Position Affects Performance in Multiple-Object Tracking in Rugby Union Players

Martín, Aurelio; Sfer, Ana María; Villar, Marcela Adriana D'urso; Barraza, J.

doi:10.3389/fpsyg.2017.01494

Cited by 11 publications

(19 citation statements)

References 46 publications

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“…In accordance with the literature ( Faubert, 2013 ; Martín et al, 2017 ; Qiu et al, 2018 ; Harris et al, 2020a ; Jin et al, 2020 ), visual tracking performance was higher in soccer players than in non-soccer players regardless of movement type. These findings supported the idea that soccer players have higher core perceptual-cognitive abilities like visual attention ( Voss et al, 2010 ; Qiu et al, 2018 ; Jin et al, 2020 ) or working memory ( Green and Bavelier, 2006 ; Harris et al, 2020a ).…”

Section: Discussionsupporting

confidence: 91%

“…In relation to the sports domain, inter-individual differences were also found between practitioners and non-practitioners of team sports ( Qiu et al, 2018 ; Harris et al, 2020a ; Jin et al, 2020 ). However, this effect seemed to be moderated by the level of practice ( Faubert, 2013 ; Qiu et al, 2018 ) and the players position on the field ( Mangine et al, 2014 ; Martín et al, 2017 ). The study by Memmert et al (2009) was the only one to not find any differences between groups on an MOT task.…”

Section: Introductionmentioning

confidence: 95%

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Multiple Players Tracking in Virtual Reality: Influence of Soccer Specific Trajectories and Relationship With Gaze Activity

Vu¹,

Sorel²,

Limballe³

et al. 2022

Front. Psychol.

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The perceptual-cognitive ability to track multiple moving objects and its contribution to team sports performance has traditionally been studied in the laboratory under non-sports specific conditions. It is thus questionable whether the measured visual tracking performance and the underlying gaze activity reflected the actual ability of team sports players to track teammates and opponents on a real field. Using a Virtual Reality-based visual tracking task, the ability of participants to track multiple moving virtual players as they would do on a soccer field was observed to pursue two objectives. (i) See the influence of different scenario types (soccer-specific trajectories versus pseudo-random trajectories) on the visual tracking performance of soccer (n = 15) compared to non-soccer players (n = 16). (ii) Observe the influence of spatial features of the simulated situations on gaze activity between soccer players and non-soccer players. (i) The linear mixed model regression revealed a significant main effect of the group but no interaction effect between group and the type of trajectories, suggesting that the visual tracking ability of soccer players did not benefit from their specific knowledge when they faced scenarios with real game trajectories. (ii) Virtual players’ spatial dispersion and crowding affected the participants’ gaze activity and their visual tracking performance. Furthermore, the gaze activity of soccer players differed in some aspects from the gaze activity of non-soccer players. Assumptions are formulated as to the implication of these results in the difference in visual tracking performance between soccer players and non-soccer players. Overall, using soccer-specific trajectories might not be enough to replicate the representativeness of the field conditions in the study of visual tracking performance. Multitasking constraints should be considered along with motor-cognitive dual-tasks in future research to develop the representativeness of visual exploration conditions.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 95%

Multiple Players Tracking in Virtual Reality: Influence of Soccer Specific Trajectories and Relationship With Gaze Activity

Vu¹,

Sorel²,

Limballe³

et al. 2022

Front. Psychol.

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“…NeuroTracker has since been developed as a training tool to improve cognitive functions including attention, working memory, and visual processing speed (Parsons et al, 2016 ). This technology has potential application for testing and training cognitive function in athletes (Martin et al, 2017 ) and individuals with concussion (Corbin-Berrigan et al, 2018 ), and improving biological perception of motion in the elderly (Legault and Faubert, 2012 ). The NeuroTracker application has not been validated.…”

