Abstract 抽象的
Increased conscious movement monitoring and control can impair sports performance. Recent evidence indicates it might facilitate stopping motor actions. To further investigate, we asked novices to putt balls, but they needed to stop promptly while an auditory cue appeared during the downswing. They also completed the Movement Specific Reinvestment Scale, which measures movement self-consciousness (MS-C) and conscious motor processing, indicating the degree of inclination for conscious movement monitoring and control, respectively. Individuals with high MS-C displayed higher stopping rates but longer stopping time. Further exploration suggests that they were more likely to make slow downswings, allowing successful but late stops. We conclude that increased conscious movement monitoring may affect movement execution in such a way that it affords better stopping of ongoing motor actions.
增加有意识的运动监测和控制会损害运动表现。最近的证据表明它可能有助于停止运动动作。为了进一步调查,我们要求新手推杆,但他们需要在下杆期间出现听觉提示时立即停止。他们还完成了运动特定再投资量表,该量表测量运动自我意识(MS-C)和有意识运动处理,分别表明有意识运动监测和控制的倾向程度。 MS-C 较高的个体表现出较高的停止率,但停止时间较长。进一步的探索表明,他们更有可能缓慢下跌,从而允许成功但较晚的止损。我们的结论是,增加有意识的运动监控可能会影响运动执行,从而更好地停止正在进行的运动动作。
Introduction 介绍
Athletes pursue optimal performance during competition. Interestingly, many elite athletes indicate that they typically do not or pay only little conscious attention toward the execution of movements, that is, on how movements should unfold in space and time, when performing optimally (Toner & Moran, Citation2011). In fact, increased conscious investment in monitoring and control of movement is often associated with suboptimal performance (Beilock & Carr, Citation2001; Masters, Citation1992; Maxwell et al., Citation2006; Toner & Moran, Citation2011). For example, when expert golf players were instructed to turn attention inwards to the ongoing putting movement and (afterwards) reported which part of the putter face contacted the ball, their performance worsened in comparison to a condition without instruction (Toner & Moran, Citation2011). A similar phenomenon is thought to underpin break downs of performance in high pressure situations. These lead to increased conscious monitoring and control of normally automatized movement control, which may disrupt performance, especially in skilled athletes (Beilock & Carr, Citation2001, Masters & Maxwell, Citation2008).
运动员在比赛中追求最佳表现。有趣的是,许多精英运动员表示,他们通常不会或很少有意识地关注动作的执行,即在最佳表现时动作应如何在空间和时间上展开(Toner & Moran, Citation 2011 )。事实上,增加对运动监测和控制的有意识投资通常与次优表现相关(Beilock & Carr, Citation 2001 ;Masters, Citation 1992 ;Maxwell 等人, Citation 2006 ;Toner & Moran, Citation 2011 )。例如,当专业高尔夫球手被指示将注意力转向正在进行的推杆运动并(随后)报告推杆面的哪一部分接触球时,与没有指导的情况相比,他们的表现会恶化(Toner & Moran, Citation 2011) )。人们认为,类似的现象会导致高压情况下的表现下降。这些导致对通常自动运动控制的有意识监视和控制的增加,这可能会扰乱表现,特别是对于技术熟练的运动员(Beilock&Carr, Citation 2001 ,Masters&Maxwell, Citation 2008 )。
Yet, some researchers have suggested that increased conscious investment in movement can also be accommodating, particularly when a movement suddenly needs to be stopped or inhibited (Beilock & Gray, Citation2012; Park et al., Citation2020). Abruptly stopping or profoundly changing an ongoing or planned action is especially necessitated in the unpredictable dynamics of sporting environments (Gray, Citation2009). For example, in soccer, the penalty kicker may interrupt the planned action and opt instead to kick to the side opposite of the initially intended side because of the goalkeeper’s actions (Morya et al., Citation2003; van der Kamp, Citation2006). Or in baseball, the batter may stop the swing at the latest moment when it appears that the trajectory of the oncoming ball is different from what was initially perceived (Gray, Citation2009). Therefore, to stop or inhibit planned or ongoing movements quickly and (just) in time can be crucial to successful sport performance. Increased conscious movement monitoring and control has been suggested to speed up inhibition (Beilock & Gray, Citation2012; Park et al., Citation2020). Beilock and Gray (Citation2012) recruited novices and skilled golfers and required them to stop golf putting strokes in response to an auditory stop-signal. They reported that novices had shorter stopping time and distances compared to the skilled golfers when the stop-signal appeared during the downswing. Novices thus seemed more proficient in inhibiting the golf swing compared to experienced golfers. Since novices compared to skilled performers typically show increased conscious engagement in movement behavior, Beilock and Gray (Citation2012) proposed that skilled golfers were slower in stopping because they first had to (re-)direct attention to the movement. By contrast, novices could forego this step since they were already consciously attending inward.
然而,一些研究人员认为,增加对运动的有意识投资也可以起到调节作用,特别是当运动突然需要停止或抑制时(Beilock & Gray, Citation 2012 ;Park et al., Citation 2020 )。在不可预测的动态运动环境中,突然停止或深刻改变正在进行或计划的动作尤其必要(Gray, Citation 2009 )。例如,在足球中,由于守门员的行为,点球手可能会打断计划的动作并选择踢到与最初预期一侧相反的一侧(Morya 等人, Citation 2003 ;van der Kamp, Citation 2006 )。或者在棒球中,当即将到来的球的轨迹与最初感知的不同时,击球手可能会在最后一刻停止挥杆(Gray, Citation 2009 )。因此,快速、及时地停止或抑制计划中或正在进行的运动对于成功的运动表现至关重要。有人建议增加有意识的运动监测和控制来加速抑制(Beilock & Gray,引文2012 ;Park 等人,引文2020 )。 Beilock 和 Gray(引文2012 )招募了新手和熟练的高尔夫球手,并要求他们在听到停止信号时停止高尔夫推杆。 他们报告说,与熟练的高尔夫球手相比,当下杆期间出现停止信号时,新手的停止时间和距离更短。因此,与经验丰富的高尔夫球手相比,新手似乎更擅长抑制高尔夫挥杆。由于与熟练的高尔夫球手相比,新手通常会表现出更多的有意识地参与运动行为,Beilock 和 Gray(引文2012 )提出,熟练的高尔夫球手停下来的速度较慢,因为他们首先必须(重新)将注意力转移到运动上。相比之下,新手可以放弃这一步,因为他们已经有意识地向内关注。
The degree of conscious movement investment not only differentiates novices and skilled performers but is also considered a disposition that explains interindividual differences (i.e., within a level of skill) in the degree to which performers lean toward conscious investment in movement monitoring and control. This disposition can be measured with the Movement Specific Reinvestment Scale (MSRS, Malhotra et al., Citation2015; Masters & Maxwell, Citation2008; Masters et al., Citation1993, Citation2005). Movement reinvestment is used as an umbrella term merging different ways of how consciousness engages in movement (Masters & Maxwell, Citation2008). The original MSRS consisted of two factors, named conscious motor processing (CMP) and movement self-consciousness (MS-C, Masters et al., Citation2005). CMP reflects an individual’s inclination to consciously regulate or apply explicit movement rules in the ongoing movements, for instance, by actively adjusting movement form or speed in response to instructions. MS-C refers to an individual’s concern or attention to the ‘style’ of movement, for instance, when trying to make a good impression in public (Masters et al., Citation2005; Masters & Maxwell, Citation2008). Recently, however, Malhotra et al. (Citation2015) reinterpreted the MS-C to generally reflect the conscious monitoring of movement without necessarily having the intention to actively intervene in its execution. This reading followed from their observations that both CMP and MS-C were associated with novices’ golf putting performance during early practice, higher scores for CMP and MS-C were related to better performance. Malhotra et al. (Citation2015, p. 6) argued that “it is difficult to comprehend how being self-conscious about movements or being concerned about the ‘style’ of movement manifests in more proficient performance in practice”. Instead, they argued, MS-C would be more appropriately taken to represent a conscious monitoring or paying attention to one’s movements without actively intervening in them. In fact, Malhotra et al. (Citation2015) proposed, following an earlier lead by Jackson et al. (Citation2006), that the two factors of MSRS draw a distinction between conscious movement control and movement monitoring. We are sympathetic to this proposal, and thus interpret the CMP and MS-C factors of the MSRS to measure an individual’s inclination to consciously control and monitor one’s movements, respectively. Skilled athletes with a higher inclination for conscious movement control and monitoring are more likely to show performance break downs in high pressure situations (Chell et al., Citation2003; Jackson et al., Citation2006; Citation2013; Tang et al., Citation2023), presumably because they reinvest conscious attention in already automatized movement behaviors. Also, without contingencies such as high pressure, the MSRS is shown to be sensitive to individual differences in the degree movements to which they tend to consciously attend to and control movements. For example, novices with higher CMP and MS-C scores, and therefore a higher inclination for conscious movement investment, showed higher performance of golf putting (Malhotra et al., Citation2015).
有意识的动作投入程度不仅区分新手和熟练的表演者,而且还被认为是解释表演者倾向于有意识地投入运动监控和控制的程度的一种倾向(即在技能水平内)。这种处置可以通过运动特定再投资量表来衡量(MSRS,Malhotra 等人,引文2015 ;Masters & Maxwell,引文2008 ;Masters 等人,引文1993 ,引文2005 )。运动再投资被用作一个涵盖性术语,融合了意识参与运动的不同方式(Masters & Maxwell, Citation 2008 )。最初的 MSRS 由两个因素组成,称为有意识运动处理(CMP)和运动自我意识(MS-C,Masters 等人, Citation 2005 )。 CMP反映了个体在正在进行的运动中有意识地调节或应用明确的运动规则的倾向,例如,根据指令主动调整运动形式或速度。 MS-C 指的是个人对运动“风格”的关注或注意,例如,当试图在公共场合留下好印象时(Masters 等人, Citation 2005 ;Masters & Maxwell, Citation 2008 )。然而,最近,Malhotra 等人。 (引文2015 )重新解释了 MS-C,一般反映了对运动的有意识监控,而不一定有主动干预其执行的意图。这一读数是根据他们的观察得出的,即 CMP 和 MS-C 都与新手在早期练习中的高尔夫推杆表现相关,CMP 和 MS-C 得分越高,表现越好。马尔霍特拉等人。 (引文2015 ,第 6 页)认为“很难理解对动作的自我意识或对动作‘风格’的关注如何在实践中体现出更熟练的表现”。相反,他们认为,MS-C 更适合代表有意识地监控或关注一个人的动作,而不主动干预它们。事实上,马尔霍特拉等人。 ( Citation 2015 ) 是在 Jackson 等人的早期领导下提出的。 ( Citation 2006 ),MSRS 的两个因素区分了有意识的运动控制和运动监控。我们赞同这一提议,因此解释了 MSRS 的 CMP 和 MS-C 因子,以分别衡量个体有意识地控制和监控自己的运动的倾向。更倾向于有意识的运动控制和监测的熟练运动员更有可能在高压情况下表现出表现下降(Chell 等人,引用2003 年;Jackson 等人,2003 年)。,引文2006 ;引文2013 ; Tang 等人,引用2023 ),大概是因为他们将有意识的注意力重新投入到已经自动化的运动行为中。此外,在没有高压等意外情况的情况下,MSRS 对运动程度的个体差异很敏感,他们倾向于有意识地关注和控制运动。例如,具有较高 CMP 和 MS-C 分数的新手,因此更倾向于有意识的运动投资,表现出更高的高尔夫推杆表现(Malhotra 等人,引文2015 )。
Recently, Park et al. (Citation2020) directly examined the relationship between the ability to inhibit simple movements and the inclination for conscious movement investment. They hypothesized that participants who showed more proficient inhibition would have a low inclination for conscious movement investment (Park et al., Citation2020). They had participants complete the MSRS and perform a computerized Go/No-Go Task to measure inhibition. In the Go/No-Go Task participants respond to the prevalent go-stimulus but withhold that response when the less frequent no-go stimulus appears. Park et al. (Citation2020) found a negative correlation between MSRS score and the variability in the go response time. However, there was no significant correlation between MSRS score and the number of false responses to the no-go stimuli (i.e., commission errors), which is the primary indicator of inhibition in the Go/No-Go Task. If anything, this suggests that individuals with a high inclination to consciously invest in movement monitoring and control, have more proficient inhibition ability, which contradicts Park et al.’s hypothesis. Yet, this finding does seem to (partly) corroborate Beilock and Gray (Citation2012) observations. Possibly, the association observed in Park et al. (Citation2020) in the simple button press tasks is even more pronounced for more complex movements involving multiple degrees of freedom.
