Augmented Reality Appendages for Robots: Design Considerations and Recommendations for Maximizing Social and Functional Perception
Augmented Reality Appendages for Robots: Design Considerations and Recommendations for Maximizing Social and Functional Perception
复制标题
机器人的增强现实附件：最大化社交和功能感知的设计考虑因素和建议
DOI：
10.48550/arxiv.2205.06747
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
M. Matarić
中科院分区：
文献类型：
--
作者：
Ipek Goktan;Karen Ly;T. Groechel;M. Matarić
为了解决物理机器人手势能力的局限性，虚拟、增强、混合现实人机交互（VAM-HRI）领域的研究人员一直在使用增强现实可视化来提高机器人表达能力并改善用户感知（例如社交存在感）。虽然已经实现了多种虚拟机器人指示手势（例如指向某个物体）来改善 VAM-HRI 内的交互，但据报道，此类系统通常在机器人的功能和社交用户感知之间进行权衡，因此需要一种考虑这两个属性的统一方法。我们进行了文献分析，选择了显着影响用户感知或任务效率的因素，并提出了一系列设计考虑因素和建议，通过基于交互动机、目标和机器人的可见性、目标的显着性以及目标和机器人之间的距离，结合拟人化和非拟人化的虚拟手势来解决这些因素。所提出的建议为 VAM-HRI 社区提供了为多种交互环境选择适当手势类型的起点。
—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.
使用混合现实来补充手势受限的机器人时，有效性和社会感知之间的权衡
DOI：
10.31219/osf.io/ye2w5
发表时间：
2020
期刊：
and Mixed Reality for Human-Robot Interaction
影响因子：
--
作者：
Hamilton, Jared;Tran, Nhan;Williams, Tom
通讯作者：
Williams, Tom
DOI：
10.1145/3434074.3447199
发表时间：
2021
期刊：
ACM/IEEE International Conference on Human-Robot Interaction
影响因子：
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作者：
Stogsdill, Adam;Clark, Grace;Ranucci, Aly;Phung, Thao;Williams, Tom
通讯作者：
Williams, Tom
ARROCH：机器人与人类协作的增强现实
DOI：
10.1109/icra48506.2021.9561144
发表时间：
2021
期刊：
IEEE International Conference on Robotics and Automation (ICRA
影响因子：
--
作者：
Chandan, Kishan;Kudalkar, Vidisha;Li, Xiang;Zhang, Shiqi
通讯作者：
Zhang, Shiqi