Biography of Things – A Ball

The presented text is a study of interest in ball as an element of formation and perception of childhood. The research project was embedded in the paradigm of qualitative, interpretative research, where the focus was on the language of the preschooler, which becomes a reflection of the world of physical culture present in the mind of the child – the narrator. The problem of research is focused on the question: To what extent is the ball and its meanings an element of material culture located in the area of physical culture, and in what circumstances is it a determinant of child-specific pre-school folklore? The resulting space of the presented analyzes is an element of the phenomenographic method, where the use of a partially structured interview with preschool children (N = 80) provided the basis for the analysis of the perception and use of a ball in the cognitive theory of a child’s language space. The main conclusions from the research are: 1) for younger children, the ball is more often an attribute of spontaneous play than conventional actions (governed by rules and patterns), 2) for 5- and 6-year-olds, the ball is an artifact of attractive motor activity, training complex motor skills and competition. In middle childhood, the ball is a domain of spontaneous emotionality and an attribute of children’s play, which becomes a material for perceiving, interpreting and situating oneself in a specific culture of movement. The research was conducted in ten municipal kindergartens in the city of Slupsk, Poland in 2016–2019.

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation

Technological advances enable the design of systems that interact more closely with humans in a multitude of previously unsuspected fields. Martial arts are not outside the application of these techniques. From the point of view of the modeling of human movement in relation to the learning of complex motor skills, martial arts are of interest because they are articulated around a system of movements that are predefined, or at least, bounded, and governed by the laws of Physics. Their execution must be learned after continuous practice over time. Literature suggests that artificial intelligence algorithms, such as those used for computer vision, can model the movements performed. Thus, they can be compared with a good execution as well as analyze their temporal evolution during learning. We are exploring the application of this approach to model psychomotor performance in Karate combats (called kumites), which are characterized by the explosiveness of their movements. In addition, modeling psychomotor performance in a kumite requires the modeling of the joint interaction of two participants, while most current research efforts in human movement computing focus on the modeling of movements performed individually. Thus, in this work, we explore how to apply a pose estimation algorithm to extract the features of some predefined movements of Ippon Kihon kumite (a one-step conventional assault) and compare classification metrics with four data mining algorithms, obtaining high values with them.

A Hessian-based decomposition characterizes how performance in complex motor skills depends on individual strategy and variability

In complex real-life motor skills such as unconstrained throwing, performance depends on how accurate is on average the outcome of noisy, high-dimensional, and redundant actions. What characteristics of the action distribution relate to performance and how different individuals select specific action distributions are key questions in motor control. Previous computational approaches have highlighted that variability along the directions of first order derivatives of the action-to-outcome mapping affects performance the most, that different mean actions may be associated to regions of the actions space with different sensitivity to noise, and that action covariation in addition to noise magnitude matters. However, a method to relate individual high-dimensional action distribution and performance is still missing. Here we introduce a decomposition of performance into a small set of indicators that compactly and directly characterize the key performance-related features of the distribution of high-dimensional redundant actions. Central to the method is the observation that, if performance is quantified as a mean score, the Hessian (second order derivatives) of the action-to-score function determines how the noise of the action distribution affects performance. We can then approximate the mean score as the sum of the score of the mean action and a tolerance-variability index which depends on both Hessian and action covariance. Such index can be expressed as the product of three terms capturing noise magnitude, noise sensitivity, and alignment of the most variable and most noise sensitive directions. We apply this method to the analysis of unconstrained throwing actions by non-expert participants and show that, consistently across four different throwing targets, each participant shows a specific selection of mean action score and tolerance-variability index as well as specific selection of noise magnitude and alignment indicators. Thus, participants with different strategies may display the same performance because they can trade off suboptimal mean action for better tolerance-variability and higher action variability for better alignment with more tolerant directions in action space.

The Skilful Origins of Human Normative Cognition

I briefly present and motivate a ‘skill hypothesis’ regarding the evolution of human normative cognition. On this hypothesis, the capacity to internally represent action-guiding norms evolved as a solution to the distinctive problems of standardizing, learning and teaching complex motor skills and craft skills, especially skills related to toolmaking. We have an evolved cognitive architecture for internalizing norms of technique, which was then co-opted for a rich array of social functions. There was a gradual expansion of the normative domain, with ritual playing an important role in bridging the gap between concrete, enacted norms and general, abstract norms, such as kinship norms. I conclude by stating nine predictions arising from the skill hypothesis.

