Song Yalin, Sun Yaoru, Zeng Jinhua, Wang Fang
1] Department of Computer Science and Technology, Tongji University, Shanghai, China [2] Complex Intelligent Network Institute, Henan University, Kaifeng Henan, China.
Department of Computer Science and Technology, Tongji University, Shanghai, China.
Sci Rep. 2014 Dec 11;4:7444. doi: 10.1038/srep07444.
In order to examine whether stereoscopic depth information could drive fast automatic correction of hand pointing, an experiment was designed in a 3D visual environment in which participants were asked to point to a target at different stereoscopic depths as quickly and accurately as possible within a limited time window (≤300 ms). The experiment consisted of two tasks: "depthGO" in which participants were asked to point to the new target position if the target jumped, and "depthSTOP" in which participants were instructed to abort their ongoing movements after the target jumped. The depth jump was designed to occur in 20% of the trials in both tasks. Results showed that fast automatic correction of hand movements could be driven by stereoscopic depth to occur in as early as 190 ms.
为了研究立体深度信息是否能够驱动手部指向的快速自动校正，在三维视觉环境中设计了一项实验，要求参与者在有限的时间窗口（≤300毫秒）内尽可能快速且准确地指向不同立体深度的目标。该实验包括两项任务：“深度GO”任务，即如果目标跳跃，参与者要指向新的目标位置；以及“深度STOP”任务，即目标跳跃后参与者要中止正在进行的动作。在这两项任务中，均设计为20%的试验会出现深度跳跃。结果表明，手部动作的快速自动校正可由立体深度驱动，最早在190毫秒时就会出现。