最近,帕克等人。 (引文2020 )直接检验了抑制简单运动的能力与有意识运动投资的倾向之间的关系。他们假设表现出更熟练抑制的参与者对有意识运动投资的倾向较低(Park 等人,引文2020 )。他们让参与者完成 MSRS 并执行计算机化的 Go/No-Go 任务来测量抑制。在“进行/不进行”任务中,参与者对普遍的“进行”刺激做出反应,但当出现不太频繁的“不进行”刺激时,则不会做出反应。帕克等人。 (引文2020 )发现 MSRS 分数与 go 响应时间的变异性之间存在负相关。然而,MSRS 分数与对不进行刺激的错误反应数量(即委托错误)之间没有显着相关性,而这是进行/不进行任务中抑制的主要指标。如果说有什么不同的话,那就是,这表明,高度倾向于有意识地投资于运动监测和控制的个体,具有更熟练的抑制能力,这与 Park 等人的假设相矛盾。然而,这一发现似乎确实(部分)证实了 Beilock 和 Gray(引文2012 )的观察结果。 Park 等人可能观察到这种关联。 (引文2020 )在简单的按钮按下任务中,对于涉及多个自由度的更复杂的运动来说更加明显。
Typically, the conscious monitoring and control of movement is understood in the context of cognitive theories that hold that internal representations or motor programs underpin movement behavior (Masters & Maxwell, Citation2008). The key argument follows from early work by Fitts and Posner (Citation1967), Keele (Citation1968) that novices consciously control or monitor their movements, but that with learning the explicit knowledge that they have accumulated becomes internalized into motor programs. Once the program is acquired, executive conscious monitoring and control is superfluous and, consequently, the movement normally runs off automatically or unconsciously (Schneider & Shiffrin, Citation1977; Willingham, Citation1999). It follows that conscious control and monitoring of movement is beneficial for beginners, but degrades movement performance among skilled performers, because it interferes with the already automatized control (Beilock et al., Citation2002; Beilock & Carr, Citation2001; Maxwell et al., Citation2006; Perkins-Ceccato et al., Citation2003). For example, Beilock et al. (Citation2002) reported that novice soccer players dribbled faster when they were instructed to report whether they touched the ball with the outside or inside of their foot on hearing a loud a tone compared to when they had to identify a target word from a list of words spoken on a tape-recorder. In other words, the novices performed better when consciously monitoring their movements, (i.e., referred to as skill-focus attention by Beilock et al., Citation2002), presumably because it enhances their normal continuous conscious step-by-step control of movements. However, skilled soccer players showed the opposite pattern. They performed better when conscious attention was directed away from the movements (i.e., distributed attention), strengthening the noninterference in automatic movement control.
通常,有意识地监测和控制运动是在认知理论的背景下理解的,该理论认为内部表征或运动程序支撑着运动行为(Masters & Maxwell,引文2008 )。关键论点源自 Fitts 和 Posner( Citation 1967 )、Keele( Citation 1968 )的早期研究,即新手有意识地控制或监控自己的动作,但通过学习他们所积累的显性知识,他们会内化到运动程序中。一旦获得了程序,执行意识的监视和控制就是多余的,因此,运动通常会自动或无意识地运行(Schneider&Shiffrin, Citation 1977 ;Willingham, Citation 1999 )。由此可见,有意识地控制和监测运动对初学者来说是有益的,但会降低熟练表演者的运动表现,因为它会干扰已经自动化的控制(Beilock 等人,引文2002 ;Beilock 和 Carr,引文2001 ;Maxwell 等人,2002)。 ,引文2006 ;Perkins-Ceccato 等人,引文2003 )。例如,贝洛克等人。 ( Citation 2002 ) 报道称,与必须从一系列单词中识别目标单词时相比,当新手足球运动员被指示在听到响亮的声音时报告是用脚的外侧还是内侧触球时,他们的运球速度更快。录音机上所说的话。换句话说,新手在有意识地监控自己的动作时表现得更好(即 Beilock 等人称为技能集中注意力,引文2002 ),大概是因为它增强了他们正常的连续有意识的逐步控制动作。然而,熟练的足球运动员却表现出相反的模式。当有意识的注意力远离运动(即分散注意力)时,他们表现得更好,从而加强了自动运动控制的不干扰性。
Although we do not intend to directly compare theoretical approaches, we prefer to conceptualize conscious movement monitoring and control from a nonrepresentational theory that combines the perspectives of ecological psychology (Gibson, Citation1979) and dynamic systems theory (Kugler et al., Citation1980). In this approach, it is argued that adaptive movement emerges or self-organizes from the interactions of various constraints imposed upon the performer-environment system, rather than being prescribed by internal representations or programs (Davids et al., Citation2013; Newell, Citation1986; Warren, Citation2006). In this respect, Bernstein (Citation1967) argued that for a movement to be adapted to the dynamic environment, a performer’s movement system’s many independent degrees of freedom need to be temporally organized or coordinated. The number of actively controlled degrees of freedom is then defined by the constraints on the movement system. In this respect, Newell and Ranganathan (Citation2010) argued that instructions that shift a person’s conscious attention to the unfolding movement, act as a (additional) constraint on the movement system. Importantly, in this understanding a constraint does not cause or prescribe a movement, but functions to channel the search for an adaptive movement (Kugler et al., Citation1980). Consequently, within this perspective conscious movement monitoring and control can be considered a way to temporally reduce the number of degrees of freedom. Indeed, some studies have shown that conscious movement monitoring and control is associated with a freezing or reducing of the degrees of freedom (Higuchi et al., Citation2002; Lohse et al., Citation2010; van Ginneken et al., Citation2018). For example, van Ginneken et al. (Citation2018) showed that in a throwing task, increased conscious movement monitoring and control was associated with more similar, less variable movements. It can be proposed, therefore, that in less skilled performers conscious movement monitoring and control simplifies movement control. However, in more proficient performers, who show more distributed movement control, adding an additional constraint through conscious interference may reduce the degrees of freedom and thus hamper adaptive movement flexibility. This may lead to the typically observed performance disruptions associated with conscious movement monitoring and control in skilled performers (Beilock et al., Citation2002; Beilock & Gray, Citation2012; Gray, Citation2004, Citation2006). In this respect, Hervault et al. (Citation2021) found that movements involving multiple degrees of freedom (i.e., swiping) show longer time to inhibit compared to movements with less degrees of freedom (i.e., button press). The authors suggested that the speed of movement inhibition scales with the number of degrees of freedom being controlled. Because with more complex movements, control is distributed over a larger number of degrees of freedom, more time is needed to disassemble or undo control in the case of sudden inhibition. In sum, our working hypothesis is that conscious investment in the monitoring and control of movement can act as a constraint that reduces the number of degrees of freedom to be controlled. Following the arguments of Hervault et al. (Citation2021), these consciously controlled movements would be inhibited faster than movements for which control is distributed over a larger number of degrees of freedom.
尽管我们不打算直接比较理论方法,但我们更喜欢从结合了生态心理学(Gibson, Citation 1979 )和动态系统理论(Kugler et al., Citation 1980 )视角的非表征理论来概念化有意识运动监测和控制。 。在这种方法中,有人认为适应性运动是从施加在表演者环境系统上的各种约束的相互作用中出现或自组织的,而不是由内部表征或程序规定(Davids et al., Citation 2013 ; Newell, Citation) 1986 年;沃伦,引文2006 )。在这方面,伯恩斯坦( Citation 1967 )认为,为了使动作适应动态环境,表演者的动作系统的许多独立自由度需要在时间上进行组织或协调。然后,主动控制的自由度的数量由运动系统的约束来定义。在这方面,Newell 和 Ranganathan(引文2010 )认为,将人的意识注意力转移到展开的运动上的指令,充当了对运动系统的(附加)约束。重要的是,在这种理解中,约束不会导致或规定运动,而是用于引导对适应性运动的搜索(Kugler 等人,引文1980 )。 因此,从这个角度来看,有意识的运动监控和控制可以被认为是暂时减少自由度数量的一种方法。事实上,一些研究表明,有意识的运动监测和控制与自由度的冻结或降低有关(Higuchi 等人,引文2002 ;Lohse 等人,引文2010 ;van Ginneken 等人,引文2018 ) 。例如,范吉内肯等人。 (引文2018 )表明,在投掷任务中,增加有意识的运动监控和控制与更相似、更少变化的运动相关。因此,可以提出,对于技术较差的表演者来说,有意识的运动监测和控制可以简化运动控制。然而,对于表现出更分散的运动控制的更熟练的表演者来说,通过有意识的干扰添加额外的约束可能会降低自由度,从而妨碍自适应运动的灵活性。这可能会导致熟练表演者通常观察到的与有意识运动监控和控制相关的表现中断(Beilock 等人,引文2002 ;Beilock & Gray,引文2012 ;Gray,引文2004 ,引文2006 )。在这方面,赫沃等人。 (引文2021 )发现涉及多个自由度的运动(即与自由度较小的运动(即按下按钮)相比,滑动、滑动)显示出更长的抑制时间。作者认为,运动抑制的速度与受控制的自由度的数量成正比。因为对于更复杂的运动,控制分布在更多的自由度上,所以在突然抑制的情况下需要更多的时间来分解或撤消控制。总之,我们的工作假设是,有意识地对运动的监视和控制进行投资可以充当限制,减少要控制的自由度的数量。根据 Hervault 等人的论点。 (引文2021 ),这些有意识控制的运动将比控制分布在更多自由度上的运动受到更快的抑制。
As reviewed above, the evidence supporting the relationship between conscious movement investment and inhibition is still weak. Beilock and Gray (Citation2012) indeed presented evidence supporting a relationship based on a comparison between participants of different skill level, but their evidence would have been strengthened had they shown that the participating novice performers indeed were more strongly inclined to and/or consciously attending to the golf movements. Park et al. (Citation2020) evidence is less direct and limited in the sense that the key press response in the Go/No-Go Task seemingly does not require much conscious movement monitoring or control. Hence, we further explore the relationship between conscious movement monitoring and control and inhibition by combining both methodologies. Specifically, we adopted the experimental task introduced by Beilock and Gray (Citation2012) and asked novice golf players to stop a golf putting stroke in response to an auditory signal. We assessed participants’ inclination for conscious movement investment using the MSRS. As elaborated on in the above, previous studies have shown that the MS-C and CMP factors that make up the MSRS, seem to differently relate to performance by manifesting themselves more strongly in the monitoring and control of movement, respectively (Malhotra et al., Citation2014; Citation2015). Because the MSRS measures an individual’s inclination for conscious movement investment and not the actual degree of conscious involvement in monitoring and control in the ongoing movement, we also estimated the amount of declarative knowledge that participants invested by using a post-experimental verbal knowledge protocol (Beilock & Carr, Citation2001). Novice performers with high MSRS scores, indicating a high inclination for conscious movement monitoring and control tend to accumulate more explicit movement rules than performers with low MSRS scores (Maxwell et al., Citation2000). We predicted more proficient inhibition (i.e., higher stopping rate and shorter stopping time) for participants with a stronger inclination for conscious movement monitoring and control (i.e., as reflected in higher MS-C and CMP scores, respectively) and/or with more invested declarative knowledge.
如上所述,支持有意识运动投入与抑制之间关系的证据仍然薄弱。 Beilock 和 Gray(引文2012 )确实提供了基于不同技能水平的参与者之间的比较来支持关系的证据,但如果他们表明参与的新手表演者确实更强烈地倾向于和/或有意识地参加,他们的证据将会得到加强到高尔夫动作。帕克等人。 (引文2020 )证据不太直接和有限,因为 Go/No-Go 任务中的按键响应似乎不需要太多有意识的运动监控或控制。因此,我们结合这两种方法进一步探讨有意识运动监测和控制与抑制之间的关系。具体来说,我们采用了 Beilock 和 Gray 提出的实验任务(引文2012 ),并要求新手高尔夫球手响应听觉信号停止高尔夫推杆击球。我们使用 MSRS 评估了参与者对有意识运动投资的倾向。如上所述,之前的研究表明,构成 MSRS 的 MS-C 和 CMP 因素似乎与表现有不同的关系,分别在运动的监测和控制中表现得更强烈(Malhotra 等,2017)。 ,引文2014 ;引文2015 )。 由于 MSRS 衡量的是个体对有意识运动投资的倾向,而不是有意识地参与持续运动的监测和控制的实际程度,因此我们还使用实验后言语知识协议(Beilock)估计了参与者投入的陈述性知识量&Carr,引文2001 )。具有高 MSRS 分数的新手表演者,表明有意识运动监控和控制的高倾向,往往比具有低 MSRS 分数的表演者积累更明确的运动规则(Maxwell 等人, Citation 2000 )。我们预测,对于有意识的运动监测和控制倾向更强(即,分别反映在较高的 MS-C 和 CMP 分数)和/或投入更多的参与者,抑制效果会更熟练(即,更高的停止率和更短的停止时间)。陈述性知识。
Method 方法
Participants 参加者
A total of 67 participants were recruited among the local university’s master’s and PhD students.
