Kinaesthetic imagery ability moderates the effect of an AO+MI intervention on golf putt performance: A pilot study

BackgroundPrevious research has established that motor imagery (MI) and action observation (AO) independently enhance the performance and learning of motor skills. Recent studies have demonstrated that combining AO and MI (AO + MI) elicits increased activity in motor regions of the brain and enhances performance more than either AO or MI alone. Kinesthetic imagery (KI) ability refers to the ease with which one can sense their own body and imagine how a movement feels during a task (Malouin et al., 2007). KI ability may be of particular importance when engaging with AO + MI as the provision of an external visual stimulus through AO renders the visual component of MI redundant.ObjectiveThe current study aims to add to the emerging body of behavioural evidence demonstrating the performance benefits of AO + MI by exploring the effect of an AO + MI intervention on golf putting performance, as well as exploring the role that KI ability represents in AO + MI effectiveness.MethodRight-handed male golfers (N = 44) of varying skill level performed twenty 15-foot putts before and after a 3.5 min AO + MI intervention (AO + MI group; mean handicap = 7.5, SD = 4.3) or a similarly timed passive reading task (Control group; mean handicap = 11.5, SD = 5.4). Using the MIQ-3 questionnaire, participants in both experimental groups were classified according to kinesthetic imagery ability where: a mean score ≥6 were classified as good imagers. Performance accuracy was measured using mean radial error (MRE), precision was quantified via bivariate error (BVE) and putter kinematics were recorded by SAM Puttlab.ResultsResults from a series of ANCOVAs indicate that good kinesthetic imagers who received the AO + MI intervention were significantly more precise (BVRE) on the putting task than good kinesthetic imagers in the Control group (p = 0.041, d = 0.678). Good kinesthetic imagers in the intervention group also significantly outperformed good kinesthetic imagers in the control group on a measure of speed control (SD of error scores along the axis of progression) in golf putting (p = 0.041).ConclusionsOur results suggest that the presence of AO with MI increases the relevance of kinesthetic cues, that good kinesthetic imagers are able to utilise for subsequent performance benefits during the putting task. We discuss the increased importance of kinesthetic awareness/feel following the intervention as an explanation for such improvements in performance.     

具身认知视角的饮食消费行为——基于心理模拟“具身”方式

随着具身认知理论的发展, 基于心理模拟“具身”方式的饮食消费行为研究得到了一些新颖、有趣的研究结果, 为过食与肥胖、食品营销等问题的解决提供了新视角。心理模拟既能促进进食也能抑制进食; 心理模拟容易性因素与动机性因素是影响心理模拟程度的两大类主要前因变量; 未来需要进一步探索心理模拟的容易性因素与动机性因素、心理模拟提高消费欲望与产生腻厌反应的边界条件, 以及利用心理模拟探讨肥胖高危人群——高奖赏敏感性个体过食的深层次内在机制等。     

主人公的动机水平对句子理解中心理模拟的影响

通过两个实验, 考察了主人公的动机水平对句子理解中读者的心理模拟的影响。实验1采用移动窗口技术, 记录读者阅读句子中目的地词语的时间; 实验2采用视觉情景眼动范式, 主试播放描述运动的句子, 同时呈现相应的情境图片, 记录读者扫描图片中主人公、路径和目的地的时间。实验结果表明：(1)主人公的动机水平影响读者对目的地词语的阅读时间, 主人公的动机水平越高, 读者的阅读时间就越短; (2)读者对情景图片的扫描受主人公的动机水平影响, 主人公的动机水平越高, 读者对路径区域的扫描时间就越短, 对目的地区域的扫描时间就越长。两个实验均表明, 在句子的实时加工中, 读者可以通过再入情境, 遵循先内后外的顺序, 先模拟主人公的动机水平, 继而模拟主人公的动作, 从而影响对句子的注视和理解。研究结果支持语言加工的具身认知观。     

Simulating biological and non-biological motion

It is widely accepted that the brain processes biological and non-biological movements in distinct neural circuits. Biological motion, in contrast to non-biological motion, refers to active movements of living beings. Aim of our experiment was to investigate the mechanisms underlying mental simulation of these two movement types. Subjects had to either simulate mentally or to overtly reproduce previously executed or observed movements. Healthy subjects showed a very high timing precision when simulating biological and a strong distortion when simulating non-biological movements. Schizophrenic subjects, however, showed the opposite. Since overt reproduction was precise in any case, this double dissociation shows that processes underlying mental simulation of biological and non-biological movements are separate from each other and from perceptual and motor-control processes.     

