论文标题
增强机器人的现实附属物：最大化社会和功能感知的设计注意事项和建议
Augmented Reality Appendages for Robots: Design Considerations and Recommendations for Maximizing Social and Functional Perception
论文作者
论文摘要
为了解决物理机器人手势能力的局限性，虚拟，增强，混合现实的人类机器人互动（VAM-HRI）的研究人员一直使用增强现实性可视化，以提高机器人表现力并提高用户的看法（例如，社会存在）。尽管已经实施了多种虚拟机器人Deictic手势（例如，指向对象）来改善VAM-HRI内的交互作用，但通常据报道，这种系统在功能用户对机器人的功能和社交用户的看法之间具有折衷，从而需要对统一方法的需求，从而将两种属性都视为这两个属性。我们进行了文献分析，该分析的选定因素可显着影响用户的看法或任务效率，并提出了一组设计注意事项和建议，这些因素通过基于拟人化和非人性化的虚拟手势来解决这些因素，并基于对互动的动机，目标和机器人的互动性，目标和目标之间的可观，以及目标和距离和Rob和Rob和Rob之间的可观。提出的建议为VAM-HRI社区提供了为多种交互环境选择适当的手势类型的起点。
In order to address the limitations of gestural capabilities in physical robots, researchers in Virtual, Augmented, Mixed Reality Human-Robot Interaction (VAM-HRI) have been using augmented-reality visualizations that increase robot expressivity and improve user perception (e.g., social presence). While a multitude of virtual robot deictic gestures (e.g., pointing to an object) have been implemented to improve interactions within VAM-HRI, such systems are often reported to have tradeoffs between functional and social user perceptions of robots, creating a need for a unified approach that considers both attributes. We performed a literature analysis that selected factors that were noted to significantly influence either user perception or task efficiency and propose a set of design considerations and recommendations that address those factors by combining anthropomorphic and non-anthropomorphic virtual gestures based on the motivation of the interaction, visibility of the target and robot, salience of the target, and distance between the target and robot. The proposed recommendations provide the VAM-HRI community with starting points for selecting appropriate gesture types for a multitude of interaction contexts.