共有67名当地大学硕士和博士生参加。 provides the demographic characteristics of participants. G*Power (Version 3.1.9.6) showed that at least 64 participants were needed to detect the significant correlations with a power level of 80%, with a moderate estimated effect size r of 0.3 at a significance level of 0.05. The criteria for recruiting participants were as follows: 18–35 years old, no trained golf experience prior this study, normal or corrected-to-normal vision, free of neurological diseases and psychiatric disorders, and no medication use that affects the central nervous system. The study was approved by the local institution’s ethic committee and participant provided written informed consent before the start of the study. No compensation was provided for participants.
提供参与者的人口统计特征。 G*Power(版本 3.1.9.6)显示,至少需要 64 名参与者才能检测功效水平为 80% 的显着相关性,在显着性水平为 0.05 时,中等估计效应大小 r 为 0.3。招募参与者的标准如下:年龄18-35岁,在本研究之前没有受过高尔夫训练的经验,视力正常或矫正至正常,无神经系统疾病和精神疾病,不使用影响中枢神经系统的药物。该研究得到了当地机构伦理委员会的批准,参与者在研究开始前提供了书面知情同意书。没有为参与者提供任何补偿。
Apparatus, Materials, and Tasks
设备、材料和任务
Questionnaire 问卷调查
Movement Specific Reinvestment Scale (MSRS): The MSRS comprises ten items loading on two factors (Masters et al., Citation2005). Five items assess movement self-consciousness (MS-C), while the other five items assess conscious motor processing (CMP). Following Malhotra et al. (Citation2015; see also Jackson et al., Citation2006), we interpret MS-C and CMP to measure an individual’s inclination to consciously invest in movement monitoring and movement control, respectively. Each item is rated on 6-point Likert scale, range from 1 (strongly disagree) to 6 (strongly agree), with cumulative scores on each factor ranging from 5 to 30. The higher the score, the stronger the inclination for conscious movement investment. The English version of the MSRS was used in this study. All participants were fluent in English.
运动特定再投资量表 (MSRS): MSRS 包括十个项目,加载两个因素(Masters 等人,引文2005 )。五个项目评估运动自我意识(MS-C),而其他五个项目评估有意识的运动处理(CMP)。继 Malhotra 等人之后。 (引文2015 ;另见 Jackson 等人,引文2006 ),我们将 MS-C 和 CMP 解释为分别衡量个人有意识地投资于运动监测和运动控制的倾向。每个项目均采用 6 点李克特量表评分,范围从 1(强烈不同意)到 6(强烈同意),每个因素的累积分数范围从 5 到 30。分数越高,有意识运动投资的倾向越强。本研究使用英文版 MSRS。所有参与者都能说流利的英语。
Verbal Knowledge Protocols: Following Beilock and Carr (Citation2001), a verbal knowledge protocol (Appendix A) was used to assess the number of movement rules that participants used when performing the golf putting strokes. The participants gave their responses in writing.
言语知识协议:继 Beilock 和 Carr(引文2001 )之后,使用言语知识协议(附录 A )来评估参与者在进行高尔夫推杆击球时使用的运动规则的数量。参与者以书面形式给出了答复。
Indoor Putting Green 室内果岭
An indoor putting green was used (
使用了室内果岭(). A red square-shaped target with a red dot inside was used as the target (0.045*0.045m) and four white starting lines with a red dot were used as four different starting locations. The starting lines were at 1.22, 1.83, 2.44, or 3.05 m distance from the red square-shaped target and numbered 1 to 4, respectively, to instruct participants on the starting location. Beilock and Carr (Citation2001, study 1) demonstrated that participants quickly adapted to a golf putting task when only one distance was used, reducing conscious movement engagement. Hence, to increase the contrast in conscious movement investment between participants with a high or low inclination for conscious movement monitoring and control, we followed Beilock and Gray (Citation2012) and included four distances. Standard balls and putter were used.
)。靶子采用一个内有红点的红色方形靶子(0.045*0.045m),4条带红点的白色起始线作为四个不同的起始位置。起始线距红色方形目标1.22、1.83、2.44或3.05 m,分别编号为1至4,以指示参与者的起始位置。 Beilock 和 Carr(引文2001 ,研究 1)证明,当仅使用一个距离时,参与者很快就适应了高尔夫推杆任务,从而减少了有意识的运动参与。因此,为了增加有意识运动监测和控制倾向高或低的参与者之间有意识运动投资的对比,我们遵循 Beilock 和 Gray(引文2012 )并包括四个距离。使用标准球和推杆。
Kinematic Recordings 运动记录
Optorak 3020 was used to record the x-, y-, and z-coordinates of a LED mounted on the shaft of the putter at 200 Hz, with the y-coordinate referring to the ball-driven plane (i.e., the x-coordinate referred to the direction perpendicular to the y-coordinate, and the z-coordinate referred to the vertical direction). The Laboratory Virtual Instrument Engineering Workbench (LabVIEW) was used to generate and synchronize the auditory signals to the kinematic recordings. The experimenter triggered a go-signal (i.e., a man’s voice saying ‘go’, lasting 500 ms), which concurrently initiated the kinematic recordings. A custom-made LabVIEW routine used positional data of the LED to calculate velocity, acceleration and jerk in the y-direction in real time. A stop-signal (i.e., 150 ms tone at 500 Hz) appeared either 50 ms after the end of backswing (i.e., at the start of the downswing) or 100–250 ms after the ball-putter contact. The end of the backswing was defined as the velocity equaling zero after the initial increase in velocity (i.e., start of the backswing), while the ball-putter contact was detected as follows: (1) the jerk suddenly changed from a low value (i.e., < −1000 m/s3) to a high value (i.e., > 1000 m/s3), (2) the acceleration was less than −10 m/s2, and (3) to prevent a false detection of ball-putter contact (e.g., because the club touches the ground during the downswing), the LED must have crossed its initial position.
Optorak 3020 用于以 200 Hz 频率记录安装在推杆轴上的 LED 的 x、y 和 z 坐标,其中 y 坐标指的是球驱动平面(即 x 坐标)指垂直于 y 坐标的方向,z 坐标指垂直方向)。实验室虚拟仪器工程工作台 (LabVIEW) 用于生成听觉信号并将其同步到运动学记录。实验者触发了一个“开始”信号(即,一个男人的声音说“开始”,持续 500 毫秒),同时启动运动学记录。定制的 LabVIEW 例程使用 LED 的位置数据来实时计算 y 方向的速度、加速度和加加速度。停止信号(即 500 Hz 的 150 ms 音调)在上杆结束后 50 毫秒(即下杆开始时)或球推杆接触后 100-250 毫秒出现。后摆结束定义为速度初始增加后(即后摆开始)为零,同时检测球推杆接触如下:(1)急动度突然从低值变化( (即 < -1000 m/s 3 ) 到高值 (即 > 1000 m/s 3 ),(2) 加速度小于 -10 m/s 2 ,以及 (3) 防止误检测球推杆接触(例如,因为球杆在下挥杆过程中接触地面),LED 一定已经越过其初始位置。
Camera 相机
A digital camera (Sony RX100IV or Sony Rx10III) was used to record the final position of the ball relative to the target. The highest resolution (5472 × 3648 pixels), the widest lens aperture (f/1.8 for Sony RX100IV, f/2.4 for Sony Rx10III) and the date/time function were used. The camera was mounted on a frame 1.46 m above the target. A bubble level attached to the camera ensured the lens was positioned parallel to the green. Before each experimental session, a tape measure (in mm) was placed on the green for calibration purposes (Neumann & Thomas, Citation2008).
使用数码相机(Sony RX100IV 或 Sony Rx10III)记录球相对于目标的最终位置。使用了最高分辨率(5472 × 3648 像素)、最宽的镜头光圈(索尼 RX100IV 为 f/1.8,索尼 Rx10III 为 f/2.4)和日期/时间功能。相机安装在目标上方 1.46 m 的框架上。相机上安装的气泡水平仪确保镜头与果岭平行。在每次实验之前,将卷尺(以毫米为单位)放在果岭上以进行校准(Neumann & Thomas,引文2008 )。
Go Task (without Stop-Signals)
执行任务(无停止信号)
We followed Beilock and Gray (Citation2012) by starting the experiment with a Go Task (
我们遵循 Beilock 和 Gray(引文2012 ),通过 Go 任务开始实验() in which no stop trials were given. This allowed us to determine whether randomly interspersing go trials with stop trials, as in the Stop-Signal Task (see below) affects putting accuracy and kinematics. At the start of the Go Task, participants were presented with an image showing the starting posture of a golf putt, and they were asked to emulate the starting posture on the image before making a putt. The image was posted on the wall so that participants could see it anytime they wanted. No additional guidance regarding putting technique was given, except for one experimenter instructing them that putting involved first moving the club backward and then forward to strike the ball. This was only done once at the beginning of the Go Task, without cueing attention to other aspects of the putting movements. The Go Task consisted of one practice block of eight trials (i.e., two trials per distance in randomized order) and one test block of thirty-two trials (i.e., eight trials per distance in randomized order). The practice block allowed participants to familiarize with the putting technique and experimental procedure. On each trial, participants were instructed about the putting distance and asked to post themselves at the corresponding starting line. After the participants informed the experimenter that they were ready to putt, the experimenter clicked on the mouse to generate the go-signal and start the kinematic recording. After hearing the go-signal, the participants started to make a putt and try to roll the ball into the target. They were told that the nearer the ball would stop to the target the better the performance. After the ball stopped rolling, a second experimenter took a photograph if the ball ended in the photographed area or took a photograph of a paper noting either ‘too soft’ or ‘too hard’ when the ball did not end in the photographed area. Then, the ball was returned to the participant to prepare for the next trial. The final position of the ball was visible to participants, but no other feedback was given.
),其中没有进行停止试验。这使我们能够确定随机散布的围棋试验与停止试验是否会影响推杆准确性和运动学,如停止信号任务(见下文)。在围棋任务开始时,参与者会看到一张显示高尔夫推杆起始姿势的图像,并要求他们在推杆之前模仿图像上的起始姿势。该图像被贴在墙上,以便参与者可以随时查看。除了一位实验者指导他们,推杆包括首先向后移动球杆,然后向前移动球杆来击球之外,没有给出有关推杆技术的额外指导。这仅在围棋任务开始时完成一次,没有提示人们注意推杆动作的其他方面。围棋任务包括一个包含八项试验的练习块(即,每个距离按随机顺序进行两项试验)和一个包含三十二项试验的测试块(即每个距离按随机顺序进行八项试验)。练习区让参与者熟悉推杆技术和实验程序。在每次试验中,参与者都被告知推杆距离,并被要求站在相应的起跑线上。当参与者通知实验者他们准备好推杆后,实验者点击鼠标生成开始信号并开始运动学记录。听到开始信号后,参与者开始推杆并尝试将球滚入目标。他们被告知,球停得越接近目标,表现就越好。 球停止滚动后,如果球结束在拍摄区域,第二位实验者会拍一张照片;如果球没有结束在拍摄区域,则拍摄一张纸的照片,注明“太软”或“太硬”。然后,球被归还给参与者,为下一次试验做准备。参与者可以看到球的最终位置,但没有给出其他反馈。
Stop-Signal Task (SST) 停止信号任务 (SST)
The SST ( 海温() consisted of go trials, stop trials and filler trials. Go trials were identical to the trials in the Go Task, that is, participants were asked to make a putt and try to roll the ball into the target after hearing the go-signal. Stop and filler trials were different from go trials. On stop trials, besides the go-signal, a second auditory signal (i.e., the stop-signal) was presented 50 ms after reaching the end of the backswing. This instant in time was used because: (1) Beilock and Gray (Citation2012) found that the differences in stopping performance between experts and novices were only found when a stop-signal was presented during the downswing; (2) our pilot study showed that some participants were unable to stop when the stop-signal occurred longer than 50 ms after the end of the backswing. On filler trials, in addition to the go-signal, a second auditory signal was presented 100–250 ms after ball-putter contact rather than 50 ms after reaching the end of backswing. Filler trials were to ensure that participants did not anticipate stopping at the end of the backswing (Beilock & Gray, Citation2012). In the SST, participants were instructed to stop the putt movement as fast as possible after the stop-signal was presented during the downswing (i.e., stop trials), but they were also instructed to finish the putt and try to roll the ball into the target when no stop-signal occurred (i.e., go trials) or when the stop-signal was after ball-putter contact (i.e., filler trials). It was emphasized that they would make the putt movement in a similar way as they did in Go Task and not to wait for the stop-signal. Participants completed two test blocks of thirty-two trials with short breaks between blocks. Each block comprised of sixteen go trials (i.e., four trials per distance), twelve stop trials (i.e., three trials per distance) and four filler trials (i.e., one trial per distance). The trial type and putting distance were randomized within blocks. Before the test blocks, participants performed a practice block of sixteen trials to familiarize with the procedures. This included two go trials, one stop trial and one filler trial for each distance. Irrespective of performance, the second experimenter took a photograph after participants completed a trial. For go trials and filler trials, the same procedure was followed as in the Go Task. For the stop trials, a photograph was taken from the empty area if participants successfully stopped, otherwise, a photograph of a paper noting “no stop” was taken. We also manually wrote down the outcome of each stop trial. Again, the final position of the ball was visible to participants, but no other feedback was given.
