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首页> 外文期刊>Journal of vision >Eye movement signatures of decision making and hand movement accuracy in a go-no go manual interception task
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Eye movement signatures of decision making and hand movement accuracy in a go-no go manual interception task

机译:强制手动拦截任务中的决策和手部运动准确性的眼动信号

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Hitting a baseball requires a two-stage decision: whether or not to swing, and when and where to hit. These decisions have to be made ultra-fast, in less than 400 ms, and before the entire trajectory of the ball can be viewed. Here we investigate the role of eye movements in sensorimotor decision-making and interception under uncertainty. We developed a go-no go manual interception task in which observers (n=26 varsity baseball players) tracked and predicted linear target trajectories shown briefly on a screen. In each trial, the trajectory either went through a designated strike box (hit) or past it (miss). Observers were instructed to intercept the target with their index finger in the strike box in hit trials, and to not move their hand in miss trials. Only the initial launch (100-300 ms) of the ball was shown, and balls moved at 36 or 40?°/s. Eye and hand movements were recorded with a video-based eye tracker and magnetic hand tracker. Linear regression and random-forest models were used to relate movements of eye, hand, and decision performance. The decision whether or not to intercept was best predicted by smooth pursuit velocity during the earliest (open-loop) phase of the movement, possibly due to more reliable motion trajectory information as a consequence of accurate pursuit initiation. Hitting accuracy was best predicted by pursuit position error and velocity gain during the later (steady-state) phase. These findings indicate that different stages of task performance could be predicted by different pursuit measures. Interestingly, performance was significantly better for the fast speed (shorter decision time) as compared to slow speed, where players frequently intercepted too early. On-field baseball experience with fast-moving balls might affect performance, a conclusion supported by the finding that more experienced, senior players showed a stronger performance benefit at high speed than junior players.
机译:打棒球需要两个阶段的决定:是否挥杆以及何时何地击球。必须在不到400毫秒的时间内超快做出这些决定,并且可以看到球的整个轨迹。在这里,我们调查了眼球运动在不确定性下感觉运动决策和拦截中的作用。我们开发了“走走停停”手动拦截任务,其中观察者(n = 26名大学棒球运动员)跟踪并预测了在屏幕上短暂显示的线性目标轨迹。在每个试验中,轨迹要么经过指定的打击框(命中),要么经过指定的打击框(未命中)。在命中试验中,指示观察员用食指在罢工箱中拦截目标,在未遂试验中不要动手。仅显示了球的初始发射(100-300毫秒),并且球以36或40?°/ s的速度运动。使用基于视频的眼动仪和磁手跟踪仪记录眼和手的动作。使用线性回归和随机森林模型来关联眼睛,手和决策性能的运动。是否进行拦截的决定最好是在运动的最早(开环)阶段通过平滑的追踪速度来预测,这可能是由于精确追踪启动导致的运动轨迹信息更加可靠。通过在后期(稳态)阶段追踪位置误差和速度增益,可以最好地预测击球精度。这些发现表明,可以通过不同的追踪手段来预测任务执行的不同阶段。有趣的是,与速度较慢(玩家经常过早拦截)相比,速度较快(决策时间更短)的性能明显更好。快速运动的球的现场棒球经验可能会影响性能,这一结论得到了以下发现的支持:有经验的资深运动员在高速运动中表现出比初级运动员更高的性能优势。

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