The reasons why elderly mobile users adopt ubiquitous mobile social service

Understanding the influencing factors and mechanism of social compensation for Chinese older adults using social media in the context of smart home: a qualitative analysis

As a new generation of necessary terminals for future homes, smart homes have become one of the essential mediums for smart aging at home. This paper aims to explore how older adults who age at home can overcome the digital divide of the new medium and achieve social participation in the home context to realize active aging. Based on the theory of social compensation, we select the smart-home smart screen, a representative new medium product in China, and carry out open coding, spindle coding, selective coding, and theoretical construction of the original interview data through the grounded theory research method. The results show that the main factors affecting the social compensation of older adults to smart home social media include user interface quality, interaction quality, content quality, and service quality, and these four factors are used as external variables to compensate older adults socially, thereby stimulating the emotional experience and perception changes at the cognitive level of older adults and then affecting the adoption and acceptance of smart home social media by older adults. This study refines the factors influencing the older adults' use of smart home social media from the perspective of social compensation. It explains the mechanism of acceptable behavior of older adults, bridging the gap in previous literature on the influencing factors and behavioral mechanisms of older adults of smart home social media. This paper provides a theoretical basis and guidance for the subsequent academic research and software development practice of social media under new technological devices to further help older adults in China achieve active and healthy aging.

Factors influencing technology use among low-income older adults: A systematic review

As the world's aging population increases, leveraging technology to support aging is proving advantageous. Notably, technology adoption studies among older adults have received increasing scholarly attention, but findings from these studies do not reflect the context of low-income older adults. Studies focusing on low-income older adults were relatively few and it remains unclear which factors influence this group's technology use. This systematic review aims to synthesize findings on factors influencing technology use among low-income older adults to provide directions and opportunities for future research in information systems. Observing the literature through the lens of Social Cognitive Theory, we identified avenues for future research and further integrated the framework with Maslow's hierarchy of needs to elucidate the phenomenon. Findings from this systematic review suggest that both personal and environmental factors, such as cognitions, affects, sociodemographic characteristics, technological and social environment are significant predictors of technology use among low-income older adults. Specifically, factors related to accessibility and affordability, such as income, perceived cost, and accessibility to technology are salient in a resource-limited setting. More importantly, the technology usage behavior elucidate the embeddedness of fundamental human needs which plays a central role underlying technology use among this segment. However, more research is needed to understand the interaction between person, environment and behavior determinant shaping technology use among low-income older adults from diverse economic and cultural setting. This study also sheds light on disciplinary gaps and the lack of investigations anchored on theoretical foundations, and suggests avenues for future research and implications for practice.

Meaningful learning: motivations of older adults in serious games

Social sustainability is the generation of significant behaviors through balanced levels of education, learning and awareness so that the population has a good standard of living, achieves self-improvement and supports society. This can be achieved with various strategies, one of which is learning through games, which has gained popularity in recent years due to positive results. This is effectively achieved through serious gaming, which is growing steadily, mostly in education and healthcare. This type of strategy has been typically used in young populations with a transparent interaction with technological processes that facilitate its application. However, one cannot neglect other populations such as the elderly, who may experience a technology gap and may not perceive this type of initiative in the best light. The purpose of this article is to identify the different motivations that can encourage older adults to use serious games to encourage learning processes through technology. For this purpose, different previous research on gaming experiences with older adults has been identified, from which it was possible to categorize a series of factors that motivate this population. Subsequently, we represented these factors by means of a model of motivation for the elderly and, to be able to use it, we have defined a set of heuristics based on this model. Finally, we used the heuristics by means of a questionnaire to evaluate the design of serious gaming for older adults, obtaining positive results for the use of these elements to guide the design and construction of serious games for learning in older adults.

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

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.

What influences user participation in an online health community? The stimulus-organism-response model perspective

Purpose

The purpose of this paper is to understand the effect of platform characteristics (i.e. media richness and interactivity) on individual perception (i.e. outcome expectations) and consequent behavioral response (i.e. user participation in online health communities (OHCs)) based on the stimulus-organism-response (S-O-R) model.

