scholarly journals Unsupervised Detection of Changes in Usage-Phases of a Mobile App

2020 ◽  
Vol 10 (10) ◽  
pp. 3656
Author(s):  
Hoyeol Chae ◽  
Ryangkyung Kang ◽  
Ho-Sik Seok
Keyword(s):  
User Interfaces ◽  
Mobile Apps ◽  
Generative Models ◽  
Mobile App ◽  
Phase Changes ◽  
Machine Learning Techniques ◽  
Detection Methods ◽  
Scale Invariant ◽  
Promising Alternative ◽  
Usage Phase

Under the fierce competition and budget constraints, most mobile apps are launched without sufficient tests. Thus, there exists a great demand for automated app testing. Recent developments in various machine learning techniques have made automated app testing a promising alternative to manual testing. This work proposes novel approaches for one of the core functionalities of automated app testing: the detection of changes in usage-phases of a mobile app. Because of the flexibility of app development languages and the lack of standards, each mobile app is very different from other apps. Furthermore, the graphical user interfaces for similar functionalities are rarely consistent or similar. Thus, we propose methods detecting usage-phase changes through object recognition and metrics utilizing graphs and generative models. Contrary to the existing change detection methods requiring learning models, the proposed methods eliminate the burden of training models. This elimination of training is suitable for mobile app testing whose typical usage-phase is composed of less than 10 screenshots. Our experimental results on commercial mobile apps show promising improvement over the state-of-the-practice method based on SIFT (scale-invariant feature transform).

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

Stuttering mHealth Applications: A Qualitative Rubric Assessment (Preprint)

2020 ◽  
Author(s):  
Fazwa M. Fadzilah ◽  
Noreen Izza Arshad ◽  
Izuddin Zainal-Abidin ◽  
Hui Min Low ◽  
Ahmad Kamil Mahmood ◽  
...  
Keyword(s):  
Research Evidence ◽  
Mobile Apps ◽  
Group Discussion ◽  
Standard Form ◽  
Mobile App ◽  
Evidence Based ◽  
Evaluation Instrument ◽  
Collective Effort ◽  
Speech Therapists

BACKGROUND Mobile applications (apps) that offer a variety of techniques to improve stuttering have been flourishing in the digital marketplace. In evidence-based clinical practice, speech therapists will recommend audio-enriched mobile apps to individuals with stuttering problems based on empirical research evidence. Unfortunately, many stuttering mobile apps available in the market are developed without a substantial research base. Hence, speech therapists necessitate a guideline which they could use to assess the quality of a stuttering mobile app before recommending the app to stutterers. OBJECTIVE The objective of this study is to develop a rubric for assessing the quality of the stuttering mobile app in assisting speech therapists to make informed recommendations METHODS The rubric was initially developed based on a set of criteria reviewed from the literature. Online surveys and focused group discussion were then conducted for results verification. RESULTS The outcome of this study is a rubric designed with four categories and 18-evaluative dimensions tailored to analyze the quality of stuttering mobile apps. The stuttering mobile app assessment rubric presented in the serve multiple purposes, including an evaluation instrument, providing guidelines for developing stuttering mobile apps and for creating a standard form that can be shared with professionals to facilitate a collective effort. CONCLUSIONS This rubric also offers a guidance to steer drive the future development of stuttering mobile apps that are evidence-based, and theoretically grounded

Predicting Uptake of the COVID Coach App Among U.S. Military Veterans: A Funnel Analysis Using a Probability-Based Panel (Preprint)

2022 ◽  
Author(s):  
Beth K Jaworski ◽  
Katherine Taylor ◽  
Kelly M Ramsey ◽  
Adrienne J Heinz ◽  
Sarah Steinmetz ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Mobile Apps ◽  
Military Veterans ◽  
Total Sample ◽  
Mobile App ◽  
Future Research ◽  
Nationally Representative ◽  
Managing Stress ◽  
Usage Data

