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Record 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 on OpenAlexaboutno aff
Tamika Jarvis, Allison M L Mah, Rosalie H. Wang, Michael G. Wilson

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsnot available
Fundersnot available
KeywordsUsabilityThematic analysisWorld Wide WebComputer scienceWeb usabilityPreprintQualitative researchInternet privacyKnowledge managementHuman–computer interaction

Abstract

fetched live from 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>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0030.018
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.266
GPT teacher head0.514
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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