Toolmaking and the evolution of normative cognition

We are all guided by thousands of norms, but how did our capacity for normative cognition evolve? I propose there is a deep but neglected link between normative cognition and practical skill. In modern humans, complex motor skills and craft skills, such as toolmaking, are guided by internally represented norms of correct performance. Moreover, it is plausible that core components of human normative cognition evolved as a solution to the distinctive problems of transmitting complex motor skills and craft skills, especially skills related to toolmaking, through social learning. If this is correct, the expansion of the normative domain beyond technique to encompass more abstract norms of fairness, reciprocity, ritual and kinship involved the elaboration of a basic platform for the guidance of skilled action by technical norms. This article motivates and defends this “skill hypothesis” for the origin of normative cognition and sets out various ways in which it could be empirically tested.

Identifying Fundamental Motor Skills Building Blocks in Preschool Children From Brazil and the United States: A Network Analysis

Fundamental motor skills (FMSs) are building blocks for future movements and may vary according to cultural context. Moreover, network analysis can identify which skills contribute most to an overall set of skills. This study identified the most influential FMS in samples of U.S. and Brazil preschoolers that may contribute to a pattern of adequate motor skills. Participants were 101 Brazilian (55 boys; 47.52 ± 5.57 months of age) and 236 U.S. preschoolers (108 boys; 49.56 ± 8.27 months of age), who provided completed FMS assessments (Test of Gross Motor Development—third edition). Confirmatory factorial analysis was used to test alternative models. To quantify the importance of each variable in the network, the expected influence was calculated, using the network analysis Mplus, Rstudio, and JASP (version 0.14.1). Reduced models with nine and 11 FMS for Brazilian and U.S. preschoolers, respectively, showed adequate adjustment indexes. Jump (1.412) and one-hand strike (0.982) in the Brazilian sample, and hop (1.927) and dribble (0.858) in the U.S. sample, showed the highest expected influence values. This study presents a new perspective to report which are the most important FMS in preschoolers of different sociocultural contexts, which act as building blocks for the acquisition of more complex motor skills.

Focus of Attention Verbalizations in Beginning Band: A Multiple Case Study

Although the effects of focus of attention (FOA) on the performance of gross motor skills are now well understood, less is known about the role of FOA in naturalistic classroom settings where learners are engaged in the ongoing acquisition and refinement of complex motor skills. The purpose of this study, the first of its kind, was to explore how music teachers focus learners’ attention on physical actions (internal focus) and on the effects of those actions (external focus). We recorded three experienced band directors teaching beginner classes (sixth graders) and completed a content analysis of video recordings to describe (a) teachers’ use of internally focused (IF) and externally focused (EF) verbalizations and (b) patterns among IF and EF verbalizations. These teachers most often directed student attention to internal aspects of performance, and they also paired IF and EF statements to clearly convey how those actions affect external outcomes. Although our descriptive multiple case study design precludes generalization, these data suggest possibilities for future studies that could explore relationships between teachers’ FOA verbalizations and skill development in music classrooms.

Effects of PETTLEP imagery technique on precision skills: a study on drag flick in Pakistan hockey

Present study was aimed at investigating the role of Physical, Environmental, Task, Timing, Learning, Emotion and Perspective (PETTLEP) Imagery technique in the improvement of skill precision level of hockey drag flickers. For this purpose, both male (83) and female (38) hockey drag flickers (n=121) of age ranged between 17 and 27 years were selected from different hockey teams belonging to clubs, colleges, universities, departments, regional and national academies of Pakistan. Participants were made to undergo a Pretest-Intervention-Posttest research design consisted of 20 drag flicks and filling of SIAQ questionnaire. Drag Flick Precision Measurement Test (DFPMT) along with Sports Imagery Ability Questionnaire (SIAQ) were used to measure their skill precision levels and their imagery ability. The participants were classified into three categories as per their skill precision levels (Point-based), ranging from 48 Novice (upto12 points), 42 Intermediate (13–18 points) and 31 Elite (19 points and above), and were randomly assigned to one of four intervention groups; Physical Practice (PP), PETTLEP Imagery Practice (IP), Physical Practice+PETTLEP Imagery Practice Combination (CP), and No Practice (NP) Control group. Each group performed their respective tasks for 10 weeks through specially designed physical training programs aided by Imagery scripts. Paired sample t test analysis showed that all groups improved significantly (p<0.05) from pre- to post-test, and the CP group improved more with average improvement value of 8.32 for DFPMT and 5.39 for SIAQ (p<0.05) than the IP, PP and NP groups. However, there was no significant difference found between the PP (Sig. 0.73) and NP (Sig. 0.44) groups in SIAQ. Result extend prior research findings and suggests that PETTLEP Imagery practice used in combination with Physical practice has substantial impact on improving performance of complex motor skills, Present findings showed that PETTLEP imagery model was found to improve player’s precision skill levels, especially when it was combined with physical practice. However, further studies in this connection are needed.

