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Average number of app downloads per month.

Average number of app downloads per month.

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Mobile applications (apps) are software developed for use on mobile devices and made available through app stores. App stores are highly competitive markets where developers need to cater to a large number of users spanning multiple countries. This work hypothesizes that there exist country differences in mobile app user behavior and conducts one o...

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... highest proportion of users downloaded 2-5 apps per month (40%) (Fig. 5). This was followed by 0-1 apps (35%), 6-10 apps (14%), 11-20 apps (7%), and 21-30 apps (2%). Only 2% of users downloaded more than 30 apps per ...

Citations

... Another sampling bias may be introduced by the operating system that is addressed with the smartphone app. There are studies on the differences between the operating systems and how they influence the user's choice for the operating system and the cell phone; even minor personality differences have been found (Lim et al. 2014;Götz et al. 2017). With the TrackYourTinnitus app being available for iOS and Android, Pryss and colleagues investigated the differences between the iOS and Android users and found significant group differences in the age and tinnitus duration : The Android users were on average 1.5 years older than iOS users (t(1443) = −2.1, ...
Chapter
The aim of this chapter is to introduce and describe how digital technologies, in particular smartphones, can be used in research in two areas, namely (i) to conduct personality assessment and (ii) to assess and promote physical activity. This area of research is very timely, because it demonstrates how the ubiquitously available smartphone technology—next to its known advantages in day-to-day life—can provide insights into many variables, relevant for psycho-social research, beyond what is possible within the classic spectrum of self-report inventories and laboratory experiments. The present chapter gives a brief overview on first empirical studies and discusses both opportunities and challenges in this rapidly developing research area. Please note that the personality part of this chapter in the second edition has been slightly updated.
... Another sampling bias may be introduced by the operating system that is addressed with the smartphone app. There are studies on the differences between the operating systems and how they influence the user's choice for the operating system and the cell phone; even minor personality differences have been found (Lim et al. 2014;Götz et al. 2017). With the TrackYourTinnitus app being available for iOS and Android, Pryss and colleagues investigated the differences between the iOS and Android users and found significant group differences in the age and tinnitus duration : The Android users were on average 1.5 years older than iOS users (t(1443) = −2.1, ...
... Despite the importance of the issue, culture-based studies on the acceptance of mobile apps and their interfaces are not sufficient in the literature . In the limited number of studies JIABR on the topic, Lim et al. (2015) investigate whether the mobile app behaviors of consumers in the 15 countries with the highest gross domestic product differ culturally. In another study, Sampaio et al. (2017) focused on mobile apps of banks in their study, which includes consumers from different cultures (Brazil, India and USA). ...
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Purpose This study aims to determine the attitudes of Turkish consumers toward Islamic mobile shopping apps and discuss whether these apps will need to be designed in accordance with Islamic rules in Muslim countries or not in the sample of Turkey. Design/methodology/approach A descriptive study was used. The data was collected online through a questionnaire form. The one-sample t -test and univariate analysis of variance were used to analyze the data obtained from 379 individuals. Findings The results show that Turkish customers have mostly positive attitudes toward Islamic mobile shopping apps and demand that the pictures, videos and advertisements used on mobile shopping apps be in concordance with Islamic rules. As a result of this study, consumers do not mind the colors or lean toward the use of models on Islamic mobile shopping apps. Furthermore, there are differences between gender with regard to using Islamic mobile shopping apps, showing that male consumers have a more positive attitude toward Islamic mobile shopping apps compared with female consumers. Research limitations/implications Like many previous empirical studies, this study has limited its context to capture a particular geographical area. Moreover, in this study, the data are obtained by judgmental sampling as a nonrandom sampling method. The contributions of the current study are restricted to Islamic mobile apps for the hijab clothing sector in Turkey. Practical implications The results obtained can become a yardstick to measure consumer attitudes toward Islamic mobile apps’ attributes. Originality/value The primary benefit is to call the attention of mobile app designers to the design features of mobile shopping apps aimed at Muslim users. The second benefit is to determine the expectations of Muslim users regarding the design of Islamic mobile shopping apps, and eventually establish the fundamental Islamic design features needed to be available on new Islamic mobile shopping apps.
