Abstract: The Sincrony Method, introduced in Italy in 1991, represents an innovative pedagogical approach in the motor-sport sector. Connected with the theory of embodied cognition, this method highlights the complex synergy between body and cognition, considering them fundamental tools in learning. A key aspect of this approach is the interaction between peripheral visual capacity and body dynamics, particularly relevant in high-level sports education. This study, focusing on Embodied Artificial Intelligence in the sports field, used as a specialized device, aims at training peripheral vision in real contexts. In the past decade, in this field, the integration of advanced technologies such as video games or viewers has been tested with ambivalent results often related to a lack of transferability. Therefore, the application of new technologies directly in the real training environment could make motor learning more efficient. Although data are limited, the integration of Embodied A.I. for the improvement of peripheral vision, according to expert estimates, is potentially enriching. However, it must be acknowledged that, while this technology is estimated to be useful in the evolution of motor learning, it cannot replace traditional teaching. The real challenge will then consist of integrating body, mind, environment, and technology in a holistic approach to refine technical skills while respecting individual uniqueness.
ADVANCED MOTOR-SPORT PEDAGOGY: EMBODIED (ARTIFICIAL) AND PERIPHERAL VISION
A. Fogliata
;
2023
Abstract
Abstract: The Sincrony Method, introduced in Italy in 1991, represents an innovative pedagogical approach in the motor-sport sector. Connected with the theory of embodied cognition, this method highlights the complex synergy between body and cognition, considering them fundamental tools in learning. A key aspect of this approach is the interaction between peripheral visual capacity and body dynamics, particularly relevant in high-level sports education. This study, focusing on Embodied Artificial Intelligence in the sports field, used as a specialized device, aims at training peripheral vision in real contexts. In the past decade, in this field, the integration of advanced technologies such as video games or viewers has been tested with ambivalent results often related to a lack of transferability. Therefore, the application of new technologies directly in the real training environment could make motor learning more efficient. Although data are limited, the integration of Embodied A.I. for the improvement of peripheral vision, according to expert estimates, is potentially enriching. However, it must be acknowledged that, while this technology is estimated to be useful in the evolution of motor learning, it cannot replace traditional teaching. The real challenge will then consist of integrating body, mind, environment, and technology in a holistic approach to refine technical skills while respecting individual uniqueness.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
