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PSYCHOMOTOR PERFORMANCE OF INPUT DEVICE USERS AND OPTIMIZED CURSOR CONTROL

机译:输入设备用户的精神音乐性能和优化光标控制

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This study examined the fit of the stochastic optimized submovement model (= SOS model; Meyer, Abrams, Kornblum, Wright and Smith, 1988) for cursor movements of two laptop input devices. 10 experienced users of touchpad (easy sensorimotor transformation) and 10 experts for the trackpoint (difficult sensorimotor transformation) executed clicking tasks. Given a model fit, the aim of the study was to discuss the well-known performance inferiority of input devices with difficult sensorimotor transformations on the basis of the SOS model. Cursor movements of both, touchpad and trackpoint, showed a basic fit with the SOS model. With the touchpad, the cursor was easier to control, resulting in a good performance: fewer submovements were carried out from the start to the target, and cursor velocity and acceleration were comparably low. Contrary, with the trackpoint cursor control was more difficult, accompanied by more submovements and a high inaccurateness in the target area: thus, even for experts, the difficult sensorimotor transformation of the trackpoint interfered with a proper motor execution. Actual and potential applications of this research include an optimization of cursor control for input devices and guidelines for their users.
机译:本研究检测了随机优化子内容模型的适合(= SOS型号; Meyer,Abrams,Kornblum,Wright和Smith,1988)用于两台笔记本电脑输入设备的光标运动。 10有经验丰富的触摸板(Easy Sensorimotor Transformation)的用户和TrackPoint的10个专家(困难的传感器转换)执行了单击任务。鉴于模型适合,该研究的目的是在SOS模型的基础上讨论具有困难的感觉电流变换的输入设备的众所周知的性能自卑。触摸板和跟踪点的光标运动显示,使用SOS模型表示基本拟合。使用触摸板,光标更容易控制,导致良好的性能:从开始到目标的开始执行更少的子系统,光标速度和加速度相当低。相反,随着TrackPoint光标控制更加困难,伴随着更多的子系统和目标区域的高度不准确性:因此,即使对于专家,甚至对于专家来说,轨迹点的困难的感觉传动变换干扰了适当的电动机执行。本研究的实际和潜在应用包括对其用户的输入设备和指南的光标控制的优化。

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