用手机AR快速评估机器人部署可行性，非专业人士也能轻松上手。
Using Mobile AR for Rapid Feasibility Analysis for Deployment of Robots: A Usability Study with Non-Expert Users
- 通过手机传感原型实现基于AR的机器人可达性分析。
- 22名非专家用户在10分钟内完成复杂场景分析，认知负荷低且参与度高。
- 适合制造业非专业人士快速评估自动化方案，降低技术门槛。
用机器人自动化生产线是一项复杂且资源密集的任务，需要深入理解自动化流程与技术工具。专家集成人员需考虑位置、负载和机器人可达范围等因素来判断自动化可行性。理想情况下，这些判断应基于部署前的详细数字仿真，但该过程往往耗时且困难。为此，我们提出一种针对非专家的简化机器人可达性可行性分析方法，并通过移动端传感原型实现。两阶段实验评估包括专家用户研究，帮助识别不同部署场景的难度并优化初始原型。随后对22名非专家参与者进行定量研究，结果显示用户可在10分钟内完成简单与复杂场景的分析，认知负荷相似且高度投入。总体表明该工具广受好评，可用性极高，为自动化可行性分析提供了新路径。
原文摘要 · Abstract (English)
Automating a production line with robotic arms is a complex, demanding task that requires not only substantial resources but also a deep understanding of the automated processes and available technologies and tools. Expert integrators must consider factors such as placement, payload, and robot reach requirements to determine the feasibility of automation. Ideally, such considerations are based on a detailed digital simulation developed before any hardware is deployed. However, this process is often time-consuming and challenging. To simplify these processes, we introduce a much simpler method for the feasibility analysis of robotic arms' reachability, designed for non-experts. We implement this method through a mobile, sensing-based prototype tool. The two-step experimental evaluation included the expert user study results, which helped us identify the difficulty levels of various deployment scenarios and refine the initial prototype. The results of the subsequent quantitative study with 22 non-expert participants utilizing both scenarios indicate that users could complete both simple and complex feasibility analyses in under ten minutes, exhibiting similar cognitive loads and high engagement. Overall, the results suggest that the tool was well-received and rated as highly usable, thereby showing a new path for changing the ease of feasibility analysis for automation.
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