... Several studies have shown that non-functional performance characteristics have a strong impact on user satisfaction (Inukollu et al. 2014;Lim et al. 2014;Khalid et al. 2014;Liu et al. 2014;Ferrucci et al. 2015;Kim et al. 2015;Martins et al. 2018;Gao et al. 2018Gao et al. , 2020. ...
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Nowadays there is an increased pressure on mobile app developers to take non-functional properties into account. An app that is too slow or uses much bandwidth will decrease user satisfaction, and thus can lead to users simply abandoning the app. Although automated software improvement techniques exist for traditional software, these are not as prevalent in the mobile domain. Moreover, it is yet unknown if the same software changes would be as effective. With that in mind, we mined overall 100 Android repositories to find out how developers improve execution time, memory consumption, bandwidth usage and frame rate of mobile apps. We categorised non-functional property (NFP) improving commits related to performance to see how existing automated software improvement techniques can be improved. Our results show that although NFP improving commits related to performance are rare, such improvements appear throughout the development lifecycle. We found altogether 560 NFP commits out of a total of 74,408 commits analysed. Memory consumption is sacrificed most often when improving execution time or bandwidth usage, although similar types of changes can improve multiple non-functional properties at once. Code deletion is the most frequently utilised strategy except for frame rate, where increase in concurrency is the dominant strategy. We find that automated software improvement techniques for mobile domain can benefit from addition of SQL query improvement, caching and asset manipulation. Moreover, we provide a classifier which can drastically reduce manual effort to analyse NFP improving commits.
... Digital journalism also has several characteristics: including hypertextuality, interactivity, nonlinearity, multimedia, convergence, customization and personalization. There are significant differences in application user behavior in various countries and regions, and market-driven software engineering related to price sensitivity and ecosystem effects is facing new challenges [18]. The Uses and Gratifications theory is one of the mass communication theories, which is used to study the relationship between the media and the audience. ...
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In this rapidly changing technological era, the increasing popularity of mobile devices has driven the prevalence of apps and changed the way people communicate and deliver messages. The maturity and development of technology have enabled faster access to network resources, and the number of services for downloading App applications has increased significantly. Because of the popularity of mobile devices and the convenience of the Internet, News App can immediately read the latest and most immediate domestic and foreign news no matter where you are. Not only has it changed everyone’s habit of reading news in the past, but its convenience also allows the public to immediately Grasp the first-hand news. This research uses the theory of use and satisfaction as the main framework to explore the user’s personal characteristics, use motivation, and satisfaction after use. The main research object is News App users of smart mobile devices, based on the use and satisfaction theory-related literature. Organize and analyze to establish a research framework, and conduct in-depth relevant research, verification, of the constructed concepts and research hypotheses through quantitative research methods. The results of the study found that the motivations of News App users are the information economy, entertainment relief, knowledge technology, and personal needs. The higher the use level, the higher their motivation needs and satisfaction levels. The color interface is the most blue. Popular, the results of this study can provide a way and reference direction when developing App applications.
... 14 Moreover, part of understanding user needs includes considering usability within the local context as different countries have been shown to indicate different factors that influence app adoption and reasons for abandoning an app. 15 For instance, users from China are more likely to select the first app on the list presented to them while users from the United States are more likely to be influenced by app price. 15 Integrating contextual factors, such as culturally specific information and communication style, can help provide meaningful experiences to encourage sustained usage. ...
... 15 For instance, users from China are more likely to select the first app on the list presented to them while users from the United States are more likely to be influenced by app price. 15 Integrating contextual factors, such as culturally specific information and communication style, can help provide meaningful experiences to encourage sustained usage. 16 Therefore, as studies have not yet examined user needs and concerns within the Singapore context, the current study aimed to explore user perception, needs, and concerns of health apps in patients with chronic constipation in Singapore. ...