)包括继续试验、停止试验和填充试验。围棋试验与围棋任务中的试验相同,即参与者被要求在听到“围棋”信号后进行推杆并尝试将球滚入目标。停止和填充试验与继续试验不同。在停止试验中,除了开始信号之外,在到达后摆结束后 50 毫秒还会出现第二个听觉信号(即停止信号)。使用这个时间点是因为:(1)Beilock 和 Gray(引文2012 )发现,专家和新手之间的停止表现差异只有在下杆过程中出现停止信号时才会出现; (2) 我们的试点研究表明,当后摆结束后 50 毫秒内出现停止信号时,一些参与者无法停止。在填充试验中,除了启动信号之外,在推杆接触后 100-250 毫秒(而不是到达后挥杆结束后 50 毫秒)出现第二个听觉信号。填充物试验是为了确保参与者不会预期在后摆结束时停止(Beilock & Gray,引文2012 )。在SST中,参与者被要求在下杆过程中出现停止信号后尽快停止推杆运动(即停止试验),但他们也被要求完成推杆并尝试将球滚入球内。当没有停止信号发生时(即,继续试验)或当停止信号发生在球推杆接触之后(即,填料试验)时,目标。他们强调,他们将以与 Go Task 中类似的方式进行推杆动作,而不是等待停止信号。 参与者完成了三十二项试验中的两个测试块,测试块之间有短暂的休息。每个块由十六个走试验(即每个距离四次试验)、十二个停止试验(即每个距离三个试验)和四个填充试验(即每个距离一个试验)组成。试验类型和推杆距离在区块内随机进行。在测试块之前,参与者进行了十六次试验的练习块以熟悉程序。这包括每个距离的两次试行试验、一次停站试验和一次填充试验。无论表现如何,第二位实验者都会在参与者完成试验后拍照。对于 go 试验和填充试验,遵循与 Go 任务中相同的程序。对于停止试验,如果参与者成功停止,则从空白区域拍摄一张照片,否则,拍摄一张注明“禁止停止”的纸的照片。我们还手动记下每次停止试验的结果。同样,参与者可以看到球的最终位置,但没有给出其他反馈。
Procedure and Design 程序和设计
Participants were required to fill out the demographic questionnaire, the MSRS and informed consent a few days before the testing day. On the testing day, participants completed the Go Task and SST in this order (i.e., this allowed participants to familiarize themselves with the putting task before participating in the critical SST, while also permitting us to assess baseline putting performance without any interference of stopping trials, Beilock & Gray, Citation2012). Following the SST, participants filled out a questionnaire designed to access their verbal knowledge of the putting strokes they did during the test.Footnote1
参与者被要求在测试日前几天填写人口统计调查问卷、MSRS 和知情同意书。测试当天,参与者按照这个顺序完成了围棋任务和SST(即,这允许参与者在参加关键的SST之前熟悉推杆任务,同时也允许我们在没有任何停止试验干扰的情况下评估基线推杆表现,Beilock & Gray,引文2012 )。 SST 结束后,参与者填写了一份调查问卷,旨在了解他们在测试期间进行的推杆击球的口头知识。脚注1
Data Analysis 数据分析
Dependent Variables 因变量
The CMP score and MS-C score were calculated separately for each participant. The amount of verbal knowledge was determined by counting the number of separate movement facts and rules (Beilock & Carr, Citation2001; Jie et al., Citation2018). A statement was counted as movement fact or rule if it contained at least one of the following aspects: a reference to the posture, movement direction, velocity, acceleration or force of a limb, a joint, the trunk, other body part, or the putter. A statement was not counted as a rule if it was not related to technical or mechanical aspect of the putting movements (e.g., ‘I looked at the ball’). One rule could only refer to one limb, joint, other body part or the putter. Hence, statements that referred to more than one posture, movement direction, velocity and so on of the same body part or the putter were counted separately. However, comparative statements were counted as one (e.g., ‘I had my right hand below my left hand’). The statements were screened and counted by two independent researchers. Pearson’s product-moment correlation coefficient for the number of movement rules was calculated to assess the reliability between the two researchers. This indicated that the counting by two researchers exhibited good reliability, r(30) = 0.91, p < 0.001.
CMP 分数和 MS-C 分数是为每个参与者单独计算的。言语知识的数量是通过计算单独的运动事实和规则的数量来确定的(Beilock&Carr, Citation 2001 ;Jie et al., Citation 2018 )。如果一个陈述至少包含以下方面之一,则该陈述被视为运动事实或规则:提及肢体、关节、躯干、其他身体部位或身体的姿势、运动方向、速度、加速度或力。推杆。如果陈述与推杆动作的技术或机械方面无关(例如,“我看着球”),则不被视为规则。一项规则只能涉及一个肢体、关节、其他身体部位或推杆。因此,涉及同一身体部位或推杆的不止一种姿势、运动方向、速度等的陈述被单独计算。然而,比较陈述被算作一个(例如,“我的右手在左手下方”)。这些陈述由两名独立研究人员进行筛选和统计。计算运动规则数量的皮尔逊乘积矩相关系数,以评估两位研究人员之间的可靠性。这表明两位研究人员的计数表现出良好的可靠性, r (30)= 0.91, p < 0.001。
To measure putting performance, a putting score was assigned to each go trial. To this end, a custom-made MATLAB routine was firstly used to calculate the proper conversion between pixels in the photograph to meters in the real world. Then the MATLAB routine obtained the x- and y-coordinates of the center of the ball and target in pixels and calculated the distance between them in meters. In some trials, the ball ended so far from the target that it was out of view (i.e., not in the photograph), preventing us to exactly measure the distance. To address this, we implemented a categorical scoring system based on the distance between ball location and the target. To this end, three circles with the target as the center were defined: the radii of the inner circle to the outer circle were 0.15, 0.30, and 0.45 m, respectively (
为了衡量推杆表现,每次试跑都会分配一个推杆得分。为此,首先使用定制的 MATLAB 例程来计算照片中的像素与现实世界中的米之间的正确转换。然后,MATLAB 例程获得球中心和目标的 x 和 y 坐标(以像素为单位),并计算它们之间的距离(以米为单位)。在一些试验中,球的末端距离目标太远,以至于看不见(即不在照片中),从而使我们无法准确测量距离。为了解决这个问题,我们实施了一个基于球位置和目标之间距离的分类评分系统。为此,定义了以目标为中心的三个圆:内圆到外圆的半径分别为0.15、0.30和0.45 m(). The largest circle just fell in the photographed area. A putting score was given based on the area in which the ball stopped, with participants receiving 4 points if the ball ended within the inner circle; 3 and 2 points if the ball ended within the next two circles, and 1 point if the ball ended outside the outer circle (i.e., was not in the photograph). Thus, a higher putting score indicates better putting performance.
)。最大的圆圈正好落入拍摄区域。根据球停在的区域进行推杆得分,如果球停在内圈内,则得 4 分;如果球在接下来的两个圆圈内结束,则得 3 分和 2 分;如果球在外圈之外结束(即不在照片中),则得 1 分。因此,推杆得分越高表示推杆性能越好。
To assess stroke kinematics, the position data of the LED in y-coordinates was processed in MATLAB. The data was first filtered with a second-order, 20 Hz cutoff frequency, low-pass Butterworth filter. Before measuring kinematics, we defined the important time stamps. For both the go and successful stop trials the backswing start time was defined as the frame at which the velocity of the putter got larger than 5% of the peak velocity of backswing and also the 29 consecutive frames were above 5% of the peak velocity of backswing. In addition, the downswing start time was defined as the first frame at which the putter reached the maximum amplitude in the direction opposite to the hitting direction. For successful stop trials, the end time was defined as the first frame at which the velocity of the putter was less than the 10% of the peak velocity of downswing. For the go trials, the ball-putter contact time was defined as the frame at which the putter reached the maximum deceleration during the downswing. In the Go Task and SST, respectively, 4.8% and 3.0% of go trials were removed because either: (1) a trial missed 50 sample points before the end time; (2) the interval between go-signal and the backswing start time was less than 100 ms. In addition, 5.5% of stop trials were removed because of technical errors.Footnote2 The following kinematic measures were derived: for go trials the downswing time (i.e., the time interval between the start of downswing and the ball-putter contact time); for the stop trials, the stopping rate for each participant was calculated as the percentage of stopping trials at which the participants stopped the trial, and for successful stop trials, the stopping time (i.e., the time interval between the stop-signal and the end time).
为了评估行程运动学,在 MATLAB 中处理 LED 的 y 坐标位置数据。首先使用二阶、20 Hz 截止频率、低通巴特沃斯滤波器对数据进行滤波。在测量运动学之前,我们定义了重要的时间戳。对于开始和成功停止试验,后摆开始时间被定义为推杆速度大于后摆峰值速度 5% 的帧,并且连续 29 帧高于后摆峰值速度的 5%。后摆。另外,下挥杆开始时间被定义为推杆在与击球方向相反的方向上达到最大振幅的第一帧。对于成功的停止试验,结束时间定义为推杆速度小于下挥杆峰值速度 10% 的第一帧。对于围棋试验,球推杆接触时间定义为推杆在下杆过程中达到最大减速度的帧。在 Go Task 和 SST 中,分别有 4.8% 和 3.0% 的 Go 试验被删除,因为:(1)试验在结束时间之前错过了 50 个样本点; (2) 发出信号与后摆开始时间之间的间隔小于 100 ms。此外,5.5%的停止试验因技术错误而被删除。脚注2得出以下运动学测量值: 对于围棋试验,下挥杆时间(即下挥杆开始与球推杆接触时间之间的时间间隔);对于停止试验,每个参与者的停止率计算为参与者停止试验的停止试验的百分比,对于成功的停止试验,计算停止时间(即,停止信号和结束时间之间的时间间隔)。
Statistical Analysis 统计分析
Three sets of analyses were pre-planned using the SPSS software (version 29). First, a paired-t tests was performed to compare the putting score on go trials between the Go Task and SST. To also assess performance changes within the two tasks, we grouped the first 10 trials and last 10 trials in both tasks and submitted the putting score to 2 (task: Go Task, SST) by 2 (block: first, last) ANOVA with repeated measures on both factors. Post hoc tests using t-tests with Bonferroni corrections were conducted in case of a significant interaction. Second, Pearson’s product-moment correlation coefficients were used to assess the relationship between the MS-C and CMP scores separately, the amount of verbal knowledge (i.e., the average number of movement facts and rules), and the performance on stop trials (i.e., stopping rate, stopping time). These were one-tailed tests, because we expected higher scores for MS-C, CMP and/or a higher number of movement facts and rules to accompany better inhibition performance (i.e., in the case that both stopping rate and stopping time, as indicator for inhibition performance, were correlated to the same variable, significance level was set at the 0.025 level). After these pre-planned analyses, we performed additional analyses to further explore differences in stroke kinematics of the go trials in the two tasks (see below). Significance levels were set at the 0.05 level. For effect size, partial eta-squared (ηp2) were used with ANOVAs and d were calculated for t-tests.
