Bending It Like Beckham: How to Visually Fool the Goalkeeper

Dessing, Jacobus; Craig, Cathy

doi:10.1371/journal.pone.0013161

Cited by 69 publications

(106 citation statements)

References 30 publications

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“…However, the human visual system is not very sensitive for detecting changes in acceleration [43]. This uncertainty will certainly shift the estimate of ' crit very much to the right [41].…”

Section: Feedback Identificationmentioning

confidence: 99%

Control at stability's edge minimizes energetic costs: expert stick balancing

Milton

Meyer

Zhvanetsky

et al. 2016

J. R. Soc. Interface.

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Stick balancing on the fingertip is a complex voluntary motor task that requires the stabilization of an unstable system. For seated expert stick balancers, the time delay is 0.23 s, the shortest stick that can be balanced for 240 s is 0.32 m and there is a % 0:88 dead zone for the estimation of the vertical displacement angle in the saggital plane. These observations motivate a switching-type, pendulum -cart model for balance control which uses an internal model to compensate for the time delay by predicting the sensory consequences of the stick's movements. Numerical simulations using the semi-discretization method suggest that the feedback gains are tuned near the edge of stability. For these choices of the feedback gains, the cost function which takes into account the position of the fingertip and the corrective forces is minimized. Thus, expert stick balancers optimize control with a combination of quick manoeuvrability and minimum energy expenditures.

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Section: Feedback Identificationmentioning

confidence: 99%

Control at stability's edge minimizes energetic costs: expert stick balancing

Milton

Meyer

Zhvanetsky

et al. 2016

J. R. Soc. Interface.

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“…We expected basketball players to be more accurate in defining the attacker's final running direction. We also predicted that basketball players would move earlier when hearing non-deceptive movements but wait longer when hearing deceptive movements (to pick up more information to inform the correct action choice -see Dessing & Craig, 2010;Brault et al, 2012). An in-depth analysis of each variable allowed us to draw a clear picture of the anticipatory abilities of both basketball and non-basketball players.…”

Section: Kinematic Data Analysismentioning

confidence: 99%

“…Interestingly, this expertise-dependent advantage was not found in a similar ball-curve perception only task in which participants simply had to judge, ahead of time, whether a free-kick would result in a goal or not (Craig et al, 2009). This suggests that the effects of skill-based actioncapabilities on perception may be more strongly manifested when perception is coupled to action ACTION ANTICIPATION THROUGH ITS SOUND ALONE 6 6 and the task requires participants to act on the perceptual information in a manner appropriate to their domain of expertise (Brault et al, 2012;Correia et al, 2012;Dessing & Craig, 2010;Watson et al, 2011). This question was explored here by having novice and expert basketball player perform a more ecologically-valid action-response task (virtual full-body blocking of a perceived attacking player -expertise specific), in addition to a generic perception-action task (moving a slider in the perceived direction of the attacking player -non-expertise specific).…”

mentioning

confidence: 99%

Expert players accurately detect an opponent’s movement intentions through sound alone.

Camponogara¹,

Rodger²,

Craig³

et al. 2017

Journal of Experimental Psychology: Human Perception and Perfor

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Sounds offer a rich source of information about events taking place in our physical and social environment. However, outside the domains of speech and music, little is known about whether humans can recognize and act upon the intentions of another agent’s actions detected through auditory information alone. In this study we assessed whether intention can be inferred from the sound an action makes, and in turn, whether this information can be used to prospectively guide movement. In 2 experiments experienced and novice basketball players had to virtually intercept an attacker by listening to audio recordings of that player’s movements. In the first experiment participants had to move a slider, while in the second one their body, to block the perceived passage of the attacker as they would in a real basketball game. Combinations of deceptive and nondeceptive movements were used to see if novice and/or experienced listeners could perceive the attacker’s intentions through sound alone. We showed that basketball players were able to more accurately predict final running direction compared to nonplayers, particularly in the second experiment when the interceptive action was more basketball specific. We suggest that athletes present better action anticipation by being able to pick up and use the relevant kinematic features of deceptive movement from event-related sounds alone. This result suggests that action intention can be perceived through the sound a movement makes and that the ability to determine another person’s action intention from the information conveyed through sound is honed through practice.

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“…By immersing players in a virtual soccer stadium and allowing them to interact with realistic curved free kicks we show to what extent the impact upon the decision making process (Dessing & Craig, 2010). An in-depth behavioural analysis allows us to model the behaviour of goal-keepers.…”

mentioning

confidence: 99%

Virtual goal- keeping: Understanding how perception influences decisions about action

Craig¹

2011

BIO Web of Conferences

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According to humans and animals perceive and interact with surfaces (e.g. grass), places (e.g. pitch), objects (e.g. ball) and events (e.g. a set-play) (Gibson, 1966). All these so called properties of the surrounding environment provide opportunities for action. This relationship between the environment and player and the ensuing action possibilities are known as affordances. Affordances are essentially the starting point for psychologists trying to understand how humans perceive, learn, and decide to act upon events they perceive to be taking place in their surrounding environment (Turvey, 1992). This area of psychology assumes a player-environment to perceive and perceive to move processes and action capabilities are therefore intricately linked and play a crucial role in the decision making process.Virtual reality provides the perfect adjunct to study perception/action in sport. It is in essence a sophisticated interactive and immersive humancomputer interface where a sensory environment (visual, haptic and/or acoustic) is simulated by a computer and is controlled by the interactive behaviour of the user. It is a versatile methodological tool that gives the experimenter complete control over complex environmental conditions and allows for an inpsychology this technology is starting to be exploited as a means of treating phobias (VRET), monitoring behaviour of autistic children in virtual classrooms, rehabilitating stroke patients and most recently in testing perception/action capabilities in elite sports players (Bideau et al, 2006;Craig et al, 2006). The versatility of the VR platform means the technology can be easily applied to a multitude of sports.For instance, the systematic variation of the visual information available to the players (e.g. the ball trajectory and/or the run-up of the attacking/defending player) will influence the way actions are guided. The objective of the research presented here is to determine how visual information picked up from the visual environment influences the actions and decisions being made by the players in the game of soccer. For instance, deciding when and how to move is very important when keeping goal in soccer. Goal-keepers must attend to pertinent visual information (player and ball) that will allow them to judge where the ball is going, to get their body in the right place at the right time. However, more and more teams are exploiting the free-kick scenario as an opportunity for scoring goals (Grant et al, 1999). This appears to be related to the freedefensive wall. Why do players try to put spin on the trajectory make it more difficult for the goal-keeper to anticipate where the ball is going and subsequently control their actions to actually get there? In other words does spin give the attacker a competitive advantage?This talk will present experimental work that significantly how to act (Craig et al, 2006). By immersing players in a virtual soccer stadium and allowing them to interact with realistic curved free kicks we show to what extent the impact up...

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Bending It Like Beckham: How to Visually Fool the Goalkeeper

Cited by 69 publications

References 30 publications

Control at stability's edge minimizes energetic costs: expert stick balancing

Control at stability's edge minimizes energetic costs: expert stick balancing

Expert players accurately detect an opponent’s movement intentions through sound alone.

Virtual goal- keeping: Understanding how perception influences decisions about action

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