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Objective Chronic constipation is a prevalent gastrointestinal disorder that requires long-term management and treatment adherence. With increasing smartphone usage, health app adoption represents an opportunity to incorporate personalized, patient-led care into chronic constipation management. Despite the number of apps available targeting patients with constipation, studies have not yet examined user needs and barriers towards successful app adoption and sustained usage. Accordingly, the current study explored user perception, needs, and concerns of health apps in patients with chronic constipation. Methods Fifteen participants with chronic constipation (age range = 28–79 years, 10 females) in Singapore completed a 60 min semi-structured qualitative interview exploring participant's experiences with and attitudes towards chronic constipation and health apps. Participants also completed two questionnaires regarding their constipation symptoms and general technology usage. Interviews were audio-recorded, transcribed verbatim, and coded using NVivo. Results Four themes and 10 sub-themes were identified using inductive thematic analysis. Themes and sub-themes cover importance of patient identity, disease-based expectations of health apps, barriers towards adoption and sustained usage of health apps, necessary conditions when adopting health apps (including perception of supportive benefits, clear understanding of app intention, personalized technology, and trusted sources), and push factor expectations which includes creative engagement and incentivization embedded within the app. Conclusion The findings captured barriers and key elements necessary for successful health app adoption and continued usage by patients with chronic constipation. Identified elements that matter to patients can provide app developers with user-focused insights and recommendations to develop effective health apps that sustain user engagement.
... User behavior plays a very important role in the development of online social network [33], but the competition of application stores is very fierce at present, and each country has different needs and priorities for application stores, so developers need to meet the needs of all users, which will be an arduous task [34]. In order to promote the development of online green behavior, users are analyzed from the aspects of user perception and social responsibility; the research results show that intrinsic participation motivation has the greatest influence on users' behavior intention [35]. ...
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With the development of information technology, high-speed transmission of electronic information resources, and explosive growth of information data, traditional data processing cannot meet the development of the times. With the arrival of the digital age, massive virtual numbers are deeply analyzed to turn the data into understandable information. As a product of the information age, sports app is widely used. With the increase of sports apps, the development of sports apps also has a bottleneck. In this paper, the survey data of sports app users are analyzed and processed by Excel 2016 and SPSS 23.0: (1) descriptive statistics of the research objects through technical statistical analysis; (2) testing the validity and credibility of the data through exploratory factor analysis and confirmatory factor analysis; (3) analysis of variance performed by independent sample t-test, one-way ANOVA, and Duncan’s test; (4) analyzing the correlation between factors through correlation analysis; (5) analyzing the influence among factors through multiple regression analysis. The results show that, through variance analysis, sports app users have significant differences in demographic characteristics ( P < 0.05 ). Through correlation analysis, the participation motivation, satisfaction, and loyalty of sports app users are highly correlated ( P < 0.01 ). Through multiple regression analyses, the participation motivation, satisfaction, and loyalty of sports app users have a significant positive impact ( P < 0.001 ). The purpose of this study is to provide theoretical references for the related research and decision-making of sports apps.
... Farhadi et al. [155] use a wireless trace [272] containing transmission timestamps generated by five different applications from 36 wireless devices to produce user requests. Chen et al. [116] use the data collected in [280] that contains the context information of a total of 10,208 end-users and their demand for 23 types of mobile applications. It is a helpful dataset for studying the link between the demand for mobile applications and user context information. ...
