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Enregistrement W4413307746 · doi:10.1186/s13293-025-00747-y

The role of visual experience in haptic spatial perception: evidence from early blind, late blind, and sighted individuals

2025· article· en· W4413307746 sur OpenAlexafffund
Lara A. Coelho, Daniela E. Aguilar Ramirez, Serena Basta, Marta Guarischi, Claudia L. R. Gonzalez, Monica Gori

Notice bibliographique

RevueBiology of Sex Differences · 2025
Typearticle
Langueen
DomaineNeuroscience
ThématiqueTactile and Sensory Interactions
Établissements canadiensUniversity of Lethbridge
Organismes subventionnairesHORIZON EUROPE European Research CouncilNatural Sciences and Engineering Research Council of Canada
Mots-clésHaptic technologyPerceptionStereotaxyPsychologyHaptic perceptionBlindnessVisual perceptionTask (project management)Cognitive psychologyAudiologyComputer scienceArtificial intelligenceMedicineNeuroscienceOptometry

Résumé

récupéré en direct d'OpenAlex

There is contradictory evidence on the effect that visual experience has on haptic abilities. Indeed, some studies have documented that a lack of vision (blindness) results in decreased haptic perception, whereas other studies report an enhanced haptic ability in blind individuals. To examine the role of vision in haptic spatial processing, we recruited early blind, late blind, and sighted participants. Each participant completed a haptic task in which they explored a two-piece LEGO model for eight seconds before searching for the same pieces in a bowl of distractors. Our results showed that blind individuals made more errors than sighted participants. Furthermore, early blind participants performed worse than both late blind and sighted participants, who performed similarly. These findings highlight the importance that vision plays in the development of accurate haptic spatial perception. Additionally, we investigated whether the commonly reported male advantage in haptic tasks depends on visual experience. Our results showed better performance by males in all groups when compared to females. This result suggests that sex differences in haptic spatial processing are a fundamental characteristic of human sensory function, independent of visual experience.Highlights No study has investigated if the previously identified male advantage in haptic spatial processing is mediated by visual experience. Blind participants made more errors than sighted participants; early blind performed the worst. The findings suggest vision is crucial for the development of accurate haptic spatial perception. There was a consistent male advantage in haptic performance across all visual experience groups. Sex differences in haptic spatial ability appear to be independent of visual expertise. Plain language summarySome researchers have suggested that being blind reduces abilities in their other senses, while others believe that a lack of vision can improve them. To further understand which is true, we investigated whether the haptic system-the combination of touch and proprioception (awareness of where the body is in space)-is affected by blindness. To do this, we tested people who were blind from birth (early blind), people who became blind later in life (late blind), and people who can see (sighted) on a simple haptic task. In the task, participants felt a small LEGO model with their hands for eight seconds. Then, they had to find the same LEGO pieces in a bowl filled with other, distractor pieces-using only haptics. We found that blind participants made more mistakes than sighted participants. Those who were blind from birth had the most difficulty. People who became blind later in life performed similarly to sighted individuals. This suggests that vision plays an important role in developing accurate haptic perception. As previous work has shown that males outperform females on haptic tasks, we also investigated whether those differences depended on vision. We found that males performed better than females in all groups, regardless of whether they were blind or sighted. This suggests that sex differences in haptic ability may be a basic feature of how our senses work and not just related to vision.

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)0,000
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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,354
Score d'incertitude au seuil0,317

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
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 Opus0,057
Tête enseignante GPT0,340
Écart entre enseignants0,283 · 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'étudeObservationnel
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

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

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