他们原本期望在教室环境中表现得更好。我们的结果表明,实际制造环境对于评估用于现实世界工业应用的AR系统至关重要。