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Enregistrement W2092512849 · doi:10.1097/00005768-200205001-01736

Virtual Reality and Elite Athletes

2002· article· en· W2092512849 sur OpenAlexaffabout
Ruth Morey Sorrentino, Larry Katz

Notice bibliographique

RevueMedicine & Science in Sports & Exercise · 2002
Typearticle
Langueen
DomaineComputer Science
ThématiqueVirtual Reality Applications and Impacts
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésVirtual realityIllusionComputer scienceHuman–computer interactionAffordanceVisualizationMultimediaEliteHypermediaPsychologyArtificial intelligence

Résumé

récupéré en direct d'OpenAlex

This paper will provide a discussion on virtual reality in sport. The terms virtual reality (VR), virtual environment (VE), and simulator, will be defined and discussed with regard to their potential as tools for the enhancement of elite athletic performance. Issues related to the need for these tools and the challenges of developing them, plus current examples of VR tools already in use by elite athletes, will be presented. VR refers to “an alternative world filled with 3-D computer generated images that respond to human movement” (Kaufman Broida & Germann, 1999, p. 95); this is similar to a virtual environment that is “made of three-dimensional [3-D] graphic images that are generated by computers for the expressed purpose of cognitive and physical interaction” (Caird, 1996, p. 124). According to Spring (1991), these are not new concepts, they are integral to work on scientific visualization, graphical user interfaces, hypertext, hypermedia, and visual languages. A truly virtual environment is one in which the user is a participant in an abstract space where physical machinery does not exist; only images and illusions are used to create a sense of reality. Helsel and Roth (1991) refer to the impact that resulted from the presentation of one of the first black and white movies, “The Arrival of the Train at the Station” (circa 1895), in which audience members physically jumped out of their seats to avoid being hit by the train. This is the kind of impact that researchers and developers would like to achieve in today's virtual environments, however audiences are now much more sophisticated and require environments that not only visually re-create reality, but also stimulate all the senses activated in the real environment. Simulators tend to be defined as either equipment or software that simulate all or part of the physical or cognitive elements of a specific act or skill. Caird (1996) argues that VE's are not very different from simulators that have essentially the same purpose. The difference is that VE's incorporate 3-D computer graphics with input devices that allow people to interact with the 3-D environment created around them whereas simulators do not. VR is immersive and takes simulators to another level. The types of input devices used to allow interaction are varied. For example, NASA uses devices such as eye phones, data gloves, and full body data suits to allow astronauts to explore various 3-D worlds (Spring, 1991). Paradiso and Hasan (2001) used compact, wireless, low pressure sensor cards inserted into a running shoe to monitor and transmit analog data, pressure measurements, acceleration data, angular and vertical spin coordinates, and orientation data which allow athletes to create interactive performances in simulated environments. As noted before, VE's need to stimulate as many as possible, if not all, of the senses stimulated by reality for the environment to be truly convincing and an effective training tool. This is one of the greatest challenges for virtual reality developers within the sports environments. The examples presented in this paper have been successful in stimulating a number of the senses as they are stimulated in reality. Wall, Bertrand, Gale, and Saunders (1998) asked sailors to sail a VR sailing simulator. The results found that performance in the simulator correlated highly with the real physical performance of the sailors (r = 0.99). Qualitative questionnaires given to the sailors also found that they perceived the correlation between the simulated and real physical performances to be high. However, they noted that the correlation between the results of the simulator performance and reality on the decision-making processes required during sailing was not as high. Another VR simulator, Computrainer created by RacermateTM is used by a number of elite cyclists, including athletes, at the Olympic Oval. The simulator applies pressure to the rear wheel of the rear wheel of the athletes' bike to simulate going uphill, on the flat, or downhill, and eases off when the athlete drafts behind another bike. The bike is also linked to a computer that provides the athlete with a 3-D visual picture of where they are and where their competitor is. This computerized aspect also provides a series of data on the athlete such as heart rate, rotations per minute, and calorie expenditure. A number of studies have found the simulator to be a very reliable and effective tool for simulating cycling (Carey & LaPort, 1999; Prasuhn, 2000). Preliminary work conducted at the Olympic Oval, University of Calgary, has been successful in creating a virtual oval that skaters can train the cognitive and visual components of speed skating at a variety of speeds over various distances.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,976
Score d'incertitude au seuil0,534

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,029
Tête enseignante GPT0,287
Écart entre enseignants0,257 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2002
Routes d'admission2
Résumé présentoui

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