Analysis and Resolution of Semantic Ambiguity of Toggle Buttons by Standardizing the Design in Software GUI and Mobile Apps

2017 ◽  
Vol 8 (2) ◽  
pp. 1-18
Author(s):  
Hongyu Guo ◽  
Amjad Nusayr ◽  
Wen-Chen Hu
Keyword(s):  
Mobile Devices ◽  
Current Practice ◽  
Mobile Apps ◽  
Mobile App ◽  
Semantic Ambiguity ◽  
Design Standards ◽  
Action Semantics

Toggle buttons are intuitive gadgets widely used in software GUI design and mobile app interfaces with increasing popularity on mobile devices. However, the current practice of toggle button design is prone to semantic ambiguity, which causes confusions to the users. This paper presents an analysis of the various paradigms of toggle button design in the current practice and provides a resolution of the sematic ambiguities by proposing a set of design standards regarding toggle buttons. State semantics and action semantics are distinguished and it is advocated that state semantics should be used in lieu of action semantics.

scholarly journals Parents welcome follow-up using mobile devices: A survey of acceptability at an Australian tertiary paediatric centre

2019 ◽  
Vol 47 (2) ◽  
pp. 189-192 ◽  
Author(s):  
Harry E Smallbone ◽  
Thomas FE Drake-Brockman ◽  
Britta S von Ungern-Sternberg
Keyword(s):  
Mobile Devices ◽  
Electronic Communication ◽  
Mobile Apps ◽  
Paediatric Population ◽  
Mobile App ◽  
Success Rates ◽  
Online Forms ◽  
Almost All ◽  
To Receive

Follow-up for ongoing management and monitoring of patients is important in clinical practice and research. While common, telephone follow-up is resource intensive and, in our experience, yields low success rates. Electronic communication using mobile devices including smartphones and tablets can provide efficient alternatives — including SMS (text), online forms and mobile apps. To assess attitudes towards electronic follow-up, we surveyed 642 parents and carers at Perth Children’s Hospital, targeting demographics, device ownership and attitudes towards electronic follow-up. Mobile phone ownership was effectively universal. Almost all respondents were happy to communicate electronically with the hospital. Promisingly, 93.2% of respondents were happy to receive follow-up SMSs from the hospital and 80.3% were happy to reply to SMS questions. There was less enthusiasm regarding other modalities, with 59.9% happy to use a website and 69.0% happy to use a mobile app. The results support the introduction of electronic communication for follow-up in our paediatric population.

scholarly journals Session Fingerprinting in Android via Web-to-App Intercommunication

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Efthimios Alepis ◽  
Constantinos Patsakis
Keyword(s):  
Mobile Devices ◽  
Context Awareness ◽  
Mobile Apps ◽  
Personal Data ◽  
Mobile App ◽  
Web Pages ◽  
Sensitive Information ◽  
Privacy Concerns ◽  
Everyday Lives

The extensive adoption of mobile devices in our everyday lives, apart from facilitating us through their various enhanced capabilities, has also raised serious privacy concerns. While mobile devices are equipped with numerous sensors which offer context-awareness to their installed apps, they can also be exploited to reveal sensitive information when correlated with other data or sources. Companies have introduced a plethora of privacy invasive methods to harvest users’ personal data for profiling and monetizing purposes. Nonetheless, up till now, these methods were constrained by the environment they operate, e.g., browser versus mobile app, and since only a handful of businesses have actual access to both of these environments, the conceivable risks could be calculated and the involved enterprises could be somehow monitored and regulated. This work introduces some novel user deanonymization approaches for device and user fingerprinting in Android. Having Android AOSP as our baseline, we prove that web pages, by using several inherent mechanisms, can cooperate with installed mobile apps to identify which sessions operate in specific devices and consequently further expose users’ privacy.

scholarly journals Mobile Apps in Daily Learning Activities

2018 ◽  
Vol 12 (6) ◽  
pp. 133 ◽  
Author(s):  
Ivo Damyanov ◽  
Nikolay Tsankov
Keyword(s):  
Mobile Devices ◽  
Mobile Apps ◽  
Educational Games ◽  
Mobile App ◽  
School Education ◽  
Learning Activities ◽  
Smart Devices ◽  
Single Person ◽  
The Subject ◽  
Main Determinants

<span>The use of mobile devices is increasing in daily learning activities, providing single-person use combined with interactive learning materials, simulations, voice recognition and educational games. Mobile app stores bring to learners a large amount of mobile applications, but their value and effectiveness to support these learning activities is far from being adequately studied.</span><br /><span>In this paper, we present our recent study related to the opportunities for smart devices to be used in school education, outlining the main obstacles and challenges. The subject of the research is students' interest in the use of multimedia mobile devices for educational purposes. The aim of the study is to establish the main determinants for the complete and purposeful application of smart devices in school education.</span>

