The aim of the present study was to investigate how the heart and the brain react to playing chess with a computer versus in a real context in chess players. We also aim to investigate if familiarization with simulated practice leads to changes in heart rate variability (HRV) and the electroencephalographic (EEG) power spectrum. We designed a cross-sectional study, enrolling 27 chess players. They were randomly assigned to 3 minutes plus 2-second chess games: one with a computer (simulated scenario), and another in a real context. Additionally, participants were divided into two groups according to their level of familiarization of playing chess in a computer context. While they were playing, HRV and EEG were continuously recorded. Differences in HRV and EEG theta power spectrum between playing chess in a real or a simulated scenario were not found in chess players (-value > 0.05). When participants were divided into groups (familiarized and unfamiliarized with simulated chess practice), significant differences were observed in HRV and EEG (-value < 0.05). The EEG theta power spectrum was significantly lower, and HRV was higher in unfamiliarized players during the simulated scenario, which could indicate that they were less focused in a simulated environment than in a real context. Therefore, familiarization with simulated environments should be taken into account during the training process to achieve the best performance.
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http://dx.doi.org/10.3390/ijerph16245021 | DOI Listing |
Br J Psychol
December 2024
University of Sheffield, Sheffield, UK.
Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.
View Article and Find Full Text PDFBehav Sci (Basel)
November 2024
Instituto Universitario de Investigación e Innovación en el Deporte, Universidad de Extremadura, 10003 Cáceres, Spain.
(1) Background: Previous studies showed that neurofeedback and biofeedback could improve stress levels, enhance self-control over physiological factors, improve behavioral efficiency, and increase reaction speed to stimuli. Specifically, the sensorimotor rhythm stimulation (12-15 Hz) can enhance cognitive functions such as selective attention and working memory. However, there is no study that analyzes the effect of these interventions in chess players.
View Article and Find Full Text PDFFront Psychol
October 2024
Department of Neurocognition and Action-Biomechanics, Faculty of Sport Sciences, Bielefeld University, Bielefeld, Germany.
Introduction: Visuocognitive performance is closely related to expertise in chess and has been scrutinized by several investigations in the last decades. The results indicate that experts' decision-making benefits from the chunking process, perception and visual strategies. Despite numerous studies which link these concepts, most of these investigations have employed common research designs that do not use real chess play, but create artificial laboratory conditions via screen-based chess stimuli and obtrusive stationary eye tracking with or without capturing of decision-making or virtual reality settings.
View Article and Find Full Text PDFData Brief
December 2024
Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor Bahru, Malaysia.
The dataset presents raw data on the egocentric (first-person view) and exocentric (third-person view) perspectives, including 47166 frame images. Egocentric and exocentric frame images are recorded from original iPhone videos simultaneously. The egocentric view captures the details of proximity hand gestures and attentiveness of the iPhone wearer, while the exocentric view captures the hand gestures in the top-down view of all participants.
View Article and Find Full Text PDFPLoS One
November 2024
Department of Political Economy, King's College London, London, United Kingdom.
Recently, Artificial Intelligence (AI) technology use has been rising in sports to reach decisions of various complexity. At a relatively low complexity level, for example, major tennis tournaments replaced human line judges with Hawk-Eye Live technology to reduce staff during the COVID-19 pandemic. AI is now ready to move beyond such mundane tasks, however.
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