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Exploring why powered mobility experiences can accelerate overall development in infants aged 3-12 months : (oral presentation 30 min)

2025· article· en· W7113502040 sur OpenAlexaboutno aff

Notice bibliographique

RevueLund University Publications (Lund University) · 2025
Typearticle
Langueen
DomaineHealth Professions
ThématiqueAssistive Technology in Communication and Mobility
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWheelchairSurprisePresentation (obstetrics)Typically developingGRASPJoystickMirroringExploratory research
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Dr Lisbeth NilssonLearning objectives:1. Discover how and why technology can enable non-mobile infants and children in developing tool-use and participation with the world.2. Explain how and why experiences of self-produced movement in a powered device can impact on very young infants’ overall development3. Motivate provision of opportunities to explore and experience powered mobility to very young infants and toddlers with disabilities.Session description:Infants, with typical or delayed development or disabilities, are dependent on others to access opportunities for experiences and participation in enriched physical and social environments. Provision of tests in a joystick-operated powered mobility device can give such opportunities before the age when infants develop physical abilities to move around on their own.The aims are to explore and explain why very young infants who got the opportunity to explore a joystick-operated powered wheelchair, and thereby experienced self-produced mobility, showed accelerated overall development.The Driving to Learn research collected video-data of typically developing infants aged 3-12 months testing a joystick-operated powered wheelchair. Thirty-five hours of video was collected from 40 tests with 17 infants, doing one test/month (1-6 tests), with a “driving”-period of 15-32 minutes. Reanalysis of observed tool-use behaviours were compared to existing research on infant development.The infants, as early as at age 3-4 months, showed understanding of cause effect – acts on joystick made the powered wheelchair move. The unpredicted movements caused surprise and alerting, exited exploration using hand/s to touch and grasp the joystick in an exploratory way. The multisensory experience resulting from acting and moving around increased attention, perception, motor control; nurtured understanding of relationships, predictive behaviour, a growing sense of self and agency.Technology can enable infants in exploring and experiencing the world in an upright position, at the time when head stability allows for seating and movement in a powered device. A centre-mounted joystick is magic being stuck and still movable by using gross motor actions. The findings emphasize the importance of providing very young infants, toddlers and children with disabilities opportunities to explore powered mobility. Exploring and becoming in control of moving around is empowering by opening new opportunities for participation and allowing enriched experiences that can accelerate overall development.Content references:1. Nilsson, L. and P. Nyberg (1998). Training in powered wheelchair, benefits for individuals at an early developmental level. Poster presentation. The 12th International Congress of the World Federation of Occupational Therapists, Montreal, Canada2. Nilsson, L. (2007). Driving to Learn: the process of growing consciousness of tool use: a grounded theory of de-plateauing (Publication Number 2007:34) [Doctoral dissertation, Lund University]. Lund, Sweden https://doi.org/10.13140/RG.2.2.15543.603273. Kenyon, L. and L. Nilsson (2021). Early tool-use learning: Using Powered Mobility to Enhance Development. 33rd Annual EACD Meeting: European Academy of Childhood Disability. Virtual conference4. Nilsson, L. (2019). Powered mobility for people with profound cognitive disabilities leads to developing occupational performance. British Journal of Occupational Therapy, 82(11) 655–657, https://doi.org/10.1177/03080226198396175. Schwartzer, G. and Jovanovic, B. (2024). Infants’ predictive minds: The role of motor experiences. Child Development Perspectives, 18:123-128 https://doi.org/1111/cdep.12506Presenter biography:Lisbeth Nilsson is a PhD, Occupational Therapist and specialist, associated to Department of Health Sciences, Lund University, Sweden. She developed the Driving to Learn intervention for people with profound cognitive disabilities (1996-2007). She and Josephine Durkin, UK, collaborated on developing the Assessment of Powered mobility use (ALP) (2009-2016). Her special interests are how infants, children and adults with cognitive disabilities learn how to use a variety of tools, and how to assess and facilitate the learning process. Her current focus is explaining how to apply the universal ALP tool for assessment and facilitation of learning in a variety of tool-use interventions. Her ongoing research collaborations nationally and internationally involves OTs, PTs and other rehabilitation professionals.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
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 enseignants0,642
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,151
Tête enseignante GPT0,356
Écart entre enseignants0,205 · 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.

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 ».

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Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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