Usability Evaluations of a Newly Developed Wearable Inertial Sensing System for Assessing Elderly Fall Risk

Rehman, Rana Zia Ur; Jang, Jihyeok; Xiong, Shuping

doi:10.1007/978-3-319-94484-5_44

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…); functionality (app functioning, easy to learn, navigation, flow logic, and gestural design); esthetics (graphic design, visual appeal, color scheme, and stylistic consistency); information (contains high-quality information from a credible source); and app subjective quality (would you recommend, use, and pay for the app). MARS has been utilized in previous HFE studies (e.g., Rehman et al, 2019;Woods et al, 2019), and it has been argued that each of MARS's five dimensions include some elements of human factors (Krupinski, 2019).…”

Section: App Quality Reviewmentioning

confidence: 99%

Investigating Popular Mental Health Mobile Application Downloads and Activity During the COVID-19 Pandemic

2021

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Objective This article analyzes the changes in downloads and activity of users of select popular mental health mobile applications (mHealth apps) during coronavirus disease 2019 (COVID-19). Background The outbreak of the COVID-19 crisis has shown a negative impact on public mental health. Mobile health has the potential to help address the psychological needs of existing and new patients during the pandemic and beyond. Method Downloads data of 16 widely used apps were analyzed. The quality of apps was reviewed using the Mobile Application Rating Scale (MARS) framework. Correlation analysis was conducted to investigate the relationship between app quality and app popularity. Results Among the 16 apps, 10 were meditational in nature, 13 showed increased downloads, with 11 apps showing above 10% increase in the downloads after the pandemic started. The popular apps were satisfactory in terms of functionality and esthetics but lacked clinical grounding and evidence base. There exists a gap between app quality and app popularity. Conclusion This study provided evidence for increased downloads of mental mHealth apps (primarily meditation apps) during the COVID-19 pandemic but revealed several gaps and opportunities to address deficiencies in evidence-based design, usability and effective assessment, and integration into current workflows. Application The COVID-19 pandemic is a potential turning point for mHealth applications for mental health care. Whereas the evidence suggests a need for alternative delivery of care, human factors and ergonomics methods should be utilized to ensure these tools are user-centered, easy to use, evidence-based, well-integrated with professional care, and used sustainably.

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Section: App Quality Reviewmentioning

confidence: 99%

Investigating Popular Mental Health Mobile Application Downloads and Activity During the COVID-19 Pandemic

2021

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The most used questionnaires for evaluating the usability of robots and smart wearables: A scoping review

Moulaei,

Bahaadinbeigy

2024

DIGITAL HEALTH

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Background As the field of robotics and smart wearables continues to advance rapidly, the evaluation of their usability becomes paramount. Researchers may encounter difficulty in finding a suitable questionnaire for evaluating the usability of robotics and smart wearables. Therefore, the aim of this study is to identify the most commonly utilized questionnaires for assessing the usability of robots and smart wearables. Methods A comprehensive search of databases, including PubMed, Web of Science, and Scopus, was conducted for this scoping review. Two authors performed the selection of articles and data extraction using a 10-field data extraction form. In cases of disagreements, a third author was consulted to reach a consensus. The inclusions were English-language original research articles that utilized validated questionnaires to assess the usability of healthcare robots and smart wearables. The exclusions comprised review articles, non-English publications, studies not focused on usability, those assessing clinical outcomes, articles lacking questionnaire details, and those using non-validated or researcher-made questionnaires. Descriptive statistics methods (frequency and percentage), were employed to analyze the data. Results A total of 314 articles were obtained, and after eliminating irrelevant and duplicate articles, a final selection of 50 articles was included in this review. A total of 17 questionnaires were identified to evaluate the usability of robots and smart wearables, with 10 questionnaires specifically for wearables and 7 questionnaires for robots. The System Usability Scale (50%) and Post-Study System Usability Questionnaire (19.44%) were the predominant questionnaires utilized to assess the usability of smart wearables. Moreover, the most commonly used questionnaires for evaluating the usability of robots were the System Usability Scale (56.66%), User Experience Questionnaire (16.66%), and Quebec User Evaluation of Satisfaction with Assistive Technology (10%). Conclusion Commonly employed questionnaires serve as valuable tools in assessing the usability of robots and smart wearables, aiding in the refinement and optimization of these technologies for enhanced user experiences. By incorporating user feedback and insights, designers can strive towards creating more intuitive and effective robotic and wearable solutions.

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Usability Evaluations of a Newly Developed Wearable Inertial Sensing System for Assessing Elderly Fall Risk

Cited by 2 publications

References 37 publications

Investigating Popular Mental Health Mobile Application Downloads and Activity During the COVID-19 Pandemic

Investigating Popular Mental Health Mobile Application Downloads and Activity During the COVID-19 Pandemic

The most used questionnaires for evaluating the usability of robots and smart wearables: A scoping review

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