BACKGROUND Although the pandemic has not led to a uniform increase of mental health concerns among older adults, there is evidence to suggest that some older veterans did experience an exacerbation of pre-existing mental health conditions, and that mental health difficulties were associated with a lack of social support and increasing numbers of pandemic-related stressors. Mobile mental health apps are scalable, may be a helpful resource for managing stress during the pandemic and beyond, and could potentially provide services that are not accessible due to the pandemic. However, overall comfort with mobile devices and factors influencing the uptake and usage of mobile apps during the pandemic among older veterans are not well known. COVID Coach is a free, evidence-informed mobile app designed for pandemic-related stress. Public usage data have been evaluated, but its uptake and usage among older veterans has not been explored. OBJECTIVE The purpose of the current study was to characterize smartphone ownership rates among U.S. veterans, identify veteran characteristics associated with downloading and use of COVID Coach, and characterize key content usage within the app. METHODS Data were analyzed from the 2019-2020 National Health and Resilience in Veterans Study (NHRVS), which surveyed a nationally representative, prospective cohort of 3,078 U.S. military veterans before and one year into the pandemic. The NHRVS sample was drawn from KnowledgePanel®, a research panel of more than 50,000 households maintained by Ipsos, Inc. Median time to complete the survey was nearly 32 minutes. The research version of COVID Coach was offered to all veterans who completed the peri-pandemic follow-up assessment on a mobile device (n = 814; weighted 34.2% of total sample). App usage data from all respondents who downloaded the app (n = 34; weighted 3.3% of the mobile completers sample) were collected between November 14, 2020 and November 7, 2021. RESULTS We found that most U.S. veterans own smartphones and veterans with higher education, greater number of adverse childhood experiences, higher extraversion, and greater severity of pandemic-related PTSD symptoms were more likely to download COVID Coach. Although uptake and usage of COVID Coach was relatively low (3.3% of eligible participants, n = 34), 50% of the participants returned to the app for more than one day of use. The interactive tools for managing stress were used most frequently. CONCLUSIONS Although the coronavirus pandemic has increased the need for and creation of digital mental health tools, these resources may require tailoring for older veteran populations. Future research is needed to better understand how to optimize digital mental health tools, such as apps, to ensure uptake and usage among older adults, particularly those who have experienced traumas across the lifespan.

Deepfake videos: synthesis and detection techniques –a survey

2021 ◽  
pp. 1-21
Author(s):  
Shahela Saif ◽  
Samabia Tehseen
Keyword(s):  
Social Systems ◽  
Generative Models ◽  
Detection Methods ◽  
Future Research ◽  
Fake News ◽  
Research Directions ◽  
Detection Techniques ◽  
Future Research Directions ◽  
Video Creation ◽  
The One

Deep learning has been used in computer vision to accomplish many tasks that were previously considered too complex or resource-intensive to be feasible. One remarkable application is the creation of deepfakes. Deepfake images change or manipulate a person’s face to give a different expression or identity by using generative models. Deepfakes applied to videos can change the facial expressions in a manner to associate a different speech with a person than the one originally given. Deepfake videos pose a serious threat to legal, political, and social systems as they can destroy the integrity of a person. Research solutions are being designed for the detection of such deepfake content to preserve privacy and combat fake news. This study details the existing deepfake video creation techniques and provides an overview of the deepfake datasets that are publicly available. More importantly, we provide an overview of the deepfake detection methods, along with a discussion on the issues, challenges, and future research directions. The study aims to present an all-inclusive overview of deepfakes by providing insights into the deepfake creation techniques and the latest detection methods, facilitating the development of a robust and effective deepfake detection solution.

Use of RNA isolated from feces as a promising tool for the early detection of colorectal cancer

2012 ◽  
Vol 27 (2) ◽  
pp. 82-89 ◽  
Author(s):  
Giuliano Bernal
Keyword(s):  
Colorectal Cancer ◽  
Early Detection ◽  
Low Cost ◽  
Occult Blood ◽  
Detection Methods ◽  
Fecal Occult Blood ◽  
Public Health Services ◽  
Promising Alternative ◽  
Altered Expression ◽  
Fecal Occult

Colorectal cancer is one of the most common forms of cancer worldwide. Early detection would allow patients to be treated surgically and halt the progression of the disease; however, the current methods of early detection are invasive (colonoscopy and sigmoidoscopy) or have low sensitivity (fecal occult blood test). The altered expression of genes in stool samples of patients with colorectal cancer can be determined by RT-PCR. This is a noninvasive and highly sensitive technique for colorectal cancer screening. According to information gathered in this review and our own experience, the use of fecal RNA to determine early alterations in gene expression due to malignancy appears to be a promising alternative to the current detection methods and owing to its low cost could be implemented in public health services.

scholarly journals Prototype User Interface Mobile App E-Learning

2021 ◽  
Vol 7 (1) ◽  
pp. 61-70
Author(s):  
Henderi Henderi ◽  
Praditya Aliftiar ◽  
Alwan Hibatullah
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Mobile Application ◽  
Mobile App ◽  
User Needs ◽  
High Fidelity ◽  
Application Development ◽  
E Learning ◽  
Prototype Design ◽  
People Today

Information technology has developed rapidly from time to time. One of the technologies commonly owned by many people today is smartphones with the Android and IOS platforms. By knowing this factor, mobile developers compete with each other to design applications with attractive user interfaces so that users are interested in using them. At this stage in mobile application development, starting from designing a user interface prototype. This stage aims to visualize user needs, improve user experience and simplify the coding process by programmers. In this study, researchers applied the prototype method. This research produces a prototype design for the e-learning application user interface which consists of a high fidelity prototype.

