The development of a mobile user interface ability evaluation system for the elderly

Lin, Chiuhsiang Joe; Ho, Shu-Chuan

doi:10.1016/j.apergo.2020.103215

Cited by 16 publications

(4 citation statements)

References 52 publications

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“…Some commonly used techniques include simplifying operations, increasing the inclusion of user errors, providing instructions, and optimizing the user interface. At the same time, health app developers should apply user-centered design while developing health apps for disadvantaged populations ( 13 , 44 , 55 ), such as providing easier-to-read user interfaces for older users and providing speech interaction for visually challenged users.…”

Section: Discussionmentioning

confidence: 99%

A discrete choice experiment to examine the factors influencing consumers’ willingness to purchase health apps

Xie¹,

Liu²,

Or³

2023

mHealth

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Background The benefits of health apps can only be realized when consumers purchase them for use. Thus, it is important to understand what factors influence consumers’ willingness to purchase health apps. Therefore, this study aimed to examine the influence of health app attributes and sociodemographic characteristics on consumers’ willingness to purchase health apps, and how the value of the health app attributes varies for individuals with different sociodemographic characteristics. Methods A questionnaire-based discrete choice experiment (DCE) was conducted with a random sample of 561 adults. A standard logit regression was applied to assess the influence of health app attributes and sociodemographic characteristics on consumers’ willingness to purchase health apps, and marginal willingness to pay (MWTP) was calculated for each factor using regression coefficients. Interaction effects were also examined to determine how the value of health app attributes varies by sociodemographic characteristics. Results Usefulness, ease of use, security and privacy, and attitudes of healthcare professionals toward consumers’ use of health apps were the attributes of health apps that positively influenced consumers’ willingness to purchase them. Conversely, smartphone storage consumption, mobile Internet data consumption, and app price negatively influenced consumers’ willingness to purchase the apps. For sociodemographic characteristics, being male, having a household size greater than three, having a monthly household income of HK$30,000 or more, having a lower education level (below diploma), having previously used health apps, and having previously purchased health apps were associated with a higher willingness to purchase health apps. Conclusions Health app attributes that influenced consumers’ willingness to purchase the apps and populations that were less willing to purchase health apps were identified. Efforts should be made to improve health app attributes and enhance the promotion of health apps among these underserved populations.

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Section: Discussionmentioning

confidence: 99%

A discrete choice experiment to examine the factors influencing consumers’ willingness to purchase health apps

Xie¹,

Liu²,

Or³

2023

mHealth

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“… 50–70 years old. Healthcare-Well Being [ 59 ] 2020 The development of a mobile user interface ability evaluation system for the elderly. 50–59, 60–69, 70–79 and > 80 years old.…”

Section: Mobile Learning Towards the Middle-aged Adultsmentioning

confidence: 99%

Mobile learning: research context, methodologies and future works towards middle-aged adults – a systematic literature review

Mohtar

Jomhari

Mustafa

et al. 2022

Multimed Tools Appl

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Over the past several years, mobile learning concepts have changed the way people perceived on mobile devices and technology in the learning environment. In earlier days, mobile devices were used mainly for communication purposes. Later, with many new advanced features of mobile devices, they have opened the opportunity for individuals to use them as mediated technology in learning. The traditional way of teaching and learning has shifted into a new learning dimension, where an individual can execute learning and teaching everywhere and anytime. Mobile learning has encouraged lifelong learning, in which everyone can have the opportunity to use mobile learning applications to gain knowledge. However, many of the previous studies on mobile learning have focused on the young and older adults, and less intention on middle-aged adults. In this research, it is targeted for the middle-aged adults which are described as those who are between the ages of 40 to 60. Middle-aged adults typically lead very active lives while at the same time are also very engaged in self-development programs aimed at enhancing their spiritual, emotional, and physical well-being. In this paper, we investigate the methodology used by researchers based on the research context namely, acceptance, adoption, effectiveness, impact, intention of use, readiness, and usability of mobile learning. The research context was coded to the identified methodologies found in the literature. This will help one to understand how mobile learning can be effectively implemented for middle-aged adults in future work. A systematic review was performed using EBSCO Discovery Service, Science Direct, Google Scholar, Scopus, IEEE and ACM databases to identify articles related to mobile learning adoption. A total of 65 journal articles were selected from the years 2016 to 2021 based on Kitchenham systematic review methodology. The result shows there is a need to strengthen research in the field of mobile learning with middle-aged adults.

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“…Touch screen control, video control, and voice control are the three most common human-computer interaction methods in smart homes, and as the declining physical functions of older people have an impact on human-computer interaction, there is a need to design mobile application interfaces that match the behavioral abilities of older people (Tsai et al, 2017 ; Hou et al, 2020 ; Lin and Ho, 2020 ; Chi and Kang, 2022 ). With the current increased popularity of mobile phones with large screens, designers must design for the interaction of tapping the screen to achieve a balance between interactivity, usability, and user experience (Yanli et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

The impact of different age-friendly smart home interface styles on the interaction behavior of elderly users

Zhou

Qian²,

Huang³

et al. 2022

Front. Psychol.

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Smart homes create a beneficial environment for the lives of elderly people and enhance the quality of their home lives. This study aims to explore the design of age-friendly interfaces that can meet the emotional needs of self-care elderly people from the perspective of functional realization of the operating interface. Sixteen elderly users aged fifty-five and above were selected as subjects with healthy eyes and no excessive drooping eyelids to obscure them. Four representative age-friendly applications with different interface designs were selected from the Android application market as the stimulus material for the experiment, and a total of fifteen pages were browsed independently. During the experiment, the ErgoLAB human-computer environment synchronization cloud platform was used to monitor and record the subjects' multidimensional physiological indicators of eye movements, skin electricity, and heart rate variability when using different styles of mobile application interfaces. Combined with the post-experimental PAD emotion scale data, the preferences of emotional interface design elements of the self-care elderly were analyzed to guide the subsequent design practice. The results show that: on the layout characteristics of the home page, a simple and intuitive multi-column layout or card layout combined with a bottom navigation bar type main navigation is used; on the choice of the main color, a single color with low saturation is used as the main color, with high saturation color accents to play a role in highlighting key information; on the information density of the home page, a moderate proportion of graphics and text is adopted, with low information density; on the arrangement of the page content, they try to give priority to information content with high user relevance.

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The development of a mobile user interface ability evaluation system for the elderly

Cited by 16 publications

References 52 publications

A discrete choice experiment to examine the factors influencing consumers’ willingness to purchase health apps

A discrete choice experiment to examine the factors influencing consumers’ willingness to purchase health apps

Mobile learning: research context, methodologies and future works towards middle-aged adults – a systematic literature review

The impact of different age-friendly smart home interface styles on the interaction behavior of elderly users

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