Aerial Flight Paths for Communication: How Participants Perceive and Intend to Respond to Drone Movements
Aerial Flight Paths for Communication: How Participants Perceive and Intend to Respond to Drone Movements
复制标题
用于通信的空中飞行路径：参与者如何感知和打算对无人机运动做出反应
DOI：
10.1145/3434073.3444645
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Duncan, Brittany A.
中科院分区：
文献类型：
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作者：
Bevins, Alisha;Duncan, Brittany A.
这项工作对参与者对无人机（UAV）飞行路径或手势的自然感知和反应进行了迭代细化的理解。这既包括他们认为无人机试图与他们沟通的内容，也包括他们期望如何通过物理行动做出反应。这一领域之前的工作主要集中在激发参与者的手势来传达特定的状态，或者利用在世界上观察到的手势，而不是理解参与者认为被传达的是什么以及他们会如何回应。这项工作调查了参与者之前创造或分类的手势，以了解他们的交流或预期反应的感知内容，通过参与者自由反应创建的类别，并通过强制选择测试确认。人机交互社区可以利用这项工作来更好地理解人们如何感知无人机飞行路径，为非拟人化机器人通信的未来设计提供信息，并应用所学到的经验教训，从可能操作或可能不操作车辆的人那里获得信息标签。我们发现，对机器人的消极态度量表（NARS）可以很好地指示我们如何期望一个人对机器人的反应。还建议使用接近/离开一个人的动作来鼓励跟随，垂直于他们的视野来阻挡，以及使用不运动或大的高度变化来鼓励观看。
This work has developed an iteratively refined understanding of participants' natural perceptions and responses to unmanned aerial vehicle (UAV) flight paths, or gestures. This includes both what they believe the UAV is trying to communicate to them, in addition to how they expect to respond through physical action. Previous work in this area has focused on eliciting gestures from participants to communicate specific states, or leveraging gestures that are observed in the world rather than on understanding what the participants believe is being communicated and how they would respond. This work investigates previous gestures either created or categorized by participants to understand the perceived content of their communication or expected response, through categories created by participant free responses and confirmed through forced choice testing. The human-robot interaction community can leverage this work to better understand how people perceive UAV flight paths, inform future designs for non-anthropomorphic robot communications, and apply lessons learned to elicit informative labels from people who may or may not be operating the vehicle. We found that the Negative Attitudes towards Robots Scale (NARS) can be a good indicator of how we can expect a person to react to a robot. Recommendations are also provided to use motion approaching/retreating from a person to encourage following, perpendicular to their field of view for blocking, and to use either no motion or large altitude changes to encourage viewing.