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Gaze Supported Gestural Computer Interaction: Performance Implications of Training

机译:注视支持的手势计算机交互:训练的性能含义

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Gaze supported non-tactile gestural control uses a combination of gestures based body movements with eyerngaze positioning to provide an input source for a user’s control with a system. Combining body gesturesrnwith eye movements allows for unique computer control methods other than the traditional mouse.rnHowever, research is mixed on the effectiveness of emerging control types, such as gestures and eyetracking,rnwith some showing positive performance outcomes for one or more control aspects butrnperformance detriments in other areas that would prohibit the use of such novel control methods. Onernimportant aspect that is often ignored is familiarity with the control method. Unlike the mouse, users arerntypically unfamiliar with eye and gestures based control methods. In order to truly understand the benefit ofrnnew concepts like gaze supported gestural controls, testing experienced users is necessary. In the currentrnexperiment, participants were trained on the gaze supported gestures system in order to become “experts”rnand achieve similar levels of proficiency with the different control methods to be assessed, to includernmouse, non-gaze and gaze supported gestural controls. Results showed that after as few as five practicernsessions participants were able to perform a simple point and click task as well or even better than mouserncontrol when using gaze supported gestures.
机译:注视支持的非触觉手势控制结合了基于手势的身体运动和眼动注视定位,从而为用户通过系统进行控制提供了输入源。将身体手势与眼睛运动相结合可以使用除传统鼠标以外的独特计算机控制方法。然而,对新兴控制类型(例如手势和眼动追踪)的有效性的研究还很复杂,其中有些在一个或多个控制方面显示出积极的性能结果,但对性能却不利在其他领域,将禁止使用这种新颖的控制方法。经常被忽略的重要方面是对控制方法的熟悉。与鼠标不同,用户通常不熟悉基于眼睛和手势的控制方法。为了真正理解诸如注视支持的手势控制之类的新概念的益处,必须测试有经验的用户。在当前的实验中,对参与者进行了关于凝视支持的手势系统的培训,以使其成为“专家”并通过要评估的不同控制方法达到类似水平的熟练程度,包括鼠标,非凝视和凝视支持的手势控制。结果表明,经过最少五次练习后,参与者在使用注视支持的手势时也能够执行简单的指向和单击任务,甚至比鼠标控件更好。

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