Mobile Apps in Open Educational Resources

2020 ◽  
pp. 489-507
Author(s):  
Ying Xiu ◽  
Jose L. Fulgencio ◽  
Tutaleni I. Asino ◽  
Alesha D. Baker
Keyword(s):  
Open Access ◽  
Digital Divide ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Mobile App ◽  
Open Educational Resources ◽  
Educational Resources ◽  
Desktop Computers

Globally, those who have traditionally been adversely impacted by the digital divide due to lack of access to computing technologies such as desktop computers, are also the ones who have been shown to have high adoption of mobile devices. If open educational resources (OER) are to have the envisaged wide impact, it is necessary to look at the role mobile applications and mobile app markets play in the OER movement. In this chapter, we link mobile applications and OER and discuss the role mobile app markets play in facilitating open-access learning initiatives. This is done by exploring OER and mobile learning definitions, benefits, and barriers; and comparing and contrasting mobile apps across a set of variables including purpose and resource format.

scholarly journals How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Konglin Zhu ◽  
Xiaoman He ◽  
Bin Xiang ◽  
Lin Zhang ◽  
Achille Pattavina
Keyword(s):  
Mobile Devices ◽  
Mobile Apps ◽  
Critical Issue ◽  
Mobile App ◽  
User Preference ◽  
Mobile Users ◽  
User Privacy ◽  
The Past ◽  
Privacy Leakage ◽  
Privacy Violation

With the rapid proliferation of mobile devices, explosive mobile applications (apps) are developed in the past few years. However, the functions of mobile apps are varied and the designs of them are not well understood by end users, especially the activities and functions related to user privacy. Therefore, understanding how much danger of mobile apps with respect to privacy violation to mobile users is becomes a critical issue when people use mobile devices. In this paper, we evaluate the mobile app privacy violation of mobile users by computing the danger coefficient. In order to help people reduce the privacy leakage, we combine both the user preference to mobile apps and the privacy risk of apps and propose a mobile app usage recommendation method named AppURank to recommend the secure apps with the same function as the “dangerous” one for people use. The evaluation results show that our recommendation can reduce the privacy leakage by 50%.

scholarly journals A Mobile Application Recommendation Framework by Exploiting Personal Preference with Constraints

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Konglin Zhu ◽  
Zexuan Liu ◽  
Lin Zhang ◽  
Xinyu Gu
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Mobile Applications ◽  
Mobile Application ◽  
Mobile Apps ◽  
Mobile App ◽  
Network Data ◽  
Mobile Data ◽  
Personal Preference ◽  
Battery Power

Explosive mobile applications (Apps) are proliferating with the popularity of mobile devices (e.g., smartphones, tablets). These Apps are developed to satisfy different function needs of users. Majority of existing App Stores have difficulty in recommending proper Apps for users. Therefore, it is of significance to recommend mobile Apps for users according to personal preference and various constraints of mobile devices (e.g., battery power). In this paper, we propose a mobile App recommendation framework by incorporating different requirements from users. We exploit modern portfolio theory (MPT) to combine the popularity of mobile Apps, personal preference, and mobile device constraints for mobile App recommendation. Based on this framework, we discuss the recommendation approaches by constraints of phone power and limited mobile data plan. Extensive evaluations show that the proposed mobile App recommendation framework can well adapt to power and network data plan constraints. It satisfies the user App preference and mobile device constraints.

scholarly journals Offloading of Mobile Apps in Hand-Held Devices using Machine Learning

2019 ◽  
Vol 8 (4) ◽  
pp. 10536-10543
Keyword(s):  
Machine Learning ◽  
Energy Consumption ◽  
Mobile Devices ◽  
Execution Time ◽  
Mobile Apps ◽  
Poor Performance ◽  
Cloud Service ◽  
Mobile App ◽  
Cloud Services ◽  
Mobile Users

The usage of hand-held and mobile devices has been increased rapidly in recentyears. The execution of sophisticated softwares and Apps on mobile phonescan lead to poor performance with respect to energy consumption and responsetime. With the emergence of the offloading concept of App workloads, an attempt has been made toimprove the performance of the hand-held devices by exploiting cloud service. The computation offloadingin hand-held devices consumes energy as well as time for transferring the datafrom hand-held devices to cloud. For the effective use of cloud services, there is a need to optimize the execution time of mobile App and energy consumedby the respective App. Many research endeavors have been made in recentyears to reduce the execution time and energy consumption during offloadingprocess. However, the usage of offloading has been evolved to quench the thirstof mobile users who execute multiple Apps simultaneously and are in dire needof seamless connectivity but some dynamic algorithms are needed to decidewhether offloading is favorable or not for a mobile App. If the mobile Apptakes more time and consumes more battery if executed on cloud then it isrecommended to use mobile platform rather than using cloud services. In thispaper, we are presenting machine learning based techniques which would help the mobile users in decision making to execute the App on mobile devices or on cloud using cloud services.