使用 SPSS 软件(版本 29)预先计划了三组分析。首先,进行配对 t 测试来比较 Go Task 和 SST 的围棋试验推杆得分。为了评估这两项任务中的表现变化,我们将这两项任务中的前 10 次试验和最后 10 次试验分组,并将推杆分数提交给 2(任务:Go Task,SST)乘以 2(块:第一个、最后一个)方差分析,并重复对这两个因素进行衡量。在存在显着交互作用的情况下,使用 t 检验和 Bonferroni 校正进行事后检验。其次,皮尔逊的乘积矩相关系数用于分别评估 MS-C 和 CMP 分数之间的关系、言语知识量(即运动事实和规则的平均数量)以及停止试验的表现(即、停止率、停止时间)。这些是单尾测试,因为我们预计 MS-C、CMP 得分更高,和/或更多的运动事实和规则,以伴随更好的抑制性能(即,在停止率和停止时间都作为指标的情况下)对于抑制性能,与相同变量相关,显着性水平设置为 0.025 水平)。在这些预先计划的分析之后,我们进行了额外的分析,以进一步探索这两项任务中 go 试验的中风运动学差异(见下文)。显着性水平设定为0.05水平。对于效应大小,部分 eta 平方 ( η p 2 ) 与方差分析一起使用,并计算d进行 t 检验。
Results 结果
The paired-t test revealed that the putting score was significantly higher in the SST than in the Go Task, t(66) = 2.32, p = 0.02, d = 0.28 (SST: 2.3 ± 0.3, Go Task: 2.2 ± 0.3). To also assess performance changes within the two tasks, a 2 (task: Go Task, SST) by 2 (block: first, last) ANOVA with repeated measures on both factors was conducted, which revealed that the putting score differed significantly between tasks, F(1,66) = 10.39, p = 0.002, ηp2 = 0.14, and blocks, F(1,66) = 6.86, p = 0.011, ηp2 = 0.09. Importantly, an interaction between block and task was also found, F(1,66) = 12.09, p < 0.001, ηp2 = 0.16 (
配对 t 检验显示,SST 中的推杆得分显着高于 Go 任务,t(66) = 2.32, p = 0.02, d = 0.28(SST:2.3 ± 0.3,Go Task:2.2 ± 0.3) 。为了评估这两项任务中的表现变化,我们对这两个因素进行了 2(任务:Go 任务、SST)乘 2(块:第一个、最后一个)方差分析,并重复测量这两个因素,结果表明任务之间的推杆分数存在显着差异, F(1,66) = 10.39, p = 0.002, η p 2 = 0.14,并且块,F(1,66) = 6.86, p = 0.011, η p 2 = 0.09。重要的是,还发现了块和任务之间的交互作用,F(1,66) = 12.09, p < 0.001, η p 2 = 0.16 (). Post hoc comparisons indicated that the putting score in the first block of the Go Task was significantly lower than in the last block of the Go Task, and in the first and last block of the SST. The first and last block of the SST did not differ.
)。事后比较表明,Go 任务的第一个区块的推杆得分显着低于 Go 任务的最后一个区块以及 SST 的第一个和最后一个区块。 SST 的第一个和最后一个块没有区别。
shows the outcomes of the Pearson’s correlation analyses. The significant correlations were limited to the MS-C factor. A significant positive correlation was found between MS-C score and stopping rate (p = 0.02), indicating that higher MS-C scores were associated with more successful stopping. In addition, a significant positive correlation between MS-C score and stopping time was found (p = 0.016Footnote3), indicating that higher MS-C scores were associated with longer stopping time. We did not find significant positive or negative correlations between CMP score and stopping rate (p = 0.23) and stopping time (p = 0.47), respectively. Additionally, no positive or negative correlations were revealed between the amount of verbal knowledge and stopping rate (p = 0.45) and stopping time (p = 0.36), respectively. Finally, Pearson’s correlation analysis also did not discern positive correlations between the amount of verbal knowledge and MS-C score (p = 0.17), CMP score (p = 0.47).
显示 Pearson 相关分析的结果。显着相关性仅限于 MS-C 因子。 MS-C 评分与停止率之间存在显着正相关性 ( p = 0.02),表明 MS-C 评分越高,停止成功率越高。此外,还发现 MS-C 评分与停止时间之间存在显着正相关( p = 0.016脚注3 ),表明较高的 MS-C 评分与较长的停止时间相关。我们没有发现 CMP 分数与停止率 ( p = 0.23) 和停止时间 ( p = 0.47) 之间分别存在显着的正相关或负相关。此外,言语知识量与停止率( p = 0.45)和停止时间( p = 0.36)之间没有显示出正相关或负相关。最后,Pearson 的相关分析也没有发现言语知识量与 MS-C 分数( p = 0.17)、CMP 分数( p = 0.47)之间的正相关性。
Although we found a significant correlation between MS-C score and stopping time, the direction was not as we expected. In other words, although participants with higher MS-C score, which is interpreted as having a higher inclination for conscious movement monitoring, were found to have higher stopping rates, they did not show shorter stopping time. In addition, we had not anticipated that more successful, higher stopping rates would be associated with longer stopping time, but we found that a higher stopping rate was significantly correlated with longer stopping time (p < 0.001). To further explore these findings, we considered two possible explanations. First, participants may have intentionally adjusted the stroke kinematics in the SST in response to the stopping requirement. In particular, they may have slowed down the time for downswing to gain more time to ensure successful stopping in the SST compared to the Go Task. Alternatively, rather than intentionally adjusting the stroke kinematics in the SST, some participants may have swing kinematics that hinder stopping, while swing kinematics of other participants may facilitate stopping. In other words, the inherent swing kinematics may have indirectly affected inhibition. In particular, participants who show a shorter downswing time have less time to successfully stop in the SST than participants who show a longer downswing time.
尽管我们发现 MS-C 分数和停止时间之间存在显着相关性,但方向并不像我们预期的那样。换句话说,虽然 MS-C 分数较高(被解释为有意识运动监测倾向较高)的参与者被发现具有较高的停止率,但他们并没有表现出较短的停止时间。此外,我们没有预料到更成功、更高的停止率会与更长的停止时间相关,但我们发现更高的停止率与更长的停止时间显着相关( p <0.001)。为了进一步探讨这些发现,我们考虑了两种可能的解释。首先,参与者可能有意调整 SST 中的划水运动学以响应停止要求。特别是,与 Go 任务相比,他们可能会减慢下杆的时间,以获得更多的时间来确保在 SST 中成功停止。或者,一些参与者可能具有阻碍停止的摆动运动学,而其他参与者的摆动运动学可能有助于停止,而不是有意地调整SST中的击球运动学。换句话说,固有的摆动运动学可能间接影响了抑制作用。特别是,与表现出较长下摆时间的参与者相比,表现出较短下摆时间的参与者在 SST 中成功停止的时间更少。
To find out which explanation is more likely, we firstly submitted downswing time to a 2 (task: Go Task, SST) by 2 (block: first, last) ANOVA with repeated measures on both factors. If the first explanation is correct, then we would expect to find longer downswing time in the SST compared to the Go Task, and especially in comparison with the last block of the Go Task (as performance was not yet stabilized in the first block of the Go Task, see above). This pattern was not found. Instead, two-way repeated measures ANOVA for the downswing time did show a significant effect of task, F(1,66) = 5.71, p = 0.02, ηp2 = 0.08 and a significant interaction between task and block, F(1,66) = 11.75, p = 0.001, ηp2 = 0.15. Post hoc comparisons indicated that the downswing time in the last block of the SST (0.34 ± 0.08s) was significantly shorter (not longer) than in the last block of the Go Task (0.36 ± 0.09s). No other differences were found.
为了找出哪种解释更有可能,我们首先将下降时间提交给 2(任务:Go Task,SST)乘 2(块:第一个,最后一个)方差分析,并对这两个因素进行重复测量。如果第一个解释是正确的,那么我们预计与 Go 任务相比,SST 中会出现更长的下降时间,特别是与 Go 任务的最后一个块相比(因为在第一个块中性能尚未稳定)执行任务,见上文)。没有找到这个模式。相反,下降时间的双向重复测量方差分析确实显示了任务的显着影响,F(1,66) = 5.71, p = 0.02, η p 2 = 0.08,以及任务和块之间的显着交互作用,F(1 ,66) = 11.75, p = 0.001, η p 2 = 0.15。事后比较表明,SST 最后一个块的下摆时间(0.34±0.08s)明显短于(不是更长)Go Task 最后一个块的下摆时间(0.36±0.09s)。没有发现其他差异。
If the second explanation is correct, then the relations between MS-C score and stopping rate and stopping time would be mediated by the downswing time in the SST. The Model 4 of PROCESS Macro for SPSS was used to conduct a mediation analysis, which estimates indirect effects using a non-parametric bootstrapping method (Hayes, Citation2017). If the bootstrap confidence intervals (CI) of the indirect effect do not include zero, the indirect effect is significant.
如果第二种解释是正确的,那么 MS-C 分数与停止率和停止时间之间的关系将由 SST 的下降时间来调节。 SPSS PROCESS Macro 的模型 4 用于进行中介分析,该分析使用非参数引导方法估计间接影响(Hayes,引文2017 )。如果间接效应的自举置信区间 (CI) 不包括零,则间接效应显着。 shows the unstandardized regression coefficients of the mediation model for predicting the effect of MS-C score on stopping rate via downswing time. As can be seen in
显示了中介模型的非标准化回归系数,用于预测 MS-C 分数通过下杆时间对停止率的影响。可以看出, the MS-C score was positively correlated with downswing time, that is, the higher the MS-C score, the longer the downswing time (B = 0.005, p = 0.019). And the downswing time was positively correlated with stopping rate, indicating that the longer the downswing time, the higher stopping rate (B = 322.334, p < 0.001). The total effect of MS-C score on stopping rate was significant (p = 0.047, 95% CI = 0.026 to 3.197). The bootstrap CI based on 5000 bootstrap resamples was entirely above zero, 95% CI = 0.176 to 2.907, indicating that the indirect effect of MS-C score on stopping rate was significant. In addition, no direct effect of the MS-C score on stopping rate was found (B = 0.071, p = 0.886, 95% CI = −0.916 to 1.058). These results suggest that individuals with a higher MS-C, indicating a higher inclination for conscious movement monitoring, showed longer downswing time, which, in turn, increased the stopping rate.
,MS-C得分与下挥杆时间呈正相关,即MS-C得分越高,下挥杆时间越长( B = 0.005, p = 0.019)。并且下降时间与停止率呈正相关,表明下降时间越长,停止率越高( B = 322.334, p < 0.001)。 MS-C 评分对停止率的总影响显着( p = 0.047,95% CI = 0.026 至 3.197)。基于 5000 个 bootstrap 重采样的 bootstrap CI 完全高于零,95% CI = 0.176 至 2.907,表明 MS-C 评分对停止率的间接影响显着。此外,未发现 MS-C 评分对停止率有直接影响( B = 0.071, p = 0.886,95% CI = -0.916 至 1.058)。这些结果表明,MS-C 较高的个体(表明有意识运动监测的倾向较高)表现出较长的下杆时间,这反过来又增加了停止率。
Similarly, 相似地, shows the unstandardized regression coefficients of the mediation model for predicting the effect of the MS-C score on stopping time via downswing time in the SST. It again shows that MS-C score was associated with downswing time, indicating that the higher MS-C score, the longer the downswing time (B = 0.004, p = 0.042). It also shows that the downswing time was associated with stopping time, which implies that the longer the downswing time, the longer the stopping time (B = 924.782, p < 0.001). The total effect of MS-C score on stopping time was significant, p = 0.028, 95% CI = 0.520 to 8.928. The bootstrap CI based on 5000 bootstrap resamples included zero, 95% CI = −0.100 to 7.808, indicating that there was no indirect effect of MS-C score on stopping time. In addition, the direct effect of MS-C score on stopping time was not significant, B = 0.981, p = 0.388, 95% CI = −1.276 to 3.237. These results indicate that the individuals with higher MS-C score, indicating higher inclination for conscious investment in movement monitoring, showed longer stopping time in the SST, but no mediation effect of downswing time was found.