Comparing video-based versions of Halsted’s ‘See One, Do One’ and Peyton’s ‘4-step Approach’ for teaching surgical skills: a randomized controlled trial

Background: Teaching complex motor skills at a high level remains a challenge in medical education. Established methods often involve large amounts of teaching time and material. The implementation of standardized videos in those methods might help save resources. In this study, video-based versions of Peyton’s ‘4-step Approach’ and Halsted’s ‘See One, Do One’ are compared. We hypothesized that the video-based ‘4-step Approach’ would be more effective in learning procedural skills than the ‘See One, Do One Approach’. Methods: One-hundred-two naïve students were trained to perform a structured facial examination and a Bellocq’s tamponade with either Halsted’s (n = 57) or Peyton’s (n = 45) method within a curricular course. Steps 1 (Halsted) and 1-3 (Peyton) were replaced by standardized teaching videos. The performance was measured directly (T1) and 8 weeks (T2) after the intervention by blinded examiners using structured checklists. An item-analysis was also carried out. Results: At T1, performance scores significantly differed in favor of the video-based ‘4-step Approach’ (p < 0.01) for both skills. No differences were found at T2 (p < 0.362). The item-analysis revealed that Peyton’s method was significantly more effective in the complex subparts of both skills. Conclusions: The modified video-based version of Peyton’s ‘4-step Approach’ is the preferred method for teaching especially complex motor skills in a large curricular scale. Furthermore, an effective way to utilize Peyton’s method in a group setting could be demonstrated. Further studies have to investigate the long-term learning retention of this method in a formative setting.

Multi-dimensional tuning in motor cortical neurons during active behavior

ABSTRACTA region within songbird cortex, AId (dorsal intermediate arcopallium), is functionally analogous to motor cortex in mammals and has been implicated in vocal learning during development. AId thus serves as a powerful model for investigating motor cortical contributions to developmental skill learning. We made extracellular recordings in AId of freely behaving juvenile zebra finches and evaluated neural activity during diverse motor behaviors throughout entire recording sessions, including song production as well as hopping, pecking, preening, fluff-ups, beak interactions with cage objects, scratching, and stretching. A large population of single neurons showed significant modulation of activity during singing relative to quiescence. In addition, AId neurons demonstrated heterogeneous response patterns that were evoked during multiple movements, with single neurons often demonstrating excitation during one movement type and suppression during another. Lesions of AId do not disrupt vocal motor output or impair generic movements, suggesting that the responses observed during active behavior do not reflect direct motor drive. Consistent with this idea, we found that some AId neurons showed differential activity during pecking movements depending on the context in which pecks occurred, suggesting that AId circuitry encodes diverse inputs beyond generic motor parameters. Moreover, we found evidence of neurons that did not respond during discrete movements but were nonetheless modulated during active behavioral states compared to quiescence. Taken together, our results support the idea that AId neurons are involved in sensorimotor integration of external sensory inputs and/or internal feedback cues to help modulate goal-directed behaviors.SIGNIFICANCE STATEMENTMotor cortex across taxa receives highly integrated, multi-modal information and has been implicated in both execution and acquisition of complex motor skills, yet studies of motor cortex typically employ restricted behavioral paradigms that target select movement parameters, preventing wider assessment of the diverse sensorimotor factors that can affect motor cortical activity. Recording in AId of freely behaving juvenile songbirds that are actively engaged in sensorimotor learning offers unique advantages for elucidating the functional role of motor cortical neurons. The results demonstrate that a diverse array of factors modulate motor cortical activity and lay important groundwork for future investigations of how multi-modal information is integrated in motor cortical regions to contribute to learning and execution of complex motor skills.