Older adults’ use of mobile device: usability challenges while navigating various interfaces

Li, Qingchuan; Luximon, Yan

doi:10.1080/0144929x.2019.1622786

Cited by 53 publications

(30 citation statements)

References 78 publications

(98 reference statements)

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“…" ii. Navigation issues: The choice of navigation components or controls within an app can affect ease of use [37], [38]. In other words, users with decreased cognitive capabilities will find it difficult to identify which controls (such as menus or buttons) will take them to the desired location.…”

Section: ) Usability Issuesmentioning

confidence: 99%

Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews

2020

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The proliferation of smartphones has led to an increase in mobile health (mHealth) apps over the years. Thus, it is imperative to evaluate these apps by identifying shortcomings or barriers hampering effective delivery of intended services. In this paper, we evaluate 104 mental health apps on Google Play and App Store by performing sentiment analysis of 88125 user reviews using machine learning (ML), and then conducting thematic analysis on the reviews. We implement and compare the performance of five classifiers using supervised ML algorithms that are widely used for solving classification problems. The best performing classifier, with F1-score of 89.42%, was then used in predicting the sentiment polarity of reviews. Next, we conduct a thematic analysis of positive and negative reviews to identify themes representing various factors affecting the effectiveness of mental health apps positively and negatively. Our results uncover 21 negative themes and 29 positive themes. The negative themes fall under the following categories: usability issues, content issues, ethical issues, customer support issues, and billing issues. Some of the positive themes include aesthetically pleasing interface, app stability, customizability, high-quality content, content variation/diversity, personalized content, privacy and security, and low-subscription cost. Finally, we offer design recommendations on how the identified negative factors can be tackled to improve the effectiveness of mental health apps.

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Section: ) Usability Issuesmentioning

confidence: 99%

Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews

2020

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“…However, our study identified desirability should be considered before usability for engaging older adults. Whereas usability influence user’s ability to complete a task [ 61 ], desirability means they have a pleasurable and engaging experience while using the system. Initial Engagement will increase when older adults have specific reasons or motivation to use interactive technology for having fun and engaging experiences.…”

Section: New Initial Engagement Values Emerging From Our Case Studmentioning

confidence: 99%

Factors Affecting the Initial Engagement of Older Adults in the Use of Interactive Technology

Lee

Maher

2021

IJERPH

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Smart environments and the use of interactive technology has the potential to improve the quality of life for the senior community as well as to support the connections among the senior community and the world outside their community. In addition to the increasing number of studies in the field of aging and technologies, research is needed to understand the practical issues of user focus, adoption, and engagement for older adults to accept interactive technologies in their lives. In this study, we use two commercial technological interventions (uDraw and GrandPad) to understand technology-related perceptions and behaviors of older adults. We present five case studies that emerge from empirical observations of initial engagement with technology through research methods such as focus group discussions, in-depth interviews, observations, and diary studies. The contributions of this study are identification of the key factors that influence the initial engagement with interactive technology for older adults.

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“…Use a one-level (flat) structure due to the difficulty of understanding hierarchical menus [41][42] [43].…”

Section: Menusmentioning

confidence: 99%

“…Use meaningful icons and symbols [15]. Display all menu items at once instead of requiring an additional action to explore more items [43]. Use borders and spaces to illustrate the different items in the interface [15][40].…”

Section: Perceptionmentioning

confidence: 99%

Grounded Theory for the Design of Mobile User Interfaces-Based on Space Retrieval Therapy

Aljedaani¹,

Alnanih²

2021

Int. J. Interact. Mob. Technol.

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<span lang="EN-US">Technology plays a major role in our daily lives. In healthcare, technology assists in treating and detecting diseases and can improve patients’ quality of life. Alzheimer’s disease patients are generally elderly people who suffer from disabilities in vision, hearing, speech, and movement. The disease is one of the most common types of dementia. This paper proposes a design for a mobile application with an adaptive user interface for Alzheimer’s patients based on an elderly model developed using grounded theory. The application aims to improve the patients’ quality of life and allow them to remain engaged in society. The design of the application is based on spaced retrieval therapy (SRT), a method that helps Alzheimer’s patients to recall specific pieces of important information. User-centered design method was used to design and build this application. In the requirements phase, a user model for elderly people was elicited based on a classification developed through grounded theory. The prototype for the proposed model was designed and developed considering the default user interfaces and the adaptive user interfaces. A test was conducted with 15 elderly Arab users. The participants were 50–74 years old with varying levels of education and experience with technology. The authors proposed a user model for elderly people containing all the design implications in terms of physical and cognitive changes. The results of testing with elderly Arab users supported the proposed user model in terms of colors, fonts, pictures, and symbols. However, there were problems with the menu design and color preferences.</span>

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Older adults’ use of mobile device: usability challenges while navigating various interfaces

Cited by 53 publications

References 78 publications

Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews

Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews

Factors Affecting the Initial Engagement of Older Adults in the Use of Interactive Technology

Grounded Theory for the Design of Mobile User Interfaces-Based on Space Retrieval Therapy

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