Where did my 256 GB go? A Measurement Analysis of Storage Consumption on Smart Mobile Devices

2021 ◽  
Vol 5 (2) ◽  
pp. 1-28
Author(s):  
Ashish Bijlani ◽  
Umakishore Ramachandran ◽  
Roy Campbell
Keyword(s):  
Mobile Devices ◽  
Large Scale ◽  
User Study ◽  
Mobile Apps ◽  
Mobile App ◽  
Android Apps ◽  
Measurement Analysis ◽  
Redundant Storage ◽  
Smart Mobile ◽  
Smart Mobile Devices

This work presents the first-ever detailed and large-scale measurement analysis of storage consumption behavior of applications (apps) on smart mobile devices. We start by carrying out a five-year longitudinal static analysis of millions of Android apps to study the increase in their sizes over time and identify various sources of app storage consumption. Our study reveals that mobile apps have evolved as large monolithic packages that are packed with features to monetize/engage users and optimized for performance at the cost of redundant storage consumption. We also carry out a mobile storage usage study with 140 Android participants. We built and deployed a lightweight context-aware storage tracing tool, called cosmos, on each participant's device. Leveraging the traces from our user study, we show that only a small fraction of apps/features are actively used and usage is correlated to user context. Our findings suggest a high degree of app feature bloat and unused functionality, which leads to inefficient use of storage. Furthermore, we found that apps are not constrained by storage quota limits, and developers freely abuse persistent storage by frequently caching data, creating debug logs, user analytics, and downloading advertisements as needed. Finally, drawing upon our findings, we discuss the need for efficient mobile storage management, and propose an elastic storage design to reclaim storage space when unused. We further identify research challenges and quantify expected storage savings from such a design. We believe our findings will be valuable to the storage research community as well as mobile app developers.

scholarly journals Effort Estimation in Traditional and Agile Mobile Application Development & Testing

2018 ◽  
Vol 12 (3) ◽  
pp. 1265
Author(s):  
Anureet Kaur ◽  
Kulwant Kaur
Keyword(s):  
Software Development ◽  
Mobile Devices ◽  
Mobile Application ◽  
Mobile Apps ◽  
Human Life ◽  
Mobile App ◽  
Effort Estimation ◽  
Application Development ◽  
Estimation Techniques ◽  
Software Application

Smartphones<em>/</em>mobile devices are enduring all the aspects of human life. With the significant increase in demand for applications running on smartphones/mobile devices, developers and testers are anticipated to deliver high quality, on time and within budget applications. The estimation of development and testing provides a baseline and act as a tracking gear for stakeholders and developers. There are various approaches for estimation of traditional software development. But mobile applications are considered different from traditional software such as from those running on desktop, laptop or on the web. Many traditional estimation techniques used for these software are adapted to mobile domain. With agile software development (ASD) methodology, the scenario of development and estimation has changed drastically and so as mobile app development and estimation. This paper provides a Systematic Literature Review (SLR) on traditional estimation techniques and agile estimation techniques applied in mobile software/application. Also, effort attributes and accuracy parameters for estimation in mobile apps are presented. However, to date, there are very fewer studies done on the mobile application estimation domain using agile methodology.

scholarly journals Use of Mobile Application for Communication, Interaction and Learning: Lessons from an Action Research

2021 ◽  
Vol 6 (01) ◽  
pp. 60-70
Author(s):  
Shesha Kanta Pangeni
Keyword(s):  
Action Research ◽  
Mobile Devices ◽  
Mobile Application ◽  
Mobile Apps ◽  
Mobile App ◽  
Mobile Technologies ◽  
Learning Resources ◽  
Large Computer ◽  
Learning Facilitation ◽  
E Learning

Integration of mobile technologies into training and instruction for learning facilitation is important these days. It is because the users of the mobile devices are increasing as enablers of the learning opportunity anywhere all the times. In addition, learners like to get information, learning resources and activities on their palms via mobile devices. In this context, this paper reports lessons from action research about the use of customized android mobile application at a teacher education institution in Nepal. The research started with the purpose of promoting the use of Mobile App for e-learning that contributes to improving access to e-learning resources and instant communication for course activities. Online survey, informal interaction and interview were used to collect data. Activity theory has been influential to analyse the use of Mobile App for the learning facilitation. The research shows that the course facilitators rarely used Mobile App, instead they liked using web browsers in their large computer screen. However, students used the Mobile App and they wanted the updated version with user-friendly interface. Main lesson from the research is that the roles of institution and facilitators are important to create and provide mobile friendly options of learning facilitation where students themselves can explore in the internet, learn, and use available applications and tools required for their learning. Training institutions can introduce mobile application to bring about a change in the ways of training methods and pedagogical practices with technological interventions. Trainers can consider mobile apps for techno-friendly instructional experiences. Also, learners can access mobile apps for training resources and other learning to enhance their knowledge and skill.

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