Parents’, Teachers’, and Sledders’ Acceptability of a Virtual Reality Game for Sledding Safety Education: Cross-Sectional Study
Notice bibliographique
Résumé
Background: Sledding is a common recreational activity in the Alpine region, practiced by families, friends, and at school, but it is rarely considered to cause serious injuries. Current actions to promote safe sledding are limited to announcements at the start of dedicated tracks or to didactic sheets presented by teachers in schools. However, these actions are currently limited and do not allow the development of piloting technique skills. Virtual reality has the potential to develop piloting skills, although the development of a virtual reality for sledding safety education needs to be guided by its acceptability. Objective: The purpose of this study was to (1) examine the acceptability of the virtual reality game for sledding safety education from the perspective of different potential user profiles (ie, parents, teachers, and sledders) based on the Unified Theory of Acceptance and Use of Technology 2 enriched by the health locus of control (HLC), and (2) understand participants' preferences and needs in terms of features to be integrated to the technology. Methods: Three profiles of participants (ie, parents, teachers, or sledders) were recruited through email diffusion from elementary schools, university, and ski resort announcements (Tyrol, Austria). They completed a series of questionnaires measuring: (1) demographic and general information, (2) acceptability of virtual reality sledding game for safety education (named VRodel), (3) perception of HLC, and (4) preferences and needs for VRodel. Results: A total of 122 participants (15 teachers, 43 parents or legal guardians, and 64 sledders) completed the survey. Findings reveal that the constructs of hedonic motivation (β=.43, P<.001), price sensitivity (β=.28, P<.001), and habit (β=.36, P<.001) explained 65% of the variance in behavioral intention to use VRodel. Two acceptability clusters were identified (low and high), but no differences between the acceptability clusters emerged based on age, status, gender, or previous virtual reality use. Internal HLC was positively correlated with all dimensions of acceptability except social influence and facilitating conditions. Some correlations between acceptability constructs were also shown with powerful others' HLC. Participants highlighted the need to include realistic visual details and realistic interactions in the virtual environment for development. Conclusions: The acceptability of a virtual reality game for sledding safety education was quite high, and relationships with HLC were shown in the expected directions. Based on participants' preferences, developers are advised to promote immersion in the game.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».