Design/methodology/approach

This study developed a research model to test the proposed hypotheses, and the proposed model was tested using partial least squares structural equation modeling (PLS-SEM) for which data were collected from 321 users with OHC experience using an online survey.

Findings

The empirical results show the following: (1) the three dimensions of media richness significantly affect the three outcome expectations, except that richness of expression has no significant effect on the outcome expectation of health self-management competence. (2) Human-to-human interaction significantly affects the three outcome expectations. Moreover, compared with human-to-human interaction, human-to-system interaction has a stronger impact on the outcome expectation of health self-management competence. (3) The three outcome expectations have a significant influence on user participation in OHCs.

Originality/value

This study extends the understanding about how platform characteristics (i.e. media richness and interactivity) motivate user participation in the context of OHCs. Drawing on the S-O-R model, this study reveals the underlying mechanisms by which media richness and interactivity are associated with outcome expectations and by which outcome expectations is associated with user participation in OHCs. This study enriches the literature on media richness, interactivity, outcome expectations and user participation in OHCs, providing insights for developers and administrators of OHCs.

Empirical Study of Virtual Reality to Promote Intergenerational Communication: Taiwan Traditional Glove Puppetry as Example

Based on glove puppetry, a traditional cultural pursuit of Taiwan, this study designed a virtual reality (VR) intergenerational game to bring together the elderly and young participants. In the game, a system of cooperation and sharing was constructed which would lead to an exchange between experience and knowledge of traditional culture and digital technology and result in intergenerational interaction and communication learning. Through interviews with eight subjects after the empirical study, this study explored the operation and experience of this game, the perception of interaction and dialogue, and the cultural heritage and learning. According to the research findings, VR game cultural elements and technology learning positively influence intergenerational relations and communication. Key factors of VR intergenerational games include the following: (1) the game content must be attractive for the elderly; (2) the operating procedure of the game and affordance of the interface for the elderly must be simplified; and (3) the game must establish a sense of achievement for players.

Unconscious or conscious? The impacts of habit and social support receipt on older adults' continued participation in online health communities

Purpose

Online health communities (OHCs) can be complementary to healthcare systems to improve the health behaviors of older adults with chronic diseases. This study aims to examine the impacts of habit and social support receipt on older adults' continued participation in OHCs. Particularly, the authors discussed the influences of social support received in two ways: social support received by initiating threads (direct social support receipt) and social support received by being exposed to the threads initiated by others (indirect social support receipt).

Design/methodology/approach

Based on the dual-process model (i.e. conscious process and unconscious process), the authors developed the research model. Data from one of the biggest online diabetes communities in Europe were collected. Besides, we used the support vector machine algorithm for social support classification and used the Cox proportion hazards model for model validation.

Findings

Older adults' continued participation is influenced by habit and indirect informational support. Habit moderates the relationship between direct informational support receipt and older adults' continued participation. Furthermore, direct and indirect emotional support receipt are both not associated with older adults' continued participation, regardless of their habit strength.

Originality/value

This is the first study investigating older adults' continued participation in OHCs based on the dual-process model. The findings of this study reveal that older adults' continued participation is determined by both the habit and specific conscious evaluation of benefits based on the social support receipt.

COVID-19 smart surveillance: Examination of Knowledge of Apps and mobile thermometer detectors (MTDs) in a high-risk society

BACKGROUND

Technological innovations gained momentum and supported COVID-19 intelligence surveillance among high-risk populations globally. We examined technology surveillance using mobile thermometer detectors (MTDs), knowledge of App, and self-efficacy as a means of sensing body temperature as a measure of COVID-19 risk mitigation. In a cross-sectional survey, we explored COVID-19 risk mitigation, mobile temperature detectable by network syndromic surveillance mobility, detachable from clinicians, and laboratory diagnoses to elucidate the magnitude of community monitoring.

