Analysis of Spatiotemporal Features in Virtual Navigation Game Across Different Age Groups: Quantitative research (Preprint)
Notice bibliographique
Résumé
BACKGROUND Virtual reality (VR) navigation games are increasingly employed to investigate human navigational behavior and cognitive performance under controlled spatial conditions. However, there is a lack of empirical research on how spatial configurations and individual cognitive abilities influence wayfinding performance, particularly across different age groups. OBJECTIVE This study aims to investigate the critical associations between environmental factors (external factors) and cognitive abilities (internal factors) in shaping navigational behavior performance in wayfinding games across different age groups. METHODS We designed a virtual navigation game and recruited two groups, younger adults (n = 18) and older adults (n = 21), to complete identical goal-directed wayfinding tasks. Prior to the formal experiment, cognitive abilities were assessed through questionnaires, and pre-training was conducted to ensure participants were familiar with navigating within the virtual environment (VE). In this study, navigation efficiency was used as the primary spatiotemporal feature, and Spearman’s rank correlation was employed to examine its relationship with cognitive abilities. To quantify the spatial structure of the VE, we applied Space Syntax Analysis (SSA), including both Axial Map Analysis (AMA) and Visibility Graph Analysis (VGA), to investigate the associations between navigation efficiency and spatial configurations. Additionally, the Mann-Whitney U test was used to compare navigation behavior differences between the age groups from a spatiotemporal perspective. RESULTS Our results revealed that navigation behavior performance, particularly navigation efficiency, was significantly influenced by cognitive abilities and strongly correlated with several cognitive tests: the Montreal Cognitive Assessment (r = 0.495, p < 0.05), Part A of the Trail Making Test (r = -0.761, p < 0.01), and the Mental Rotation Test (r = 0.848, p < 0.01). Additionally, aging leaded to a significant decline in navigation efficiency (Z = -4.285, p < 0.001). Affected by the surrounding environmental factors of the axial path, navigation efficiency was closely related to connectivity (r = 0.675, p < 0.05), integration (r = 0.749, p < 0.01), and depth (r = -0.646, p < 0.05) derived from AMA. The integration experienced, based on participants' movement trajectories and VGA, showed significant age differences (Z = -2.097, p < 0.05) and was correlated with navigation efficiency (r = -0.366, p < 0.05). CONCLUSIONS The spatiotemporal features of virtual navigation games are shaped by both cognitive abilities and environmental structure. There is ample evidence confirming that navigation games have great potential to serve as an effective cognitive assessment tool. Our findings also reveal that younger participants or those with better cognitive abilities tend to prioritize traversing lower-integrated areas to enhance navigation efficiency, leading to more optimal navigation strategy.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 source (Gemma direct ou Codex distillé), pas un consensus.
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