Preliminary Findings of a User Centered Design Study of Mobile Health Technology for Ghanaian Migrant Families

2020 ◽  
pp. 87-96
Author(s):  
E. Owusu ◽  
J. Chakraborty
2020 ◽  
Author(s):  
Kuntal Chowdhary ◽  
Daihua Xie Yu ◽  
Gede Pramana ◽  
Andrea Fairman ◽  
Brad Edward Dicianno ◽  
...  

BACKGROUND Mobile health (mHealth) systems have been shown to be useful in supporting self-management by promoting adherence to schedules and longitudinal health interventions, especially in people with disabilities (PwD). The Interactive Mobile Health and Rehabilitation (iMHere) System was developed to empower PwD and those with chronic conditions with supports needed for self-management and independent living. Since the first iteration of the iMHere 1.0 app, several studies have evaluated accessibility and usability of the system. Potential opportunities to improve and simplify the user interface (UI) were identified, and the iMHere modules were redesigned accordingly. OBJECTIVE The aim of this study was to evaluate the usability of the redesigned modules within iMHere 1.0. METHODS This study evaluated the original and redesigned MyMeds and SkinCare modules. To assess the participants’ dexterity levels, the Purdue Pegboard Test (PPBT) was administered. Participants were then asked to perform a set of tasks using both the original and redesigned MyMeds and SkinCare modules to assess efficiency and effectiveness. Usability was measured using the Telehealth Usability Questionnaire (TUQ) to evaluate 10 new accessibility features that were added to the redesigned app. Participants were also asked which version they preferred. RESULTS Twenty-four participants with disabilities and varied degrees of dexterity impairments completed the entire study protocol. Participants displayed improved efficiency and effectiveness of use when using the redesigned modules, as compared to the original modules. Participants also reported improved usability and preferred the redesigned modules. CONCLUSIONS This study demonstrated that the iMHere System became more efficient, effective, and usable for individuals with dexterity impairments after redesigning it according to user-centered principles.


Author(s):  
Karola V. Kreitmair ◽  
Mildred K. Cho

Wearable and mobile health technology is becoming increasingly pervasive, both in professional healthcare settings and with individual consumers. This chapter delineates the various functionalities of this technology and identifies its different purposes. It then addresses the ethical challenges that this pervasiveness poses in the areas of accuracy and reliability of the technology, privacy and confidentiality of data, consent, and the democratization of healthcare. It also looks at mobile mental health apps as a case study to elucidate the discussion of ethical issues. Finally, the chapter turns to the question of how this technology and the associated “quantification of the self” affect traditional modes of epistemic access to and phenomenological conceptions of the self.


Author(s):  
Bradley M. Davis ◽  
Samineh C. Gillmore ◽  
Derek Millard

Several methodologies in user centered research lead to the collection of large amounts of comments about a product or system. The growth of social media research has led to the development of sentiment analysis algorithms that computationally analyze the meaning of text. This paper utilized the Valence Aware Dictionary for sEntiment Reasoning (VADER) sentiment analysis technique to assess comments from a user centered design study for a rotorcraft degraded visual environment mitigation system. The sentiment analysis findings mirror results from the other measures of the user centered design study. This paper supports the use of sentiment analysis for large volumes of comment data from user centered design studies.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Nikhil Panda ◽  
Robert Sinyard ◽  
Judy Margo ◽  
Natalie Henrich ◽  
Christy E. Cauley ◽  
...  

2018 ◽  
Vol 22 (10) ◽  
pp. 3373-3383 ◽  
Author(s):  
Rebecca Schnall ◽  
Hwayoung Cho ◽  
Alexander Mangone ◽  
Adrienne Pichon ◽  
Haomiao Jia

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