显示了中介模型的非标准化回归系数,用于通过SST 中的下降时间来预测 MS-C 分数对停止时间的影响。再次表明,MS-C 得分与下杆时间相关,表明 MS-C 得分越高,下杆时间越长( B = 0.004, p = 0.042)。它还表明,下摆时间与停止时间相关,这意味着下摆时间越长,停止时间就越长( B = 924.782, p < 0.001)。 MS-C 评分对停止时间的总影响显着, p = 0.028,95% CI = 0.520 至 8.928。基于 5000 个 bootstrap 重采样的 bootstrap CI 包括零、95% CI = -0.100 至 7.808,表明 MS-C 评分对停止时间没有间接影响。此外,MS-C评分对停止时间的直接影响并不显着, B = 0.981, p = 0.388,95% CI = -1.276至3.237。这些结果表明,MS-C 得分较高的个体,表明在运动监测方面有意识投入的倾向较高,在 SST 中表现出较长的停止时间,但没有发现下杆时间的中介作用。
Discussion 讨论
Increased levels of conscious investment in movement monitoring and control have typically been shown to impair motor performance in sports (Beilock & Carr, Citation2001; Masters, Citation1992; Maxwell et al., Citation2006). Notably, however, two recent studies have reported discordant findings with respect to inhibition: persons that are more likely to consciously invest in movement monitoring and control demonstrate better and faster stopping of movement (Beilock & Gray, Citation2012; Park et al., Citation2020). The present study set out to further explore this association. We reasoned, grounded in ecological psychology and dynamic systems approaches, that the observed association emerges because conscious investment in movement monitoring and control acts to reduce the number of individual degrees of freedom to be controlled (Lohse et al., Citation2010; van Ginneken et al., Citation2018), thereby allowing faster inhibition compared to when movement control is distributed over a larger number of degrees of freedom (Hervault et al., Citation2021). Consistent with our hypothesis, we found that individuals with higher scores on the MS-C factor of the MSRS, which following earlier proposals by Malhotra et al. (Citation2015, see also Jackson et al., Citation2006) can be associated with higher inclinations for conscious investment in the monitoring of movement without actively interfering in its execution, displayed higher stopping rate. However, we also found that individuals who stopped more often showed longer stopping time, while shorter stopping time were expected. By contrast, no associations were found for the CMP factor, which is associated with the inclination for conscious movement control (Jackson et al., Citation2006; Malhotra et al., Citation2015), and stopping variables, and also the amount of verbal knowledge did not predict stopping performance. Additional exploration of movement kinematics suggested that participants with a low MS-C score or a low inclination for conscious movement monitoring made relatively fast downswings, which were less often successfully stopped, but if they were successfully inhibited then the stopping time were necessary short. Conversely, individuals with a high MS-C score or a high inclination for conscious movement monitoring tended to make slower downswings, which granted more successful stopping.
增加对运动监测和控制的有意识投入通常会损害运动中的运动表现(Beilock & Carr, Citation 2001 ;Masters, Citation 1992 ;Maxwell 等人, Citation 2006 )。然而,值得注意的是,最近的两项研究报告了关于抑制的不一致的结果:更有可能有意识地投资于运动监测和控制的人表现出更好更快的停止运动(Beilock & Gray, Citation 2012 ;Park et al., Citation) 2020 )。本研究旨在进一步探讨这种关联。基于生态心理学和动态系统方法,我们推断,所观察到的关联的出现是因为有意识地投资于运动监测和控制,从而减少了受控制的个体自由度的数量(Lohse 等人,引文2010 ;van Ginneken 等人)等人,引文2018 ),从而与运动控制分布在更大数量的自由度上时相比,可以实现更快的抑制(Hervault 等人,引文2021 )。与我们的假设一致,我们发现在 MSRS 的 MS-C 因子上得分较高的个体,这遵循 Malhotra 等人的早期提议。 (引文2015 ,另见 Jackson 等人,2015 年),引文2006 )可能与有意识地投资于运动监控而不主动干预其执行的更高倾向相关,显示出更高的停止率。然而,我们还发现,经常停车的人表现出更长的停车时间,而预期的停车时间更短。相比之下,没有发现 CMP 因素的关联,该因素与有意识运动控制的倾向有关(Jackson 等人, Citation 2006 ;Malhotra 等人, Citation 2015 )、停止变量以及言语量。知识并不能预测停止表现。对运动运动学的进一步探索表明,MS-C 分数较低或有意识运动监测倾向较低的参与者会做出相对较快的下挥杆,成功停止的情况较少,但如果成功抑制,则停止时间必须很短。相反,MS-C 分数高或有意识运动监测倾向高的人往往下杆速度较慢,从而更成功地停止。
These findings provide partial support for our original hypothesis. We anticipated that probable higher levels of conscious movement investment would promote inhibition or stopping rate, because it would promote shorter stopping time. Yet, we found that individuals with higher inclination for conscious movement monitoring (but not control) managed to stop more often but tended to have longer stopping time. One possible cause for this paradoxical result would be that these individuals prolonged the duration of the downswing to have more time to stop. Yet, no clear adjustments and certainly no lengthening occurred in the temporal characteristics of the downswing in the block with stop trials (i.e., SST) relative to the block without stop trials (i.e., Go Task), making a strategic adjustment in swing kinematics unlikely. Rather, the observed mediation effect of the kinematic characteristics of the downswing (i.e., downswing time) on the relation between MS-C score and stopping rate, indicate that individuals with a lower inclination for conscious movement monitoring show kinematic features in their downswing that make it harder to stop the putt successfully. We suspect that a high inclination for conscious movement monitoring perhaps invites a putting style with a relatively slow downswing (which perhaps is more apt for monitoring). Such a strategy would be consistent with previous studies. For example, novice golfers exhibited a longer time interval between start of downswing and peak acceleration when they consciously focusing on gripping the club and the position of elbows compared to when they are focusing on the target (Pelleck & Passmore, Citation2017). In this respect, other studies confirm that an internal focus of attention toward movement execution increases conscious movement monitoring and control relative to an external focus of attention (e.g., Poolton et al., Citation2006). It is also reminiscent of previous observations by Malhotra et al. (Citation2014), who showed that individuals with higher inclination for conscious movement monitoring performed more slowly on novel and well-practiced laparoscopic tasks. Importantly, this explanation implies that (the inclination for) conscious movement monitoring (and control) does not directly affect inhibition performance. Instead, the association would largely be indirect, which is partially confirmed by the mediation analyses. Increased conscious movement monitoring may induce movement styles that make it easier to halt the movement.
这些发现为我们最初的假设提供了部分支持。我们预计,可能更高水平的有意识运动投资将促进抑制或停止率,因为它会缩短停止时间。然而,我们发现,更倾向于有意识的运动监测(而不是控制)的人能够更频繁地停下来,但往往有更长的停止时间。造成这种矛盾结果的一个可能原因是这些人延长了下风期的持续时间,以便有更多的时间停止。然而,相对于没有停止试验的区块(即Go Task),有停止试验的区块(即SST)的下挥杆的时间特征没有发生明显的调整,当然也没有发生延长,这使得挥杆运动学的策略调整不太可能。相反,观察到的下挥杆运动学特征(即下挥杆时间)对 MS-C 得分和停止率之间关系的中介作用表明,意识运动监测倾向较低的个体在下挥杆时表现出运动学特征,这使得更难成功地停止推杆。我们怀疑,有意识的运动监控的高度倾向可能会导致下挥杆相对缓慢的推杆风格(这可能更适合监控)。这样的策略与之前的研究是一致的。例如,新手高尔夫球手在有意识地专注于握杆和肘部位置时,与专注于目标时相比,在下杆开始和峰值加速之间表现出更长的时间间隔(Pelleck & Passmore,引文2017 )。 在这方面,其他研究证实,相对于外部注意力焦点,对运动执行的内部注意力焦点增加了有意识的运动监控和控制(例如,Poolton等人,引文2006 )。这也让人想起 Malhotra 等人之前的观察。 (引文2014 ),他表明,更倾向于有意识运动监测的个体在新颖且熟练的腹腔镜任务中表现得更慢。重要的是,这种解释意味着有意识的运动监测(和控制)(的倾向)并不直接影响抑制表现。相反,这种关联很大程度上是间接的,中介分析部分证实了这一点。增加有意识的运动监测可能会诱发更容易停止运动的运动方式。
Our results differed from those of Beilock and Gray (Citation2012), who observed that novices, who presumably have increased levels of conscious investment in movement monitoring and control (i.e., novices), had reduced stopping time compared to skilled golf players. They did not report differences in stopping rate. It is not immediately clear why the relation between conscious movement investment and stopping time appears opposite in the two studies, but it may stem from methodological differences. Most importantly, Beilock and Gray (Citation2012) refer to differences between novices to skilled players when referring to a decrease in stopping time, while we refer to differences within a group of novice players. Also, Beilock and Gray (Citation2012) had the stop-signal in both the backswing and downswing phases, while we had restricted the stop-signal to the downswing phase only.
我们的结果与 Beilock 和 Gray 的结果不同(引文2012 ),他们观察到,与熟练的高尔夫球手相比,新手可能在运动监控和控制方面有意识地投入更多(即新手),因此减少了停止时间。他们没有报告停止率的差异。目前尚不清楚为什么两项研究中有意识的运动投入和停止时间之间的关系看起来相反,但这可能源于方法论上的差异。最重要的是,Beilock 和 Gray( Citation 2012 )在提到停止时间的减少时提到了新手与熟练玩家之间的差异,而我们则指的是一组新手玩家之间的差异。此外,Beilock 和 Gray( Citation 2012 )在上杆和下杆阶段都有停止信号,而我们仅将停止信号限制在下杆阶段。
Beforehand, we anticipated similar associations with inhibition for conscious movement monitoring and conscious movement control. However, unlike for conscious movement monitoring (as measured by the MS-C factor of the MSRS), no relationships were found between the inclination for conscious movement control (i.e., as measured by the CMP factor) and the inhibition performance, and not with the downswing time either. We can only speculate about the absence of these relationships (e.g., conscious movement control might manifest itself more strongly in the planning before rather than during the stroke, Beilock & Gray, Citation2012), but it may be consistent with the nonappearance of any relationship with the amount of declarative knowledge reported by the participants. Yet, this lack of association with the amount of declarative knowledge in itself needs careful interpretation, because only a subsample of participants filled out the verbal knowledge protocol. Additionally, since the final trial before completing the verbal knowledge protocol could also be a stop trial, we asked participants to recall how in general they made the putting movement rather than during the final trial, as is typically done in this protocol. Accordingly, participants may have tended to recall generic knowledge of putting strokes instead of the episodic knowledge that more directly reflects actual investment of conscious movement control (Beilock & Carr, Citation2001).
之前,我们预计有意识运动监测和有意识运动控制与抑制存在类似的关联。然而,与有意识运动监测(通过 MSRS 的 MS-C 因子测量)不同,在有意识运动控制倾向(即通过 CMP 因子测量)和抑制性能之间没有发现任何关系,并且与抑制性能没有关系。下风期也一样。我们只能推测这些关系是否不存在(例如,有意识的运动控制可能在中风之前而不是中风期间的计划中表现得更强烈,Beilock & Gray, Citation 2012 ),但这可能与任何关系的不出现一致以及参与者报告的陈述性知识量。然而,这种与陈述性知识量本身缺乏关联的情况需要仔细解释,因为只有一小部分参与者填写了口头知识协议。此外,由于完成口头知识协议之前的最终试验也可能是停止试验,因此我们要求参与者回忆他们一般如何进行推杆动作,而不是像本协议中通常所做的那样在最终试验期间进行。因此,参与者可能倾向于回忆击球的一般知识,而不是更直接反映有意识运动控制的实际投入的情景知识(Beilock&Carr, Citation 2001 )。
Limitations 局限性
The current study suggests that conscious movement monitoring is associated with the ability to inhibit or halt a movement. However, the findings should be interpreted cautiously. First, the current study differentiated individuals on their predisposition or inclination (i.e., a relatively stable trait) instead of measuring the actual degree or state of conscious movement monitoring (and control). Consequently, we are unable to ascertain the degree to which participants were actually consciously controlling or monitoring the putting movements (Malhotra et al., Citation2015). This may be investigated by directly manipulating the degree of conscious movement monitoring and control, for instance, by making a within-group comparison between instruction conditions that induce a relative increase or reduction in conscious attention to the movement (e.g., internal versus external focus of attention, Poolton et al., Citation2006). Second, methodological issues with the retrospective verbal protocols also kept us from adequately verifying the degree of conscious movement investment in monitoring and control. It is important that future studies ensure that last trial is a go trial rather than a stop trial, such that participants can be asked to recall the last putt. Third, within our theoretical perspective it is of importance to address the actual movement control. In particular, it is of interest to examine differences in the degree to which control is distributed across different degrees of freedom with increases of conscious investment in movement. There is no agreement in the literature how this can be assessed in golf putting (Land & Tenenbaum, Citation2012; Tucker et al., Citation2013). Malhotra et al. (Citation2015), for example, investigated inter-trial variability in stroke kinematics but possibly a more formal uncontrolled manifold analysis can be adopted as well (Scholz & Schöner, Citation1999).
