Goal-directed self-talk used to self-regulate in male basketball competitions

Latinjak, Alexander T.; Torregrossa, Miquel; Comoutos, Nikos; Hernando-Gimeno, Cristina; Ramis, Yago

doi:10.1080/02640414.2018.1561967

Cited by 27 publications

(19 citation statements)

References 26 publications

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“…However, as routines are more easily applicable to self-paced skills (e.g., the tennis serve in our data), self-talk interventions, focusing on directing attentional control 'in the moment', may be more appropriate for skills when time constraints are more pronounced (e.g., rally strokes and volleys in our data). Again, the self-regulatory benefits of intentionally using self-talk are numerous; including directing attentional focus, enhancing confidence, regulating effort, and controlling emotional and cognitive reactions (Latinjak et al, 2019;Theodorakis et al, 2008). In the specific context of reducing attention towards potentially threatening failure signals, there is some evidence that self-talk interventions might be useful.…”

Section: Discussionmentioning

confidence: 99%

Psychological pressure and compounded errors during elite-level tennis

Harris

Vine

Eysenck

et al. 2021

Psychology of Sport and Exercise

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Objectives: In the context of Grand Slam tennis, we sought to examine how situational pressure and prior errors can disrupt subsequent performance in elite performers.Methods: A retrospective analysis of more than 650,000 points across 12 Grand Slam tennis tournaments from 2016-2019 was conducted to identify pressurised in-game moments and unforced errors. A scoring system was used to index situational pressure based on the current match situation (e.g., break points, stage of the match) on a pointby-point basis. The occurrence of performance errors was identified based on double faults and unforced errors, as instances of controllable mistakes. Results: A mixed effects logistic regression model revealed that an increase in the pressure index (a 1-5 score) significantly increased the probability of a performance error (ps<.001), as did an error on the preceding point (OR=1.2, 95%CI [1.17, 1.23], p<.001). A multiplicative effect of pressure and prior errors also emerged, as the negative impact of prior errors on performance was greater when situational pressure was already high, in line with the predictions of Attentional Control Theory: Sport (ACTS). Analyses of the distribution of winners and unforced errors across individual players revealed that winning players were as susceptible to pressure and prior errors as losing players. Conclusions: These findings extend our understanding of how ongoing feedback from prior mistakes may further exacerbate the effects of pressure on performance.

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Section: Discussionmentioning

confidence: 99%

Psychological pressure and compounded errors during elite-level tennis

Harris

Vine

Eysenck

et al. 2021

Psychology of Sport and Exercise

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“…Boudreault et al (2018) described, as an example, motivational and emotion control functions of goal-directed self-talk, which reflect many of the participants’ comments on the outcomes of the present intervention. Likewise, concentration and confidence-oriented statements are among the most replicated findings in the research on goal-directed self-talk (e.g., Latinjak et al, 2014, 2019b). However, all of these studies were descriptive and therefore cannot establish a causal link between goal-directed self-talk and performance-related variables.…”

Section: Discussionmentioning

confidence: 75%

Endorsement and Constructive Criticism of an Innovative Online Reflexive Self-Talk Intervention

et al. 2019

Self Cite

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This study prospectively followed the experiences of skilled athletes who were involved in an innovative reflexive self-talk online intervention targeting goal-directed self-talk. Four experienced female athletes between the ages of 20 and 40 years were invited to an initial interview, a 4-week intervention, and two post-intervention interviews. Two applied sport psychologists used an online Socratic questioning approach to encourage their athletes to describe challenging scenarios, think about their use of self-talk and its effectiveness, and explore alternative self-statements that could be used in future situations. Data were multi-sourced stemming from the psychologists, athletes, and third parties (e.g., coach). Three athletes completed the intervention, whereas one athlete withdrew prematurely, mainly because the Socratic questioning approach and the online mode of delivery did not meet her preferences. From the three athlete who had completed the intervention, there was endorsement and constructive criticism of the intervention and its online delivery mode. The intervention, largely due to the accompanying raised awareness of self-talk use and refined content, seemingly benefited a range of variables including emotions, motivation, and confidence, both inside and outside of the athletes’ sports life domain. Accordingly, this new type of online intervention warrants further consideration in the literature.

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“…Basketball sports techniques include linear motion and compound motion of the human body or the ball. From the perspective of body balance, there are two kinds of balances, that is, static balance and steady-state balance (Latinjak et al, 2019). Static balance means that the human body's action remains static relative to its spatial position for a period of time.…”

Section: Psychological Analysis Of Fake Actions In Ball-holding Players With Cross-stepmentioning

confidence: 99%

Convolutional Neural Network-Based Human Movement Recognition Algorithm in Sports Analysis

Liu

2021

Front. Psychol.

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In order to analyse the sports psychology of athletes and to identify the psychology of athletes in their movements, a human action recognition (HAR) algorithm has been designed in this study. First, a HAR model is established based on the convolutional neural network (CNN) to classify the current action state by analysing the action information of a task in the collected videos. Secondly, the psychology of basketball players displaying fake actions during the offensive and defensive process is investigated by combining with related sports psychological theories. Then, the psychology of athletes is also analysed through the collected videos, so as to predict the next response action of the athletes. Experimental results show that the combination of grayscale and red-green-blue (RGB) images can reduce the image loss and effectively improve the recognition accuracy of the model. The optimised convolutional three-dimensional network (C3D) HAR model designed in this study has a recognition accuracy of 80% with an image loss of 5.6. Besides, the time complexity is reduced by 33%. Therefore, the proposed optimised C3D can recognise effectively human actions, and the results of this study can provide a reference for the investigation of the image recognition of human action in sports.

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Goal-directed self-talk used to self-regulate in male basketball competitions

Cited by 27 publications

References 26 publications

Psychological pressure and compounded errors during elite-level tennis

Psychological pressure and compounded errors during elite-level tennis

Endorsement and Constructive Criticism of an Innovative Online Reflexive Self-Talk Intervention

Convolutional Neural Network-Based Human Movement Recognition Algorithm in Sports Analysis

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