As the use of Augmented Reality (AR) to enhance interactions between human agents and robotic systems in a work environment continues to grow, robots must communicate their intents in informative yet straightforward ways. This improves the human agent's feeling of trust and safety in the work environment while also reducing task completion time. To this end, we discuss a set of guidelines for the systematic design of AR interfaces for Human-Robot Interaction (HRI) systems. Furthermore, we develop design frameworks that would ride on these guidelines and serve as a base for researchers seeking to explore this direction further. We develop a series of designs for visually representing the robot's planned path and reactions, which we evaluate by conducting a user survey involving 14 participants. Subjects were given different design representations to review and rate based on their intuitiveness and informativeness. The collated results showed that our design representations significantly improved the participants' ease of understanding the robot's intents over the baselines for the robot's proposed navigation path, planned arm trajectory, and reactions.

翻译：随着增强现实技术在优化工作环境中人与机器人系统交互的应用日益广泛，机器人需要以信息丰富且直观的方式传达其意图。这既能提升人类操作员在工作环境中的信任感和安全性，又能缩短任务完成时间。为此，本文提出了一套面向人机交互系统增强现实界面的系统性设计准则。基于这些准则，我们开发了可作为研究者进一步探索该方向基础的设计框架。我们设计了一系列用于视觉呈现机器人规划路径与反应机制的表征方案，并通过包含14名参与者的用户调研进行评估。受试者需对不同设计表征进行评审，并依据直观性与信息丰富度进行评分。汇总结果表明，相较于基线方法，我们的设计表征显著提升了参与者理解机器人规划导航路径、预定机械臂轨迹及反应机制的便捷性。