说明清楚吗?评估用于远程制导的增强现实内容的视觉特性

Bernardo Marques, Carlos Ferreira, S. Silva, Andreia Santos, Paulo Dias, B. Santos
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引用次数: 4

摘要

随着工业4.0的形成,增强现实(AR)解决方案正在多种应用场景中出现。特别是,对于远程协作,可以使用灵活的机制(如创作工具)来生成指令,并在人工操作员在日常任务中遇到日益复杂的情况时提供帮助。除了确保指令可以直观地创建而无需理解复杂的AR概念的传统障碍之外,另一个相关主题是在所述指令的质量在评估工具之前没有得到适当的分析。这意味着视觉内容的特征事先没有得到充分的评估。因此,有必要了解与AR指令相关的认知工作量,以确定它们在部署到实际场景之前是否容易理解和接受。为了解决这个问题,我们在远程指导会议期间重点关注AR。基于与行业领域专家的参与式过程,开发了基于ar的指令创建原型,并进行了两部分的用户研究:(1)首先,制作了一组分步指令,并由129名参与者基于一组相关维度评估其视觉特征;(2)之后,9名参与者使用这些指令来了解它们是否可以在现实生活中的远程维护任务中用于协助现场合作者。结果表明,增强现实指令提供了较低的视觉复杂性和可观的视觉冲击、清晰度和定向焦点,从而提高了情境理解和促进任务解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are the Instructions Clear? Evaluating the Visual Characteristics of Augmented Reality Content for Remote Guidance
Augmented Reality (AR) solutions are emerging in multiple scenarios of application as Industry 4.0 takes shape. In particular, for remote collaboration, flexible mechanisms such as authoring tools can be used to generate instructions and assist human operators as they experience increased complexity in their daily tasks. In addition to the traditional handicap of ensuring instructions can be intuitively created without having to understand complicated AR concepts, another relevant topic is the fact that the quality of said instructions is not properly analyzed prior to the tools being evaluated. This means that the characteristics of the visual content are not adequately assessed beforehand. Hence, it is essential to be aware of the cognitive workload associated with AR instructions to assert if they can be easily understood and accepted before being deployed in real-world scenarios. To address this, we focused on AR during sessions of remote guidance. Based on a participatory process with domain experts from the industry sector, a prototype for creating AR-based instructions was developed, and a user study with two parts was conducted: (1) first, a set of step-by-step instructions was produced, and their visual characteristics were evaluated by 129 participants based on a set of relevant dimensions; (2) afterward, these instructions were used by nine participants to understand if they could be used to assist on-site collaborators during real-life remote maintenance tasks. The results suggest that the AR instructions offer low visual complexity and considerable visual impact, clarity, and directed focus, thus improving situational understanding and promoting task resolution.
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