Gonzalez Claudia C, Causer Joe, Grey Michael J, Humphreys Glyn W, Miall R Chris, Williams A Mark
Centre for Cognitive Neuroscience, College of Health and Life Sciences, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK.
Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Tom Reilly Building, Byrom Street, Liverpool, Merseyside, L3 3AF, UK.
Exp Brain Res. 2017 Sep;235(9):2843-2855. doi: 10.1007/s00221-017-4988-2. Epub 2017 Jun 28.
The 'quiet eye' (QE)-a period of extended gaze fixation on a target-has been reported in many tasks that require accurate aiming. Longer quiet eye durations (QEDs) are reported in experts compared to non-experts and on successful versus less successful trials. The QE has been extensively studied in the field; however, the cognitive mechanisms underlying the QE are not yet fully understood. We investigated the QEDs of ten expert and ten novice archers in the field and in the laboratory using a computer-based archery task. The computer task consisted of shooting archery targets using a joystick. Random 'noise' (visual motion perturbation) was introduced at high and low levels to allow for the controlled examination of the effects of task complexity and processing demands. In this computer task, we also tested an additional group of ten non-archers as controls. In both field and computer tasks, eye movements were measured using electro-oculography. The expert archers exhibited longer QED compared to the novice archers in the field task. In the computer task, the archers again exhibited longer QEDs and were more accurate compared to non-archers. Furthermore, expert archers showed earlier QE onsets and longer QEDs during high noise conditions compared to the novices and non-archers. Our findings show skill-based effects on QED in field conditions and in a novel computer-based archery task, in which online (visual) perturbations modulated experts' QEDs. These longer QEDs in experts may be used for more efficient programming in which accurate predictions are facilitated by attention control.
“安静眼”(QE)——即对目标进行长时间注视的阶段——已在许多需要精确瞄准的任务中被报道。与非专家相比,专家在成功试验与不太成功的试验中,其安静眼持续时间(QED)更长。安静眼在该领域已得到广泛研究;然而,安静眼背后的认知机制尚未被完全理解。我们使用基于计算机的射箭任务,在野外和实验室中调查了10名专家射手和10名新手射手的安静眼持续时间。计算机任务包括使用操纵杆射击射箭目标。引入高、低水平的随机“噪声”(视觉运动扰动),以便对任务复杂性和处理需求的影响进行可控检查。在这个计算机任务中,我们还测试了另外一组10名非射手作为对照组。在野外和计算机任务中,均使用眼电图测量眼动。在野外任务中,专家射手的安静眼持续时间比新手射手更长。在计算机任务中,与非射手相比,射手的安静眼持续时间再次更长且更准确。此外,与新手和非射手相比,专家射手在高噪声条件下安静眼开始得更早且持续时间更长。我们的研究结果表明,在野外条件和一项新颖的基于计算机的射箭任务中,技能对安静眼持续时间有影响,其中在线(视觉)扰动调节了专家的安静眼持续时间。专家的这些更长的安静眼持续时间可能用于更有效的编程,其中注意力控制有助于进行准确预测。