MATERIALS AND METHODS

In a cross-sectional survey, we create in-depth comprehension of risk mitigation, mobile temperature Thermometer detector, and other variables for surveillance and monitoring among 850 university students and healthcare workers. An applied structural equation model was adopted for analysis with Amos v.24. We established that mobile usability knowledge of APP could effectively aid in COVID-19 intelligence risk mitigation. Moreover, both self-efficacy and mobile temperature positively strengthened data visualization for public health decision-making.

RESULTS

The algorithms utilize a validated point-of-center test to ascertain the HealthCode scanning system for a positive or negative COVID-19 notification. The MTD is an alternative personal self-testing procedure used to verify temperature rates based on previous SARS-CoV-2 and future mobility digital health. Personal self-care of MTD mobility and knowledge of mHealth apps can specifically manage COVID-19 mitigation in high or low terrestrial areas. We found mobile usability, mobile self-efficacy, and app knowledge were statistically significant to COVID-19 mitigation. Additionally, interaction strengthened the positive relationship between self-efficacy and COVID-19. Data aggregation is entrusted with government database agencies, using natural language processing and machine learning mechanisms to validate and analyze.

CONCLUSION

The study shows that temperature thermometer detectors, mobile usability, and knowledge of App enhanced COVID-19 risk mitigation in a high or low-risk environment. The standardizing dataset is necessary to ensure privacy and security preservation of data ethics.

Are satisfied customers willing to pay more for extra services?

5G service refers to the mobile services build on the 5th generation telecommunication technology. It enhances end users’ experiences of the mobile internet surfing significantly. The high bandwidth of 5G technologies offers vendors opportunities to provide more value-added services to their customers and therefore improve the revenue. However, the competition in this market is intensive. In order to survive and finally get some payback, the vendors need to analysis the acceptance of 5G services from their consumers’ perspective. In this paper, we use the extended TAM model to investigate the 5G service acceptance in China. We conducted a survey to testify our model and got the results to support our argument. Our study has both theoretical contribution to the people who would like to do research in this area and practical contribution to managers who would like to provide 5G services to their customers.

Elderly's intention to use technologies: A systematic literature review

The population aging and an increased life expectancy are widely recognized social changes. Technologies are believed to improve the elderly's daily lives and maintain their health efficiently. Despite the advantage of adopting technologies, the elderly are slower to adopt new technologies compared to younger adults. This paper presents a Systematic Literature Review (SLR) to identify the different antecedents prevailing in the literature on elderly technology adoption. The SLR classifies and analyzes 26 relevant articles on elderly's technology adoption. Our findings revealed that quantitative approach and cross-sectional studies predominate in this field, building fundamentally upon the technology-driven theories. We identify seven categories of antecedents influencing elderly's use of technology, namely, technology, psychological, social, personal, cost, behavior, and environment antecedents. A conceptual framework for elderly's technology adoption and recommendations were presented. Particular attention is given to the need for in depth study for the antecedents, development of new measurement scales and investigation on the effectiveness of the proposed benefits after technology adoption.

Development of an Android-Based Self-Report Assessment for Elderly Driving Risk (SAFE-DR) App: Mixed Methods Study

Background

Self-report assessments for elderly drivers are used in various countries for accessible, widespread self-monitoring of driving ability in the elderly population. Likewise, in South Korea, a paper-based Self-Report Assessment for Elderly Driving Risk (SAFE-DR) has been developed. Here, we implemented the SAFE-DR through an Android app, which provides the advantages of accessibility, convenience, and provision of diverse information, and verified its reliability and validity.

Objective

This study tested the validity and reliability of a mobile app-based version of a self-report assessment for elderly persons contextualized to the South Korean culture and compared it with a paper-based test.

