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Enregistrement W4210489521 · doi:10.2196/preprints.36949

Development of an online system navigation database to support equitable access to assistive technology in Canada: A usability evaluation study (Preprint)

2022· preprint· en· W4210489521 sur OpenAlexaboutno aff
Tamika Jarvis, Allison M L Mah, Rosalie H. Wang, Michael G. Wilson

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineHealth Professions
ThématiqueAssistive Technology in Communication and Mobility
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésUsabilityThematic analysisWorld Wide WebComputer scienceWeb usabilityPreprintQualitative researchInternet privacyKnowledge managementHuman–computer interaction

Résumé

récupéré en direct d'OpenAlex

<sec> <title>BACKGROUND</title> Assistive technology (AT) can contribute to how individuals participate and engage in their everyday activities, such as in communication and mobility, and facilitates access to services they require. In Canada, there are over 220 government and charitable-organization programs that provide funding and services to AT across Canada; however, navigating the system that has been described as fragmented and complex results in inequitable access for those who need AT. The AccessATCanada website was developed as a centralized online resource to address challenges with access to AT, by providing information about existing jurisdictional AT funding programs and services across Canada. </sec> <sec> <title>OBJECTIVE</title> The study’s objectives were to evaluate and enhance usability of the AccessATCanada website by gathering feedback about its features and functionality from potential users, and present key usability themes. </sec> <sec> <title>METHODS</title> A mixed-methods usability testing study was conducted with a purposive sample of participants to measure effectiveness, efficiency, and user satisfaction, and to identify issues with the interface during user interaction. A qualitative thematic analysis of the usability testing sessions and semi-structured interviews were used to generate qualitative insights and core themes. User feedback was used to inform subsequent updates of the database with the goal of enhancing website friendliness and functionality prior to its official launch. </sec> <sec> <title>RESULTS</title> A total of 10 participants were included in the study with two rounds of usability testing. Overall, the majority of the tasks were able to be completed successfully by participants and demonstrated few issues with website effectiveness or user efficiency. The website received an overall System Usability Score 62.22, ranked as ‘OK/fair to good’. Common themes regarding strengths and areas for improvement were revealed during qualitative analysis. The strengths of the website were noted as ease of navigation and value for users such as health care professionals new to the field of AT. Core themes related to usability challenges were related to presentation, functionality, and language. The majority of identified challenges were reported as minor and included issues such as colour and size of text, the functionality of the filters, and terms that were not in lay language. </sec> <sec> <title>CONCLUSIONS</title> This study highlights the value of usability testing, and elements that are key in the creation of user-centered resources. The creation and development of a centralized, user-friendly resource, AccessATCanada, fills a gap that expands the reach of AT programs and services across Canada, assists with navigating the current complex funding systems, and helps to improve equity of funding access. </sec>

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)0,011
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Science ouverte, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,335
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0110,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0030,018
Intégrité de la recherche0,0000,002
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 Opus0,266
Tête enseignante GPT0,514
Écart entre enseignants0,248 · 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 ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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