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On free-hand TV control: experimental results on user-elicited gestures with Leap Motion

机译:在徒手电视控制上:使用Leap Motion进行的用户诱发手势的实验结果

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We present insights from a gesture elicitation study conducted for TV control, during which 18 participants contributed gesture commands and rated the execution difficulty and recall likeliness of free-hand gestures for 21 television control tasks. Our study complements previous work on gesture interaction design for the TV set with the first exploration of fine-grained resolution 3-D finger movements and hand gestures. We report lower agreement rates than previous gesture studies (AR = .158) with 72.8 % recall rate and 15.8 % false positives, results that are explained by the complexity and variability of unconstrained finger and hand gestures. However, our observations also confirm previous findings, such as people preferring related gestures for dichotomous tasks and more disagreement occurring for abstract tasks, such as "open browser" or "show the list of channels" for our specific TV scenario. To reach a better understanding of our participants' preferences for articulating finger and hand gestures, we defined five measures for Leap Motion gestures, such as gesture volume and finger-to-palm distance, which we employed to evaluate gestures performed by our participants. We also contribute a set of guidelines for practitioners interested in designing free-hand gestures for interactive TV scenarios involving similar gesture acquisition technology. We release our dataset consisting in 378 Leap Motion gestures described by fingertips position, direction, and velocity coordinates to foster further studies in the community. This first exploration of viewers' preferences for fine-grained resolution free-hand gestures for TV control represents one more step toward designing low-effort gesture interfaces for lean-back interaction with the TV set.
机译:我们提供了针对电视控制进行的手势启发研究的见解,在此研究中,有18位参与者提供了手势命令并评估了执行难度并回忆了21项电视控制任务的徒手手势的可能性。我们的研究通过对细粒度分辨率的3D手指运动和手势的首次探索,补充了电视机手势交互设计的先前工作。我们报告的同意率低于以前的手势研究(AR = .158),召回率为72.8%,误报率为15.8%,这可以用不受约束的手指和手势的复杂性和可变性来解释。但是,我们的观察结果也证实了以前的发现,例如人们更喜欢二项任务的相关手势,而对于抽象任务(例如针对我们特定电视场景的“打开浏览器”或“显示频道列表”)则表现出更多的分歧。为了更好地了解参与者对表达手指和手势的偏爱,我们为Leap Motion手势定义了五项度量,例如手势音量和手指到手掌之间的距离,这些度量用于评估参与者执行的手势。我们还为有兴趣为涉及类似手势获取技术的交互式电视场景设计徒手手势的从业人员提供了一套指南。我们发布了包含378个Leap Motion手势的数据集,这些手势由指尖的位置,方向和速度坐标描述,以促进社区中的进一步研究。观众对电视控制的细分辨率自由手手势的偏爱的首次探索代表了朝着设计省力手势界面与电视机进行倾斜交互的又一步。

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