Gaze+Gesture: Expressive, Precise and Targeted Free-Space Interactions

Ishan Chatterjee, R. Xiao, Chris Harrison
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引用次数: 113

Abstract

Humans rely on eye gaze and hand manipulations extensively in their everyday activities. Most often, users gaze at an object to perceive it and then use their hands to manipulate it. We propose applying a multimodal, gaze plus free-space gesture approach to enable rapid, precise and expressive touch-free interactions. We show the input methods are highly complementary, mitigating issues of imprecision and limited expressivity in gaze-alone systems, and issues of targeting speed in gesture-alone systems. We extend an existing interaction taxonomy that naturally divides the gaze+gesture interaction space, which we then populate with a series of example interaction techniques to illustrate the character and utility of each method. We contextualize these interaction techniques in three example scenarios. In our user study, we pit our approach against five contemporary approaches; results show that gaze+gesture can outperform systems using gaze or gesture alone, and in general, approach the performance of "gold standard" input systems, such as the mouse and trackpad.
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凝视+手势:富有表现力的、精确的、有针对性的自由空间互动
人类在日常活动中广泛依赖于眼睛注视和手部操作。大多数情况下,用户盯着一个物体来感知它,然后用手来操纵它。我们建议应用多模态、凝视加自由空间手势方法来实现快速、精确和富有表现力的无触摸交互。我们展示了输入法是高度互补的,减轻了不精确的问题和有限的表现力在单一的注视系统,和目标速度的问题在单一的手势系统。我们扩展了现有的交互分类法,该分类法自然地划分了凝视+手势交互空间,然后我们用一系列示例交互技术填充该分类法,以说明每种方法的特点和实用性。我们将这些交互技术置于三个示例场景中。在我们的用户研究中,我们将我们的方法与五种当代方法进行比较;结果表明,凝视+手势可以优于单独使用凝视或手势的系统,并且通常接近“黄金标准”输入系统的性能,例如鼠标和触控板。
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