This study aimed to determine the methodological quality of user-centered usability evaluation of Ambient Assisted Living (AAL) solutions by (i) identifying the characteristics of the AAL studies reporting on user-centered usability evaluation, (ii) systematizing the methods, procedures and instruments being used, and (iii) verifying if there is evidence of a common understanding on methods, procedures, and instruments for user-centered usability evaluation. An electronic search was conducted on Web of Science, Scopus, and IEEE Xplore databases, combining relevant keywords. Then, titles and abstracts were screened against inclusion and exclusion criteria, and the full texts of the eligible studies were retrieved and screened for inclusion. A total of 44 studies were included. The results show a great heterogeneity of methods, procedures, and instruments to evaluate the usability of AAL solutions and, in general, the researchers fail to consider and report relevant methodological aspects. Guidelines and instruments to assess the quality of the studies might help improving the experimental design and reporting of studies on user-centered usability evaluation of AAL solutions.
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http://dx.doi.org/10.3390/ijerph182111507 | DOI Listing |
Alzheimers Dement
December 2024
Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) Rostock/Greifswald, Rostock, Germany.
Background: Using artificial intelligence approaches enable automated assessment and analysis of speech biomarkers for Alzheimer's disease, for example using chatbot technology. However, current chatbots often are unsuitable for people with cognitive impairment. Here, we implemented a user-centred-design approach to evaluate and improve usability of a chatbot system for automated speech assessments for people with preclinical, prodromal and early dementia.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
IPSIBAT (CONICET/National University of Mar del Plata), Mar del Plata, Buenos Aires, Argentina.
Background: Advances in the development of e-health applications enhance the availability of preventive tools and the adherence to certain treatments in old age (Roberts et al., 2015; Granath et al., 2023).
View Article and Find Full Text PDFJMIR Form Res
January 2025
Big Data Convergence and Open Sharing System, Seoul National University, Seoul, Republic of Korea.
Background: The rapid proliferation of artificial intelligence (AI) requires new approaches for human-AI interfaces that are different from classic human-computer interfaces. In developing a system that is conducive to the analysis and use of health big data (HBD), reflecting the empirical characteristics of users who have performed HBD analysis is the most crucial aspect to consider. Recently, human-centered design methodology, a field of user-centered design, has been expanded and is used not only to develop types of products but also technologies and services.
View Article and Find Full Text PDFComput Inform Nurs
November 2024
Author Affiliations: Sinclair School of Nursing, University of Missouri, Columbia, MO.
Dashboards display hospital quality and patient safety measures aimed to improve patient outcomes. Although literature establishes dashboards aid quality and performance improvement initiatives, research is limited from the frontline nurse manager's perspective. This study characterizes factors influencing hospital nurse managers' use of dashboards for unit-level quality and performance improvement with suggestions for dashboard design.
View Article and Find Full Text PDFHealth Educ Behav
January 2025
University of California, Los Angeles, Los Angeles, CA, USA.
Mobile phone interventions are evidence-based methods for preventing obesity among Latino adults and school-aged children; however, few such interventions exist to improve the obesogenic behaviors of children in the developmentally critical preschool years (ages 2-5). Focusing on this age group is important since over one-quarter of 2- to 5-year-old Latino children are overweight or obese. Moreover, most documented interventions target mothers exclusively, ignoring the influence that other caregivers such as fathers and grandparents have on the environment and the child's behaviors.
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