BACKGROUND Both clinicians and patients use medical mobile phone apps. Anyone can publish medical apps, which leads to contents with variable quality that may have a serious impact on human lives. We herein provide an overview of the prevalence of expert involvement in app development and whether or not app contents adhere to current medical evidence. OBJECTIVE To systematically review studie...

Large-scale research has gained momentum in the context of Mobile Human-Computer Interaction (Mobile HCI), as many aspects of mobile app usage can only be evaluated in the real world. We present findings on the challenges of research in the large via app stores, in conjunction with selected data collection methods (logging, self-reporting) we identified and have proven as useful in our research...

In this paper, we examine the emerging copycat issue in the mobile apps market. Using machine learning techniques on large-scale unstructured data, we detect two types of copycats (deceptive and non-deceptive) from 10,100 action game apps from iOS App Store over five years. Based on our detected copycats, we model the key drivers of mobile app copycats as well as their major impacts. Our result...

Abstract—The prevalence of smart mobile devices has promoted the popularity of mobile applications (a.k.a. apps). Supporting mobility has become a promising trend in software engineering research. This article presents an empirical study of behavioral service profiles collected from millions of users whose devices are deployed with Wandoujia, a leading Android app-store service in China. The da...

Location-based services (LBS) are very important mobile app services, which provide diverse mobility services for mobile users anywhere and anytime. This brings new demands, issues, and challenges in mobile application testing. Today, mobile applications provide location-based service functions based on dynamic location contexts, mobile users and their travel patterns to deliver location-based ...

BACKGROUND Numerous mobile applications have been developed to support diabetes-self-management. However, the majority of these applications lack a theoretical foundation and the involvement of people with diabetes during development. The aim of this study was to develop and test a mobile application (app) supporting diabetes self-management among people with newly diagnosed type 2 diabetes usi...

BACKGROUND Although complications of obesity are well acknowledged and managed by clinicians, management of obesity itself is often difficult, which leads to its underdiagnosis and undertreatment in hospital settings. However, tools that could improve the management of obesity, including self-monitoring, engagement with a social network, and open channels of communication between the patient an...

BACKGROUND Atrial fibrillation (AFib) is the most common form of heart arrhythmia and a potent risk factor for stroke. Nonvitamin K antagonist oral anticoagulants (NOACs) are routinely prescribed to manage AFib stroke risk; however, nonadherence to treatment is a concern. Additional tools that support self-care and medication adherence may benefit patients with AFib. OBJECTIVE The aim of this...

Mobile devices are different from desktop based systems in terms of particular execution environment, limited resources, small size and high mobility requirement. Various agile based methodologies are developed for mobile applications such as Mobile-D, Scrum, and MASAM etc. These methodologies are used in building mobile apps. Some of web engineering models or methodologies such as WebE, OOHDM ...

Group communication will undoubtedly be a useful paradigm for many applications of wireless networking in which reliability and timeliness are requirements. Moreover, locationawareness is clearly central to mobile applications such as traÆc management and smart spaces. In this paper, we introduce our de nition of proximity groups in which group membership depends on location and then discuss so...