Publicación: AI-Powered Psychomotor Learning through basketball practice: Opportunities and Challenges
dc.contributor.author | Portaz Collado, Miguel Ángel | |
dc.contributor.author | Cabestrero Alonso, Raúl | |
dc.contributor.author | Quirós Expósito, Pilar | |
dc.contributor.author | Santos, Olga C. | |
dc.contributor.editor | Santoianni, Flavia | |
dc.contributor.editor | Giannini, Gianluca | |
dc.contributor.editor | Ciasullo, Alessandro | |
dc.coverage.spatial | Switzerland | |
dc.date.accessioned | 2025-01-13T09:55:49Z | |
dc.date.available | 2025-01-13T09:55:49Z | |
dc.date.issued | 2024-06-23 | |
dc.description.abstract | This chapter delves into the dynamic landscape of systems designed for the human centered learning of motor skills, with a primary focus on their application in the context of basketball. As technology continues to advance, opportunities emerge for innovative solutions that enhance skill acquisition, performance analysis, and overall proficiency in sports. The opportunities presented by cutting-edge systems, such as sensor-based technologies, offer new dimensions for sport psychologist, coaches, athletes and learners alike. These systems can provide real-time feedback and personalized training regimens, revolutionizing the traditional approaches to skill development. Specifically within the realm of basketball, this chapter addresses how these technologies can enhance shooting skills by improving spatial agility, initial burst speed, and directional responsiveness. However, along with these opportunities come significant challenges, such as the adaptability of technology across diverse skill levels, the need for robust data security in performance analytics, and the potential over-reliance on technology to the detriment of fundamental coaching. Balancing the integration of technology with the human centered elements is crucial to ensure that these systems genuinely enhance the learning experience without diminishing the importance of hands-on coaching and the inherent nuances of the sport. | en |
dc.identifier.citation | Portaz, M., Cabestrero, R., Quirós, P., Santos, O.C. (2024). AI-Powered Psychomotor Learning Through Basketball Practice: Opportunities and Challenges. In: Santoianni, F., Giannini, G., Ciasullo, A. (eds) Mind, Body, and Digital Brains. Integrated Science, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-031-58363-6_13 | |
dc.identifier.doi | https://doi.org/10.1007/978-3-031-58363-6_13 | |
dc.identifier.isbn | 978-3-031-58362-9 Online ISBN978-3-031-58363-6 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14468/25213 | |
dc.language.iso | en | |
dc.publisher | Springer Nature Switzerland | |
dc.relation.center | Facultades y escuelas::Facultad de Psicología | |
dc.relation.department | Psicología Básica II | |
dc.relation.ispartof | Mind, Body, and Digital Brains. Integrated Science | |
dc.rights | info:eu-repo/semantics/embargoedAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | |
dc.subject | 61 Psicología | |
dc.subject.keywords | learning | en |
dc.subject.keywords | artificial intelligence | en |
dc.subject.keywords | human-centered | en |
dc.subject.keywords | psychology | en |
dc.title | AI-Powered Psychomotor Learning through basketball practice: Opportunities and Challenges | en |
dc.type | capítulo de libro | es |
dc.type | book part | en |
dspace.entity.type | Publication | |
person.familyName | Portaz Collado | |
person.familyName | Cabestrero Alonso | |
person.familyName | Quirós Expósito | |
person.familyName | Santos | |
person.givenName | Miguel Ángel | |
person.givenName | Raúl | |
person.givenName | Pilar | |
person.givenName | Olga C. | |
person.identifier.orcid | 0000-0001-8927-8620 | |
person.identifier.orcid | 0000-0003-3697-1303 | |
person.identifier.orcid | 0000-0002-2942-2018 | |
person.identifier.orcid | 0000-0002-9281-4209 | |
relation.isAuthorOfPublication | f7ce5008-064f-4b12-b17f-7f70ba978afe | |
relation.isAuthorOfPublication | ab3e56ee-585e-45a8-ab1d-4d556e70670e | |
relation.isAuthorOfPublication | 2d7fc5f4-3952-40e8-8038-f1c3a235eae5 | |
relation.isAuthorOfPublication | df3339e5-d482-4ea3-85ad-3a554c2ba075 | |
relation.isAuthorOfPublication.latestForDiscovery | f7ce5008-064f-4b12-b17f-7f70ba978afe |
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