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The advent of new cloud-based applications such as mixed reality, online gaming, autonomous driving, and healthcare has introduced infrastructure management challenges to the underlying service network. Multi-access edge computing (MEC) extends the cloud computing paradigm and leverages servers near end-users at the network edge to provide a cloud-like environment. The optimum placement of services on edge servers plays a crucial role in the performance of such service-based applications. Dynamic service placement problem addresses the adaptive configuration of application services at edge servers to facilitate end-users and those devices that need to offload computation tasks. While reported approaches in the literature shed light on this problem from a particular perspective, a panoramic study of this problem reveals the research gaps in the big picture. This paper introduces the dynamic service placement problem and outline its relations with other problems such as task scheduling, resource management, and caching at the edge. We also present a systematic literature review of existing dynamic service placement methods for MEC environments from networking, middleware, applications, and evaluation perspectives. In the first step, we review different MEC architectures and their enabling technologies from a networking point of view. We also introduce different cache deployment solutions in network architectures and discuss their design considerations. The second step investigates dynamic service placement methods from a middleware viewpoint. We review different service packaging technologies and discuss their trade-offs. We also survey the methods and identify eight research directions that researchers follow. Our study categorises the research objectives into six main classes, proposing a taxonomy of design objectives for the dynamic service placement problem. We also investigate the reported methods and devise a solutions taxonomy comprising six criteria. In the third step, we concentrate on the application layer and introduce the applications that can take advantage of dynamic service placement. The fourth step investigates evaluation environments used to validate the solutions, including simulators and testbeds. We introduce real-world datasets such as edge server locations, mobility traces, and service requests used to evaluate the methods. We compile a list of open issues and challenges categorised by various viewpoints in the last step.
... Surveys can collect only the coarse-grained app usage behaviors of users, such as which app store they used and the number of apps they downloaded per month [19], [20]. However, fine-grained app usage traces, such as when and what apps are launched, are difficult to collect with surveys. ...
... 1) Worldwide Survey Dataset: This dataset was conducted through a survey methodology in 2012, collecting mobile app usage information of 10,208 people from more than 15 countries [19]. The countries include the United States, Canada, Mexico, the United Kingdom, Australia, France, Germany, Italy, Spain, Brazil, Russia, India, Japan, China, and South Korea. ...
... 1) Descriptive Profiling: [19], [23], [156]- [160] investigated how demographic characteristics affect app usage behavior. Andone et al. [156] looked into the effects of age and gender. ...
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As smartphones have become indispensable personal devices, the number of smartphone users has increased dramatically over the last decade. These personal devices, which are supported by a variety of smartphone apps, allow people to access Internet services in a convenient and ubiquitous manner. App developers and service providers can collect fine-grained app usage traces, revealing connections between users, apps, and smartphones. We present a comprehensive review of the most recent research on smartphone app usage analysis in this survey. Our survey summarizes advanced technologies and key patterns in smartphone app usage behaviors, all of which have significant implications for all relevant stakeholders, including academia and industry. We begin by describing four data collection methods: surveys, monitoring apps, network operators, and app stores, as well as nine publicly available app usage datasets. We then systematically summarize the related studies of app usage analysis in three domains: app domain, user domain, and smartphone domain. We make a detailed taxonomy of the problem studied, the datasets used, the methods used, and the significant results obtained in each domain. Finally, we discuss future directions in this exciting field by highlighting research challenges.
... These mHealth apps may target multiple user groups, including students, patients, healthcare professionals, and policy-makers 12,13 , which adds to the challenge of app choices. Recent studies have explored the factors behind app choices and found that users from the US are more likely to download medical apps, and that price, app features, descriptions, reviews, and rating stars were the most important factors affecting app choices 14,15 . These factors can also be confounded with each other. ...
... Linear regression in the R statistical package was used to model the data in each group, with the number of installs as the dependent variable and key metadata as the independent variable (predictors) 29,30 . The selection of metadata (independent variables) were based on the literature, including but not limited to: number of reviews, number of review rating, number of screenshots, and readability scores 15 . The coefficient of determination (R-squared value) of each mode was reported to show the proportion of variance in the dependent varuable explained by the independent variables. ...
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People with low health literacy are more likely to use mobile apps for health information. The choice of mHealth apps can affect health behaviors and outcomes. However, app descriptions may not be very readable to the target users, which can negatively impact app adoption and utilization. In this study, we assessed the readability of mHealth app descriptions and explored the relationship between description readability and other app metadata, as well as description writing styles. The results showed that app descriptions were at eleventh- to fifteenth-grade level, with only 6% of them meeting the readability recommendation (third- to seventh-grade level). The description readability played a vital role in predicting app installs when an app had no reviews. The content analysis showed copy-paste behaviors and identified two potential causes for low readability. More work is needed to improve the readability of app descriptions and optimize mHealth app adoption and utilization.