Section: Technologies For Monitoring Psychological Stress and Evaluatmentioning

confidence: 99%

A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations

2018

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The commercial market for technologies to monitor and improve personal health and sports performance is ever expanding. A wide range of smart watches, bands, garments, and patches with embedded sensors, small portable devices and mobile applications now exist to record and provide users with feedback on many different physical performance variables. These variables include cardiorespiratory function, movement patterns, sweat analysis, tissue oxygenation, sleep, emotional state, and changes in cognitive function following concussion. In this review, we have summarized the features and evaluated the characteristics of a cross-section of technologies for health and sports performance according to what the technology is claimed to do, whether it has been validated and is reliable, and if it is suitable for general consumer use. Consumers who are choosing new technology should consider whether it (1) produces desirable (or non-desirable) outcomes, (2) has been developed based on real-world need, and (3) has been tested and proven effective in applied studies in different settings. Among the technologies included in this review, more than half have not been validated through independent research. Only 5% of the technologies have been formally validated. Around 10% of technologies have been developed for and used in research. The value of such technologies for consumer use is debatable, however, because they may require extra time to set up and interpret the data they produce. Looking to the future, the rapidly expanding market of health and sports performance technology has much to offer consumers. To create a competitive advantage, companies producing health and performance technologies should consult with consumers to identify real-world need, and invest in research to prove the effectiveness of their products. To get the best value, consumers should carefully select such products, not only based on their personal needs, but also according to the strength of supporting evidence and effectiveness of the products.

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“…This finding indicates that basketball players have a marked advantage over nonathletic college students in attention to processing speed in multitarget tracking tasks. Martín et al (2017) investigated attention between rugby players who played different positions in the game and non-athletes by adjusting the target speed in the MOT task. Their results showed that the visual tracking performance of rugby players in defender positions is significantly better than that of both players in forward positions and in non-athletes.…”

Section: Visual Tracking Performance Associated With Target Speedmentioning

confidence: 99%

“…Faubert (2013) showed that professional athletes are much better than sub-elites and novices to process complex dynamic visual scenes. Martín et al (2017) used the MOT task and found that the tracking performance of rugby players in the back positions is better than that of those in the forward positions and better than that of undergraduate students. All of the aforementioned studies have used the MOT task to show that expertise in visual attention provides certain advantages.…”

Section: Introductionmentioning

confidence: 99%

Dynamic visual attention characteristics and their relationship to match performance in skilled basketball players

Jin

et al. 2020

PeerJ

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Background Dynamic visual attention is important in basketball because it may affect the performance of players and thus the match outcome. The goals of this study were to investigate the difference in dynamic visual attention characteristics between highly skilled basketball players and nonathletic college students and to explore the relationship between visual attention and game-related performance among the basketball players. Methods In total, 24 highly skilled basketball players and 24 nonathletic college students participated in a multiple object tracking task. The task was conducted so that either the number of targets that were visually tracked or the speed at which a given number of tracked targets moved was altered to examine the difference in dynamic visual attention characteristics between the basketball players and nonathletic college students. The relationship between visual tracking speed (VTS) and game-related statistics, including assists, steals, mistakes, fouls and points scored recorded for every match during the season, was assessed among the basketball players by using Pearson correlations. Results A significant main effect of target tracking load was observed (P < 0.001), with visual tracking performance significantly decreased as target number increased. In addition, the speed at which the targets moved had a significant effect on visual tracking performance (P < 0.001), with tracking performance significantly decreased as target speed increased. However, no significant difference was observed in the abilities of basketball players and nonathletic college students to simultaneously track up to six targets. By contrast, a significant interaction between group and target speed was found (P < 0.001), with the visual tracking accuracy of basketball players significantly greater than that of college students at the higher target speeds examined (P < 0.001). Among basketball players, there were positive, large, and statistically significant correlations in the accuracy in VTS trials and the number of assists (P < 0.001) and between the accuracy in VTS trials and the number of steals (P < 0.001). Conclusion The advantage of skilled basketball players to handle dynamic visual information in a multiple object tracking task was not attributable to the target number but to the target speed. Those athletes with greater dynamic visual attention were more likely to successfully assist or to steal the ball, enhancing performance of the athlete as well as contributing to a more successful team match. These findings may inform basketball training programs to improve player and team performances during matches.

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Position Affects Performance in Multiple-Object Tracking in Rugby Union Players

Cited by 11 publications

References 46 publications

Multiple Players Tracking in Virtual Reality: Influence of Soccer Specific Trajectories and Relationship With Gaze Activity

Multiple Players Tracking in Virtual Reality: Influence of Soccer Specific Trajectories and Relationship With Gaze Activity

A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations

Dynamic visual attention characteristics and their relationship to match performance in skilled basketball players

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