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Enregistrement W6948694387 · doi:10.5281/zenodo.11473969

Characterizing the Interaction of the Effects of a Museum Visit on Mobility, Cognition, and Well-being in People with Stroke

2024· dataset· en· W6948694387 sur OpenAlexaboutno aff

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2024
Typedataset
Langueen
DomaineSocial Sciences
ThématiqueHistorical Influence and Diplomacy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychological interventionMental healthExploratory researchQuality (philosophy)Action (physics)Quality of life (healthcare)

Résumé

récupéré en direct d'OpenAlex

Study description This exploratory small case study operated by Medical Physics Laboratory & Digital Innovation of School of Medicine of Aristotle University of Thessaloniki (AUTH) is a collaborative study between AUTH and McGill-CRIR-Canada, and for this reason it followed and replicated part of the protocol of the Canadian VITALISE partners described above. The aim of this particular small-case study was to investigate the interaction of the effects of a museum visit (Museum of Casts and Antiquities in Aristotle University of Thessaloniki) on mobility, cognition, well-being and the experience of individuals, as well as to investigate whether cognitively and verbally accessible audio guides of exhibits contribute to a better understanding of the descriptions of these exhibits, through measurements made using advanced technologies. In this context, the data collected aimed also to draw some conclusions regarding the feasibility and user satisfaction of conducting a range of different measurements and interventions in a museum setting. Piloting phase: The piloting phase began in May 2023 and was concluded at the end of the year. Prior to the museum visit, the participants were administered some questionnaires in the Thessaloniki Action for HeAlth & Wellbeing Living Lab - Thess-AHALL, aiming to obtain a holistic view on their cognitive status, as well as dimensions of their physical and mental wellbeing and quality of life. Questionnaires during the museum visit.xlsx Afterwards, the participants, one at a time, entered the museum with the members from the project’s research team, where they were asked to wear some specific equipment. In particular, they initially wore a pair of smart insoles (Digitsole Pro Smart Insoles) (Digitsole-pro-museum-dataset.csv) and a smart watch (Smartwatch-Fitbit Charge 5) Fitbit Datasets.zip and were asked to walk at their own pace following a predetermined guided tour route through the museum spaces and exhibits. Breaks were provided whenever requested by the participants.After completing their guided tour in the museum, they were asked to wear eye-tracking glasses (Pupil Labs) Pupils-dataset.zip and headphones to listen to audio descriptions (audio guides) of three selected exhibits, the Tombstone, the Hermes of Praxiteles and the West Pediment from the temple of Zeus at Olympia. Specifically, they were asked to stand in front of three (3) exhibits and listen to the description. For each of the three exhibits, participants first listened to their original description (a description that someone can usually find next to the exhibit or in a relevant educational textbook) and then they listened to the modified, accessible version of the exhibit description (with simpler words, shorter sentences etc.). After each audio description (original and modified), they were asked to answer a number of predetermined questions related to the audio description they had just heard. At the end, after the aforementioned equipment was removed, they were asked to answer a number of questions and questionnaires about their overall museum experience and potential challenges or stress experienced (Satisfaction and feasibility questionnaire, Visual Analog Stress scale, State-Trait Anxiety Inventory) Analysis feasibility & satisfaction questionnaire.xlsx.

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,554
Score d'incertitude au seuil0,657

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
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 Opus0,015
Tête enseignante GPT0,276
Écart entre enseignants0,261 · 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'étudeSans objet
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

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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