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Record W4415732577 · doi:10.2196/75805

User-Centered Formative Evaluation of Cognitive Rehabilitation Software: Cognitive Walkthrough and System Usability Scale Study

2025· article· en· W4415732577 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldComputer Science
TopicUsability and User Interface Design
Canadian institutionsnot available
Fundersnot available
KeywordsFormative assessmentUsabilityCognitive walkthroughSoftware walkthroughCognitionRehabilitationSystem usability scaleHeuristic evaluationScale (ratio)

Abstract

fetched live from OpenAlex

BACKGROUND: The usability of software as a medical device plays a critical role in ensuring patient safety, clinical effectiveness, and treatment adherence. Particularly in tablet-based cognitive rehabilitation software, poor usability can increase the risk of user errors, cognitive overload, and low engagement, which may diminish therapeutic outcomes. Despite the growing integration of cognitive rehabilitation software in clinical settings, few studies have systematically evaluated its usability using structured human factor methodologies. OBJECTIVE: This study aimed to conduct a formative evaluation of a tablet-based cognitive rehabilitation software by identifying potential user errors, interface design issues, and opportunities for improving the user experience and user interface (UI). METHODS: Following the International Electrotechnical Commission (IEC) 62366-1 framework for usability engineering, a formative evaluation was conducted using a combination of cognitive walkthrough (CW) and the System Usability Scale (SUS). CW was used to identify interaction breakdowns and potential use-related problems through scenario-based expert evaluation. The SUS was administered to quantitatively assess perceived usability. Five occupational therapists with experience in cognitive rehabilitation participated in the formative evaluation. RESULTS: A total of 14 usability issues were identified across 6 task scenarios. Common problems included difficulty locating buttons, insufficient feedback during task completion, and inconsistent UI behavior. Key improvement areas included keypad layout, visibility of task progress, and accessibility of help content. The mean SUS score was 73.5 (SD 11.4), indicating an acceptable usability level (grade of B-). The lowest scores were related to system complexity and interface integration, suggesting a need to optimize UI flow and content hierarchy. CONCLUSIONS: The combined use of CW and the SUS enabled the identification of both objective and perceived usability challenges in the cognitive rehabilitation software. Findings emphasize the importance of user-centered design and formative evaluation in the early stages of software development. Recommendations such as improving information visibility, reducing unnecessary steps, and enhancing system feedback may contribute to safer and more effective digital cognitive interventions. However, given the small and homogeneous participant sample and the controlled test environment, these findings should be interpreted as preliminary. This study highlights the practical application of the IEC 62366-1 framework in evaluating software as a medical device and demonstrates its utility in guiding iterative user experience and UI improvements in cognitive rehabilitation contexts.

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.

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)0.012
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.089
GPT teacher head0.432
Teacher spread0.343 · 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