Learning from Users: an Elicitation Study and Taxonomy for Communicating Small Unmanned Aerial System States Through Gestures

Learning from Users: an Elicitation Study and Taxonomy for Communicating Small Unmanned Aerial System States Through Gestures
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向用户学习:通过手势传达小型无人机系统状态的启发研究和分类法

DOI:
10.1109/hri.2019.8673010
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发表时间:
2019
期刊:
14th ACM/IEEE International Conference on Human-Robot Interaction (HRI
影响因子:
--
通讯作者:
Duncan, Brittany A.
Duncan, Brittany A.
中科院分区:
--
文献类型:
--
作者:
Firestone, Justin W.;Quinones, Rubi;Duncan, Brittany A.

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本文提出了一种手势集沟通状态的新手用户从一个小型无人机系统(sUAS)通过启发式研究比较手势从普通公众招募的参与者不同程度的经验与sUAS。以前在sUAS飞行路径中的工作试图传达意图,目的地或情感,而不关注具体的状态,如低电量或着陆。该启发式研究采用人机交互的参与式设计方法,以了解新手用户如何期望sUAS传达状态,并最终建议飞行路径和特征以指示这些状态。我们要求来自公众的用户(N=20)为七个不同的sUAS状态创建手势,以提供对人-无人机交互的见解,并呈现直观的飞行路径和特征,期望sUAS将为没有经验的用户提供一般的商业应用。结果表明,三个sUAS州的一致性得分相对较高:着陆(0.455)、感兴趣区域(0.265)和低电量(0.245)。其他四个州的协议得分较低,但即使他们显示出所有七个州的一些共识。一致性分数和相关联的手势为工程师提供了指导,以开发一组通用的飞行路径和sUAS的特性,从而将状态传达给新手用户。
This paper presents a gesture set for communicating states to novice users from a small Unmanned Aerial System (sUAS) through an elicitation study comparing gestures created by participants recruited from the general public with varying levels of experience with an sUAS. Previous work in sUAS flight paths sought to communicate intent, destination, or emotion without focusing on concrete states such as Low Battery or Landing. This elicitation study uses a participatory design approach from human-computer interaction to understand how novice users would expect an sUAS to communicate states, and ultimately suggests flight paths and characteristics to indicate those states. We asked users from the general public (N=20) to create gestures for seven distinct sUAS states to provide insights for human-drone interactions and to present intuitive flight paths and characteristics with the expectation that the sUAS would have general commercial application for inexperienced users. The results indicate relatively strong agreement scores for three sUAS states: Landing (0.455), Area of Interest (0.265), and Low Battery (0.245). The other four states have lower agreement scores, however even they show some consensus for all seven states. The agreement scores and the associated gestures suggest guidance for engineers to develop a common set of flight paths and characteristics for an sUAS to communicate states to novice users.
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