Methods

In this mixed methods study, we recruited and interviewed 567 elderly drivers (aged 65 years and older) between August 2018 and May 2019. For participants who provided consent, the app-based test was repeated after 2 weeks and an additional paper-based test (Driver 65 Plus test) was administered. Using the collected data, we analyzed the reliability and validity of the app-based SAFE-DR. The internal consistency of provisional items in each subdomain of the SAFE-DR and the test-retest stability were analyzed to examine reliability. Exploratory factor analysis was performed to examine the validity of the subdomain configuration. To verify the appropriateness of using an app-based test for older drivers possibly unfamiliar with mobile technology, the correlation between the results of the SAFE-DR app and the paper-based offline test was also analyzed.

Results

In the reliability analysis, Cronbach α for all items was 0.975 and the correlation of each item with the overall score ranged from r=0.520 to r=0.823; 4 items with low correlations were removed from each of the subdomains. In the retest after 2 weeks, the mean correlation coefficient across all items was r=0.951, showing very high reliability. Exploratory factor analysis on 40 of the 44 items established 5 subdomains: on-road (8 items), coping (16 items), cognitive functions (5 items), general conditions (8 items), and medical health (3 items). A very strong negative correlation of –0.864 was observed between the total score for the app-based SAFE-DR and the paper-based Driver 65 Plus with decorrelation scales. The app-based test was found to be reliable.

Conclusions

In this study, we developed an app-based self-report assessment tool for elderly drivers and tested its reliability and validity. This app can help elderly individuals easily assess their own driving skills. Therefore, this assessment can be used to educate drivers and for preventive screening for elderly drivers who want to renew their driver’s licenses in South Korea. In addition, the app can contribute to safe driving among elderly drivers.

Examining the Effect of Overload on the MHealth Application Resistance Behavior of Elderly Users: An SOR Perspective

Aging has increased the burden of social medical care. Mobile health (mHealth) services provide an effective way to alleviate this pressure. However, the actual usage of mHealth services for elderly users is still very low. The extant studies mainly focused on elderly users’ mHealth adoption behavior, but resistance behavior has not been sufficiently explored by previous research. A present study tried to remedy this research gap by examining the effect of overload factors on the mHealth application resistance behavior based on the stimulus-organism-response (SOR) framework. The results indicated that information overload and system feature overload of an mHealth application increased the fatigue and technostress of the elderly user, which further increased their resistance behavior. Meanwhile, we integrated the intergeneration support with the SOR model to identify the buffer factor of the elderly user’s resistance behavior. The results showed that intergenerational support not only directly decrease the elderly user’s mHealth application resistance behavior, but also moderates (weaken) the effects of fatigue and technostress on resistance behavior. The present study also provided several valuable theoretical and practical implications.

Promoting built-for-disaster-purpose mobile applications: An interdisciplinary literature review to increase their penetration rate among tourists

This study focuses on the promotion and use of tourist-oriented built-for-disasterpurpose mobile applications. The investigation relies on two trends that are characterizing modern societies. The first trend refers to the fact that recently, rapidly, and worldwide, the number of mobile applications users increased. The second trend refers to the fact that, worldwide, international tourism demand highly increased from the beginning of the 1960s to the mid-years of 2010s. These travelers are also users of mobile applications, and they use apps for several reasons, including those related to security/emergency issues. International travelers may need information such as risks at the destination, warnings, shelter locator services, emergency routes information, and traveler telephone hotline to be used in the case of earthquakes, tsunamis, infectious diseases, or other disasters. We considered the role of built-for-disasterpurpose mobile applications as a tool to provide information to tourists, increase their risk-awareness, and improve their disaster-preparedness. Previous studies suggest that these tools may have a high impact in that sense. However, the number of users informed about these applications tends to be very low. We systematically reviewed interdisciplinary academic contributions to analyze research on apps-users’ intention to adopt mobile applications. Findings suggest opportunities for future tourism-oriented studies aiming at increasing the number of users of built-for-disasters mobile applications. In particular, we provide a research agenda taking into consideration the geographical spread of the studies, the used research techniques, and the adopted theories.