Bootstrapping cognition from behavior-a computerized thought experiment

We show that simple perceptual competences can emerge from an internal simulation of action effects and are thus grounded in behavior. A simulated agent learns to distinguish between dead ends and corridors without the necessity to represent these concepts in the sensory domain. Initially, the agent is only endowed with a simple value system and the means to extract low-level features from an image. In the interaction with the environment, it acquires a visuo-tactile forward model that allows the agent to predict how the visual input is changing under its movements, and whether movements will lead to a collision. From short-term predictions based on the forward model, the agent learns an inverse model. The inverse model in turn produces suggestions about which actions should be simulated in long-term predictions, and long-term predictions eventually give rise to the perceptual ability.     

Computer simulation through an error-statistical lens

After showing how Deborah Mayo’s error-statistical philosophy of science might be applied to address important questions about the evidential status of computer simulation results, I argue that an error-statistical perspective offers an interesting new way of thinking about computer simulation models and has the potential to significantly improve the practice of simulation model evaluation. Though intended primarily as a contribution to the epistemology of simulation, the analysis also serves to fill in details of Mayo’s epistemology of experiment.     

因子分析元分析的三阶段整合模型

因子分析元分析(meta-analysis of factor analyses, MAFA)整合了因子分析和元分析两种方法学传统。开展MAFA方法学研究可结束过去几十年MAFA研究缺乏根据的状况, 服务心理学等领域内的知识生产。三阶段整合模型认为MAFA包括数据准备、数据合成和数据分析三个主要阶段。模型及数据合成技术的有效性将用心理测量学方法, 包括蒙特卡洛模拟研究进行检验。研究结果将阐明正确运用MAFA的一般规则、操作步骤和注意事项, 进而增进我们对MAFA的认识, 丰富应用心理等领域的方法学体系, 为MAFA方法的推广应用奠定基础。     

多水平随机中介效应估计及其比较

本文在综述各类多水平中介模型的基础上, 聚焦于自变量、中介变量、因变量都来自多水平结构中较低水平的多水平随机中介效应模型, 通过蒙特卡洛模拟研究比较该模型与简化的多水平固定中介效应模型、传统中介效应模型的差别, 并考察了目前用于多水平随机中介效应的三种参数估计方法：限制性极大似然、极大似然、最小方差二次无偏估计在不同情况下对随机中介效应估计的优劣。研究结果显示：当数据符合多水平随机中介效应模型时, 使用简化模型将错误估计中介效应及其标准误, 得到不正确的统计检验结果; 使用多水平随机中介效应模型能够实现对中介效应的正确估计和检验, 其中限制性极大似然或极大似然估计方法优于最小方差二次无偏估计方法。     

Spatial and linguistic aspects of visual imagery in sentence comprehension

There is mounting evidence that language comprehension involves the activation of mental imagery of the content of utterances ( Barsalou, 1999 ; Bergen, Chang, & Narayan, 2004 ; Bergen, Narayan, & Feldman, 2003 ; Narayan, Bergen, & Weinberg, 2004 ; Richardson, Spivey, McRae, & Barsalou, 2003 ; Stanfield & Zwaan, 2001 ; Zwaan, Stanfield, & Yaxley, 2002 ). This imagery can have motor or perceptual content. Three main questions about the process remain under‐explored, however. First, are lexical associations with perception or motion sufficient to yield mental simulation, or is the integration of lexical semantics into larger structures, like sentences, necessary? Second, what linguistic elements (e.g., verbs, nouns, etc.) trigger mental simulations? Third, how detailed are the visual simulations that are performed? A series of behavioral experiments address these questions, using a visual object categorization task to investigate whether up‐ or down‐related language selectively interferes with visual processing in the same part of the visual field (following Richardson et al., 2003 ). The results demonstrate that either subject nouns or main verbs can trigger visual imagery, but only when used in literal sentences about real space—metaphorical language does not yield significant effects—which implies that it is the comprehension of the sentence as a whole and not simply lexical associations that yields imagery effects. These studies also show that the evoked imagery contains detail as to the part of the visual field where the described scene would take place.