Procedures of User-Centered Usability Assessment for Digital Solutions: Scoping Review of Reviews Reporting on Digital Solutions Relevant for Older Adults
Notice bibliographique
Résumé
BACKGROUND: The assessment of usability is a complex process that involves several steps and procedures. It is important to standardize the evaluation and reporting of usability procedures across studies to guide researchers, facilitate comparisons across studies, and promote high-quality usability studies. The first step to standardizing is to have an overview of how usability study procedures are reported across the literature. OBJECTIVE: This scoping review of reviews aims to synthesize the procedures reported for the different steps of the process of conducting a user-centered usability assessment of digital solutions relevant for older adults and to identify potential gaps in the present reporting of procedures. The secondary aim is to identify any principles or frameworks guiding this assessment in view of a standardized approach. METHODS: This is a scoping review of reviews. A 5-stage scoping review methodology was used to identify and describe relevant literature published between 2009 and 2020 as follows: identify the research question, identify relevant studies, select studies for review, chart data from selected literature, and summarize and report results. The research was conducted on 5 electronic databases: PubMed, ACM Digital Library, IEEE, Scopus, and Web of Science. Reviews that met the inclusion criteria (reporting on user-centered usability evaluation procedures for any digital solution that could be relevant for older adults and were published in English) were identified, and data were extracted for further analysis regarding study evaluators, study participants, methods and techniques, tasks, and test environment. RESULTS: A total of 3958 articles were identified. After a detailed screening, 20 reviews matched the eligibility criteria. The characteristics of the study evaluators and participants and task procedures were only briefly and differently reported. The methods and techniques used for the assessment of usability are the topics that were most commonly and comprehensively reported in the reviews, whereas the test environment was seldom and poorly characterized. CONCLUSIONS: A lack of a detailed description of several steps of the process of assessing usability and no evidence on good practices of performing it suggests that there is a need for a consensus framework on the assessment of user-centered usability evaluation. Such a consensus would inform researchers and allow standardization of procedures, which are likely to result in improved study quality and reporting, increased sensitivity of the usability assessment, and improved comparability across studies and digital solutions. Our findings also highlight the need to investigate whether different ways of assessing usability are more sensitive than others. These findings need to be considered in light of review limitations.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».