目前的研究表明,有意识的运动监测与抑制或停止运动的能力有关。然而,应该谨慎解释研究结果。首先,当前的研究根据个体的倾向或倾向(即相对稳定的特征)来区分个体,而不是测量有意识运动监测(和控制)的实际程度或状态。因此,我们无法确定参与者实际上有意识地控制或监控推杆动作的程度(Malhotra 等人,引文2015 )。这可以通过直接操纵有意识运动监测和控制的程度来研究,例如,通过在导致对运动的有意识注意力相对增加或减少的指导条件之间进行组内比较(例如,内部与外部焦点的比较)。注意,Poolton 等人,引文2006 )。其次,回顾性口头协议的方法论问题也使我们无法充分验证有意识的运动在监测和控制方面的投资程度。重要的是,未来的研究应确保最后一次试验是继续试验而不是停止试验,以便可以要求参与者回忆最后一次推杆。第三,从我们的理论角度来看,解决实际的运动控制问题很重要。特别值得关注的是,随着有意识的运动投入的增加,控制权在不同自由度上的分配程度的差异。 文献中对于如何在高尔夫推杆中评估这一点没有达成一致(Land & Tenenbaum, Citation 2012 ;Tucker 等人, Citation 2013 )。马尔霍特拉等人。例如,( Citation 2015 )研究了中风运动学的试验间变异性,但也可能采用更正式的非受控流形分析(Scholz & Schöner, Citation 1999 )。
Conclusion 结论
In the current study, we further investigated the purported relationship between conscious movement monitoring and control and inhibition in a more complex putting task, where conscious movement investment is more likely to occur (Beilock & Gray, Citation2012). The current study, however, did not provide further evidence that probable increased levels of conscious movement monitoring and control goes to together with better inhibition performance. Instead, the present findings suggest that the relationship is more indirect, with individuals that are more likely to consciously monitor movement possibly producing slower movements that are easier to stop or inhibit.
在当前的研究中,我们进一步研究了在更复杂的推杆任务中,有意识的运动监测和控制与抑制之间的关系,在该任务中更有可能发生有意识的运动投入(Beilock&Gray,引文2012 )。然而,目前的研究没有提供进一步的证据来证明有意识运动监测和控制水平的提高可能与更好的抑制表现有关。相反,目前的研究结果表明,这种关系更为间接,更有可能有意识地监控运动的个体可能会产生更慢的运动,更容易停止或抑制。
Acknowledgments 致谢
This study was made possible by a grant of the China Scholarship Council (#201808310176). We would like to thank all participants’ cooperation and two master students who assist in the data collection.
这项研究得到了中国国家留学基金委的资助(#201808310176)。我们要感谢所有参与者的合作以及协助数据收集的两位硕士生。
Disclosure statement 披露声明
The authors report there are no competing interests to declare.
作者报告说,没有需要申报的竞争利益。
Additional information 附加信息
Funding 资金
作者报告说,本文中的工作没有相关的资助。
Notes 笔记
1 36 participants also participated in a second subsequent study (data are not reported here). Because the subsequent study involved a learning intervention, we aimed to prevent that these participants would become aware of movement related rules and facts from filling out the verbal knowledge protocol. Hence, these 36 participants did not complete the verbal protocol to gauge their verbal knowledge. In addition, one further participant did not fill out the protocol. Therefore, the current study measured the verbal knowledge of 30 participants.
1 36 名参与者还参加了第二项后续研究(此处未报告数据)。由于后续研究涉及学习干预,我们的目的是防止这些参与者通过填写口头知识协议来了解与运动相关的规则和事实。因此,这 36 名参与者没有完成口头协议来衡量他们的口头知识。此外,还有一名参与者没有填写协议。因此,本研究测量了 30 名参与者的言语知识。
2 The stop-signal was designed to appear 50ms after the end of backswing was reached. However, on some stop trials, the LED attached on the putter was not fully in view of the camera. Consequently, the end of backswing could not be calculated and thus the stop-signal did not occur.
2 停止信号设计为在后摆结束后 50 毫秒出现。然而,在一些停止试验中,推杆上安装的 LED 并未完全处于摄像机视野中。因此,无法计算后摆的终点,因此没有出现停止信号。
3 We performed a one-tailed correlation analysis because we hypothesized a negative relationship between the MS-C score and stopping time. However, since the relationship was positive, it is important to report that the relationship was found nearly significant following a two-tailed test, p = 0.03 (i.e., α = 0.025).
3 我们进行了单尾相关分析,因为我们假设 MS-C 分数与停止时间之间存在负相关关系。然而,由于这种关系是正向的,因此有必要报告一下,在双尾检验后发现这种关系几乎显着, p = 0.03(即 α = 0.025)。
REFERENCES 参考
- Beilock, S. L., & Carr, T. H. (2001). On the fragility of skilled performance: What governs choking under pressure? Journal of Experimental Psychology General, 130(4), 701–725. https://doi.org/10.1037/0096-3445.130.4.701
贝洛克,SL 和卡尔,TH (2001)。关于熟练表现的脆弱性:什么控制着压力下的窒息?实验心理学杂志综合, 130 ( 4 ),701-725。 https://doi.org/10.1037/0096-3445.130.4.701 - Beilock, S. L., Carr, T. H., MacMahon, C., & Starkes, J. L. (2002). When paying attention becomes counterproductive: Impact of divided versus skill-focused attention on novice and experienced performance of sensorimotor skills. Journal of Experimental Psychology. Applied, 8(1), 6–16. https://doi.org/10.1037/1076-898x.8.1.6
Beilock, SL、Carr, TH、MacMahon, C. 和 Starkes, JL (2002)。当注意力变得适得其反时:分散的注意力与专注于技能的注意力对新手和经验丰富的感觉运动技能表现的影响。实验心理学杂志。应用, 8 ( 1 ),6-16。 https://doi.org/10.1037/1076-898x.8.1.6 - Beilock, S. L., & Gray, R. (2012). From attentional control to attentional spillover: A skill-level investigation of attention, movement, and performance outcomes. Human Movement Science, 31(6), 1473–1499. https://doi.org/10.1016/j.humov.2012.02.014
Beilock, SL 和 Gray, R. (2012)。从注意力控制到注意力溢出:对注意力、运动和表现结果的技能水平调查。人体运动科学, 31 ( 6 ),1473-1499。 https://doi.org/10.1016/j.humov.2012.02.014 - Bernstein, N. A. (1967). The Co-Ordination and Regulation of Movements. Pergamon Press.
北卡罗来纳州伯恩斯坦 (1967)。运动的协调和调节。佩加蒙出版社。 - Chell, B. J., Graydon, J. K., Crowley, P. L., & Child, M. (2003). Manipulated stress and dispositional reinvestment in a wall-volley task: An investigation into controlled processing. Perceptual and Motor Skills, 97(2), 435–448. https://doi.org/10.2466/pms.2003.97.2.435
Chell, BJ、Graydon, JK、Crowley, PL 和 Child, M. (2003)。墙上齐射任务中的操纵压力和性格再投资:对受控处理的调查。知觉和运动技能, 97 ( 2 ),435–448。 https://doi.org/10.2466/pms.2003.97.2.435 - Davids, K., Araújo, D., Vilar, L., Renshaw, I., & Pinder, R. (2013). An ecological dynamics approach to skill acquisition: Implications for development of talent in sport. Talent Development and Excellence, 5(1), 21–34.
Davids, K.、Araújo, D.、Vilar, L.、Renshaw, I. 和 Pinder, R. (2013)。技能获取的生态动力学方法:对体育人才发展的影响。人才发展与卓越, 5 (1), 21–34。 - Fitts, P. M., & Posner, M. I. (1967). Human performance.
菲茨,PM 和波斯纳,密歇根州 (1967)。人类的表现。 - Gibson, J. J. (1979). The ecological approach to visual perception. Houghton, Mifflin and Company.
吉布森,JJ (1979)。视觉感知的生态方法。霍顿米夫林公司。 - Gray, R. (2004). Attending to the execution of a complex sensorimotor skill: Expertise differences, choking, and slumps. Journal of Experimental Psychology. Applied, 10(1), 42–54. https://doi.org/10.1037/1076-898X.10.1.42
格雷,R.(2004)。负责执行复杂的感觉运动技能:专业知识差异、窒息和低迷。实验心理学杂志。应用, 10 ( 1 ),42-54。 https://doi.org/10.1037/1076-898X.10.1.42 - Gray, R. (2006). Expertise differences in attentional control between and within baseball batters. Paper Presented at the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. https://doi.org/10.1177/154193120605001629
格雷,R.(2006)。棒球击球手之间和内部在注意力控制方面的专业知识差异。在人为因素和人体工程学协会年会上发表的论文。 https://doi.org/10.1177/154193120605001629 - Gray, R. (2009). A model of motor inhibition for a complex skill: Baseball batting. Journal of Experimental Psychology. Applied, 15(2), 91–105. https://doi.org/10.1037/a0015591
格雷,R.(2009)。复杂技能的运动抑制模型:棒球击球。实验心理学杂志。应用, 15 ( 2 ),91-105。 https://doi.org/10.1037/a0015591 - Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
海耶斯,AF (2017)。中介、调节和条件过程分析简介:基于回归的方法。吉尔福德出版社。 - Hervault, M., Huys, R., Buisson, J.-C., Francheteau, M., Siguier, P., & Zanone, P.-G. (2021). To start or stop an action depends on which movement we perform: An appraisal of the horse–race model. Acta Psychologica, 217, 103332. https://doi.org/10.1016/j.actpsy.2021.103332
Hervault, M.、Huys, R.、Buisson, J.-C.、Francheteau, M.、Siguier, P. 和 Zanone, P.-G. (2021)。开始或停止一个动作取决于我们执行的动作:赛马模型的评估。心理学报, 217,103332。https ://doi.org/10.1016/j.actpsy.2021.103332 - Higuchi, T., Imanaka, K., & Hatayama, T. (2002). Freezing degrees of freedom under stress: Kinematic evidence of constrained movement strategies. Human Movement Science, 21(5–6), 831–846. https://doi.org/10.1016/s0167-9457(02)00174-4
樋口 T.、今中 K. 和畑山 T. (2002)。压力下冻结自由度:约束运动策略的运动学证据。人体运动科学, 21 ( 5-6 ),831-846。 https://doi.org/10.1016/s0167-9457(02)00174-4 - Jackson, R. C., Ashford, K. J., & Norsworthy, G. (2006). Attentional focus, dispositional reinvestment, and skilled motor performance under pressure. Journal of Sport and Exercise Psychology, 28(1), 49–68. https://doi.org/10.1123/jsep.28.1.49
RC 杰克逊、KJ 阿什福德和 G 诺斯沃西 (2006)。注意力集中、性格再投资以及压力下熟练的运动表现。运动与运动心理学杂志, 28 ( 1 ),49-68。 https://doi.org/10.1123/jsep.28.1.49 - Jackson, R. C., Kinrade, N. P., Hicks, T., & Wills, R. (2013). Individual propensity for reinvestment: Field-based evidence for the predictive validity of three scales. International Journal of Sport Psychology, 44(4), 331–350.
杰克逊 RC、金拉德 NP、希克斯 T. 和威尔斯 R. (2013)。个人再投资倾向:三个量表预测有效性的实地证据。国际运动心理学杂志, 44 (4),331-350。 - Jie, L. J., Kleynen, M., Meijer, K., Beurskens, A., & Braun, S. (2018). The effects of implicit and explicit motor learning in gait rehabilitation of people after stroke: Protocol for a randomized controlled trial. JMIR Research Protocols, 7(5), e142. https://doi.org/10.2196/resprot.9595
Jie, LJ、Kleynen, M.、Meijer, K.、Beurskens, A. 和 Braun, S. (2018)。内隐和外显运动学习对中风后患者步态康复的影响:随机对照试验方案。 JMIR 研究协议, 7 ( 5 ),e142。 https://doi.org/10.2196/resprot.9595 - Keele, S. W. (1968). Movement control in skilled motor performance. Psychological Bulletin, 70(6, Pt.1), 387–403. https://doi.org/10.1037/h0026739
基尔,西南 (1968)。熟练运动表现中的运动控制。心理学通报, 70 ( 6,第 1 部分),387–403。 https://doi.org/10.1037/h0026739 - Kugler, P. N., Kelso, J. S., & Turvey, M. T. (1980). 1 on the concept of coordinative structures as dissipative structures: I. theoretical lines of convergence. In Advances in psychology (Vol. 1, pp. 3–47). Elsevier.
