IEEE Trans Haptics. 2019 Apr-Jun;12(2):114-127. doi: 10.1109/TOH.2019.2896027. Epub 2019 Feb 1.
Kinesthetic interaction between the user and the computer mainly utilizes the hand-based input with force-feedback devices. There are two major shortcomings in hand-based kinesthetic interaction: physical fatigue associated with continuous hand movements and the limited workspace of current force-feedback devices for accurately exploring a large environment. To address these shortcomings, we developed two interaction techniques that use eye gaze as an additional input modality: HandGazeTouch and GazeTouch. Hand GazeTouch combines eye gaze and hand motion as the input for kinesthetic interaction, i.e., it uses eye gaze to point and hand motion to touch. GazeTouch replaces all hand motions in touch behavior with eye gaze, i.e., it uses eye gaze to point and gaze dwell time to trigger the touch. In both interaction techniques, the user feels the haptic feedback through the force-feedback device. The gaze-based techniques were evaluated in a softness discrimination experiment by comparing them to the traditional kinesthetic interface, HandTouch, which only uses the hand-based input. The results indicate that the HandGazeTouch technique is not only as accurate, natural, and pleasant as the traditional interface but also more efficient.
用户与计算机之间的动觉交互主要利用基于手的输入和力反馈设备。基于手的动觉交互有两个主要缺点:与连续手部运动相关的身体疲劳,以及当前力反馈设备用于准确探索大环境的有限工作空间。为了解决这些缺点,我们开发了两种使用眼动作为附加输入模式的交互技术:HandGazeTouch 和 GazeTouch。Hand GazeTouch 将眼动和手部运动结合作为动觉交互的输入,即使用眼动来指向,使用手部运动来触摸。GazeTouch 用眼动来指向和眼动停留时间来触发触摸代替了触摸行为中的所有手部运动,即使用眼动来指向和眼动停留时间来触发触摸。在这两种交互技术中,用户通过力反馈设备感受到触觉反馈。通过与仅使用基于手的输入的传统动觉界面 HandTouch 进行比较,在柔软度辨别实验中对基于眼动的技术进行了评估。结果表明,HandGazeTouch 技术不仅与传统界面一样准确、自然和舒适,而且效率更高。