PN 库格勒、JS 凯尔索和 MT 图维 (1980)。 1 关于协调结构作为耗散结构的概念:I. 收敛的理论路线。心理学进展(第 1 卷,第 3-47 页)。爱思唯尔。 - Land, W., & Tenenbaum, G. (2012). An outcome-and process-oriented examination of a golf-specific secondary task strategy to prevent choking under pressure. Journal of Applied Sport Psychology, 24(3), 303–322. https://doi.org/10.1080/10413200.2011.642458
Land, W. 和 Tenenbaum, G. (2012)。对高尔夫特定次要任务策略进行以结果和过程为导向的检查,以防止压力下窒息。应用运动心理学杂志, 24 ( 3 ),303-322。 https://doi.org/10.1080/10413200.2011.642458 - Lohse, K. R., Sherwood, D. E., & Healy, A. F. (2010). How changing the focus of attention affects performance, kinematics, and electromyography in dart throwing. Human Movement Science, 29(4), 542–555. https://doi.org/10.1016/j.humov.2010.05.001
Lohse, KR、Sherwood, DE 和 Healy, AF (2010)。改变注意力焦点如何影响飞镖投掷的表现、运动学和肌电图。人体运动科学, 29 ( 4 ),542–555。 https://doi.org/10.1016/j.humov.2010.05.001 - Malhotra, N., Poolton, J. M., Wilson, M. R., Fan, J. K., & Masters, R. S. (2014). Conscious motor processing and movement self-consciousness: Two dimensions of personality that influence laparoscopic training. Journal of Surgical Education, 71(6), 798–804. https://doi.org/10.1016/j.jsurg.2014.04.003
Malhotra, N.、Poolton, JM、Wilson, MR、Fan, JK 和 Masters, RS (2014)。有意识的运动处理和运动自我意识:影响腹腔镜训练的人格的两个维度。外科教育杂志, 71 ( 6 ),798–804。 https://doi.org/10.1016/j.jsurg.2014.04.003 - Malhotra, N., Poolton, J. M., Wilson, M. R., Omuro, S., & Masters, R. S. W. (2015). Dimensions of movement specific reinvestment in practice of a golf putting task. Psychology of Sport and Exercise, 18, 1–8. https://doi.org/10.1016/j.psychsport.2014.11.008
Malhotra, N.、Poolton, JM、Wilson, MR、Omuro, S. 和 Masters, RSW (2015)。高尔夫推杆任务练习中运动特定再投资的维度。运动与锻炼心理学, 18,1-8 。 https://doi.org/10.1016/j.psychsport.2014.11.008 - Masters, R. S. (1992). Knowledge, knerves and know‐how: The role of explicit versus implicit knowledge in the breakdown of a complex motor skill under pressure. British Journal of Psychology, 83(3), 343–358. https://doi.org/10.1111/j.2044-8295.1992.tb02446.x
大师,RS(1992)。知识、神经和技巧:显性知识与隐性知识在压力下复杂运动技能崩溃中的作用。英国心理学杂志, 83 ( 3 ),343-358。 https://doi.org/10.1111/j.2044-8295.1992.tb02446.x - Masters, R. S. W., Eves, F. F., & Maxwell, J. P. (2005). Development of a movement specific reinvestment scale. In International Society of Sport Psychology (ISSP) World Congress. International Society of Sport Psychology (ISSP).
Masters,RSW、Eves、FF 和 Maxwell,JP (2005)。制定特定运动的再投资规模。在国际运动心理学会(ISSP)世界大会上。国际运动心理学会(ISSP)。 - Masters, R., & Maxwell, J. (2008). The theory of reinvestment. International Review of Sport and Exercise Psychology, 1(2), 160–183. https://doi.org/10.1080/17509840802287218
马斯特斯,R. 和麦克斯韦,J. (2008)。再投资理论。国际运动与运动心理学评论, 1 ( 2 ),160-183。 https://doi.org/10.1080/17509840802287218 - Masters, R. S., Polman, R., & Hammond, N. (1993). ‘Reinvestment’: A dimension of personality implicated in skill breakdown under pressure. Personality and Individual Differences, 14(5), 655–666. https://doi.org/10.1016/0191-8869(93)90113-H
马斯特斯,RS,波尔曼,R.,&哈蒙德,N.(1993)。 “再投资”:与压力下技能崩溃有关的人格维度。人格与个体差异, 14 ( 5 ),655–666。 https://doi.org/10.1016/0191-8869(93)90113-H - Maxwell, J. P., Masters, R. S., & Eves, F. F. (2000). From novice to no know-how: A longitudinal study of implicit motor learning. Journal of Sports Sciences, 18(2), 111–120. https://doi.org/10.1080/026404100365180
Maxwell, JP、Masters、RS 和 Eves, FF (2000)。从新手到无知:内隐运动学习的纵向研究。体育科学杂志, 18 ( 2 ),111-120。 https://doi.org/10.1080/026404100365180 - Maxwell, J. P., Masters, R. S., & Poolton, J. M. (2006). Performance breakdown in sport: The roles of reinvestment and verbal knowledge. Research Quarterly for Exercise and Sport, 77(2), 271–276. https://doi.org/10.1080/02701367.2006.10599360
Maxwell, JP、Masters、RS 和 Poolton, JM (2006)。体育运动中的表现细分:再投资和言语知识的作用。锻炼和运动研究季刊, 77 ( 2 ), 271–276。 https://doi.org/10.1080/02701367.2006.10599360 - Morya, E., Ranvaud, R., & Pinheiro, W. M. (2003). Dynamics of visual feedback in a laboratory simulation of a penalty kick. Journal of Sports Sciences, 21(2), 87–95. https://doi.org/10.1080/0264041031000070840
Morya, E.、Ranvaud, R. 和 Pinheiro, WM (2003)。实验室模拟点球的视觉反馈动态。体育科学杂志, 21 ( 2 ),87-95。 https://doi.org/10.1080/0264041031000070840 - Neumann, D. L., & Thomas, P. R. (2008). A camera-based scoring system for evaluating performance accuracy during a golf putting task. Behavior Research Methods, 40(3), 892–897. https://doi.org/10.3758/Brm.40.3.892
DL 诺伊曼和 PR 托马斯 (2008)。一种基于摄像头的评分系统,用于评估高尔夫推杆任务期间的表现准确性。行为研究方法, 40 ( 3 ),892-897。 https://doi.org/10.3758/Brm.40.3.892 - Newell, K. (1986). Constraints on the development of coordination. Motor development in children: Aspects of coordination and control.
纽厄尔,K.(1986)。制约发展协调。儿童运动发育:协调和控制方面。 - Newell, K. M., & Ranganathan, R. (2010). Instructions as constraints in motor skill acquisition. Motor Learning in Practice: A Constraints-Led Approach, 17–32.
纽厄尔,KM 和兰加纳坦,R. (2010)。指令作为运动技能获取的限制。实践中的运动学习:以约束为主导的方法, 17-32。 - Park, S., Lam, W., Hoskens, M., Uiga, L., Cooke, A., & Masters, R. (2020). Inhibitory control, conscious processing of movement and anxiety. Psychology of Sport and Exercise, 46, 101587. https://doi.org/10.1016/j.psychsport.2019.101587
Park, S.、Lam, W.、Hoskens, M.、Uiga, L.、Cooke, A. 和 Masters, R. (2020)。抑制控制、有意识地处理运动和焦虑。运动与锻炼心理学, 46,101587。https ://doi.org/10.1016/j.psychsport.2019.101587 - Pelleck, V., & Passmore, S. R. (2017). May) Location versus task relevance: The impact of differing internal focus of attention instructions on motor performance. Acta Psychologica, 176, 23–31. https://doi.org/10.1016/j.actpsy.2017.03.007
Pelleck, V. 和 Passmore, SR (2017)。五月)位置与任务相关性:不同的内部注意力焦点指令对运动表现的影响。心理学报, 176,23-31 。 https://doi.org/10.1016/j.actpsy.2017.03.007 - Perkins-Ceccato, N., Passmore, S. R., & Lee, T. D. (2003). Effects of focus of attention depend on golfers’ skill. Journal of Sports Sciences, 21(8), 593–600. https://doi.org/10.1080/0264041031000101980
Perkins-Ceccato, N.、Passmore, SR 和 Lee, TD (2003)。注意力集中的效果取决于高尔夫球手的技术。体育科学杂志, 21 ( 8 ),593-600。 https://doi.org/10.1080/0264041031000101980 - Poolton, J. M., Maxwell, J. P., Masters, R. S. W., & Raab, M. (2006). Benefits of an external focus of attention: Common coding or conscious processing? Journal of Sports Sciences, 24(1), 89–99. https://doi.org/10.1080/02640410500130854
Poolton, JM、Maxwell, JP、Masters、RSW 和 Raab, M. (2006)。外部关注焦点的好处:共同编码还是有意识的处理?体育科学杂志, 24 ( 1 ),89-99。 https://doi.org/10.1080/02640410500130854 - Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84(1), 1–66. https://doi.org/10.1037/0033-295X.84.1.1
施奈德,W.,&希夫林,RM (1977)。受控和自动的人类信息处理:I.检测、搜索和注意。心理评论, 84 ( 1 ),1-66。 https://doi.org/10.1037/0033-295X.84.1.1 - Scholz, J. P., & Schöner, G. (1999). The uncontrolled manifold concept: Identifying control variables for a functional task. Experimental Brain Research, 126(3), 289–306. https://doi.org/10.1007/s002210050738
Scholz, JP 和 Schöner, G. (1999)。不受控流形概念:识别功能任务的控制变量。实验脑研究, 126 ( 3 ),289–306。 https://doi.org/10.1007/s002210050738 - Tang, T. C., Mak, T. C., Wong, T. W., Capio, C. M., Li, J., Masters, R. S., & Chan, D. K. (2023). A meta-analysis of the association between movement specific reinvestment and motor performance. International Review of Sport and Exercise Psychology, 1–26. https://doi.org/10.1080/1750984X.2023.2214813
Tang, TC、Mak, TC、Wong, TW、Capio, CM、Li, J.、Masters, RS 和 Chan, DK (2023)。对运动特定再投资与运动表现之间关联的荟萃分析。国际运动和运动心理学评论,1-26。 https://doi.org/10.1080/1750984X.2023.2214813 - Toner, J., & Moran, A. (2011). The effects of conscious processing on golf putting proficiency and kinematics. Journal of Sports Sciences, 29(7), 673–683. https://doi.org/10.1080/02640414.2011.553964
托纳,J. 和莫兰,A. (2011)。意识处理对高尔夫推杆熟练度和运动学的影响。体育科学杂志, 29 ( 7 ),673-683。 https://doi.org/10.1080/02640414.2011.553964 - Tucker, C. B., Anderson, R., & Kenny, I. C. (2013). Is outcome related to movement variability in golf? Sports Biomechanics, 12(4), 343–354. https://doi.org/10.1080/14763141.2013.784350
塔克,CB、安德森,R. 和肯尼,IC (2013)。结果与高尔夫运动的可变性有关吗?运动生物力学, 12 ( 4 ),343–354。 https://doi.org/10.1080/14763141.2013.784350 - van der Kamp, J. (2006). A field simulation study of the effectiveness of penalty kick strategies in soccer: Late alterations of kick direction increase errors and reduce accuracy. Journal of Sports Sciences, 24(5), 467–477. https://doi.org/10.1080/02640410500190841
范德坎普,J.(2006)。足球中点球策略有效性的现场模拟研究:踢球方向的后期改变会增加错误并降低准确性。体育科学杂志, 24 ( 5 ),467-477。 https://doi.org/10.1080/02640410500190841 - van Ginneken, W. F., Poolton, J. M., Capio, C. M., van der Kamp, J., Choi, C. S., & Masters, R. S. (2018). Conscious control is associated with freezing of mechanical degrees of freedom during motor learning. Journal of Motor Behavior, 50(4), 436–456. https://doi.org/10.1080/00222895.2017.1365045
van Ginneken, WF、Poolton, JM、Capio, CM、van der Kamp, J.、Choi, CS 和 Masters, RS (2018)。意识控制与运动学习期间机械自由度的冻结有关。运动行为杂志, 50 ( 4 ),436–456。 https://doi.org/10.1080/00222895.2017.1365045 - Warren, W. H. (2006). The dynamics of perception and action. Psychological Review, 113(2), 358–389. https://doi.org/10.1037/0033-295X.113.2.358
沃伦,WH (2006)。感知和行动的动态。心理评论, 113 ( 2 ),358-389。 https://doi.org/10.1037/0033-295X.113.2.358 - Willingham, D. B. (1999). The neural basis of motor-skill learning. Current Directions in Psychological Science, 8(6), 178–182. https://doi.org/10.1111/1467-8721.00042
威灵厄姆,DB (1999)。运动技能学习的神经基础。当前心理科学方向, 8 ( 6 ),178-182。 https://doi.org/10.1111/1467-8721.00042
APPENDIX A 附录A
Pretend that your friends just walked into the room. Describe the putt you took in general (recalling the last putt might be helpful), in enough detailed so that your friend could duplicate the putt you took in detail, doing it just like you did.
假装你的朋友刚刚走进房间。描述您所进行的推杆的总体情况(回忆上次推杆可能会有所帮助),足够详细,以便您的朋友可以详细地复制您所进行的推杆,就像您一样。