scholarly journals Towards a Scientific Definition of App Marketing – A Practice-Oriented Approach Using Scientific and Grey Literature

2021 ◽  
Vol 2 (1) ◽  
pp. 13-25
Author(s):  
Atilla Wohllebe ◽  
Mario Hillmers
Keyword(s):  
Mobile Apps ◽  
Grey Literature ◽  
Mobile App ◽  
Point Of View ◽  
Practical Point ◽  
Gray Literature ◽  
Definition Of ◽  
Job Ads ◽  
Oriented Approach

The relevance of smartphones and mobile apps has increased significantly in recent years. Increasingly, companies are trying to use mobile apps for their business purposes. Accordingly, the role of app marketing has become more important. Nevertheless, there is no uniform understanding of the term "app marketing". Based on scientific and gray literature, two definitions of "app marketing" are developed. In the narrower sense, app marketing refers to measures aimed at making a mobile app better known and acquiring users i. e. generating app downloads. In the broader sense, app marketing refers to all activities that are used to acquire users for a mobile app, contact them, and encourage them to reach a specified goal. Additionally, based on job ads, an overview of activities in app marketing is provided from a practical point of view. Here, the focus is primarily on paid app install campaigns as well as on monitoring, reporting and analytics.

scholarly journals Seeing Things Differently: The use of mobile app interpretation and its effect on visitor experience at two heritage sites in Aotearoa New Zealand

2021 ◽  
Author(s):  
◽  
Jessica Aitken
Keyword(s):  
New Zealand ◽  
Case Studies ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Qualitative Interviews ◽  
Mobile App ◽  
Research Approach ◽  
Visitor Experience ◽  
Heritage Sites ◽  
High Street

<p>The practice of contemporary heritage interpretation has seen increased investment in digital technologies and more recently in mobile applications. However, few empirical studies assess how effective mobile apps are to the visitor experience of heritage sites. What kind of visitor experience do mobile apps provide? How do mobile apps deliver on the aims of interpretation for heritage sites? What types of apps work best? What are the challenges for developers and heritage professionals?  A qualitative research approach is used to examine two case studies; High Street Stories: the life and times of Christchurch’s High Street Precinct and IPENZ Engineering Tours: Wellington Heritage Walking Tour. These case studies ask what kind of experience mobile apps offer as an interpretation tool at these heritage sites. To investigate the topic, email interviews were carried out with heritage professionals and digital developers; together with qualitative interviews with visitors recruited to visit the case study sites using the mobile applications.   This study explores two current examples of mobile app technology in the heritage sector in a New Zealand context. The results of this study aim to augment current literature on the topic of digital interpretation. This study seeks to offer heritage managers and interpreters some key factors to consider when making decisions regarding the methods used to present and interpret heritage sites to visitors and in developing new interpretation and digital strategies that include mobile applications. Although each scenario presents its particular set of considerations and all heritage sites are different, it is hoped these recommendations can be applied and offer working models and strategies.</p>

scholarly journals UAV-BASED STRUCTURAL DAMAGE MAPPING – RESULTS FROM 6 YEARS OF RESEARCH IN TWO EUROPEAN PROJECTS

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 187-194 ◽  
Author(s):  
N. Kerle ◽  
F. Nex ◽  
D. Duarte ◽  
A. Vetrivel
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Point Cloud ◽  
Feature Fusion ◽  
Texture Features ◽  
Mobile App ◽  
Detection Methods ◽  
Support Vector ◽  
3D Point Cloud ◽  
Damage Mapping

<p><strong>Abstract.</strong> Structural disaster damage detection and characterisation is one of the oldest remote sensing challenges, and the utility of virtually every type of active and passive sensor deployed on various air- and spaceborne platforms has been assessed. The proliferation and growing sophistication of UAV in recent years has opened up many new opportunities for damage mapping, due to the high spatial resolution, the resulting stereo images and derivatives, and the flexibility of the platform. We have addressed the problem in the context of two European research projects, RECONASS and INACHUS. In this paper we synthesize and evaluate the progress of 6 years of research focused on advanced image analysis that was driven by progress in computer vision, photogrammetry and machine learning, but also by constraints imposed by the needs of first responder and other civil protection end users. The projects focused on damage to individual buildings caused by seismic activity but also explosions, and our work centred on the processing of 3D point cloud information acquired from stereo imagery. Initially focusing on the development of both supervised and unsupervised damage detection methods built on advanced texture features and basic classifiers such as Support Vector Machine and Random Forest, the work moved on to the use of deep learning. In particular the coupling of image-derived features and 3D point cloud information in a Convolutional Neural Network (CNN) proved successful in detecting also subtle damage features. In addition to the detection of standard rubble and debris, CNN-based methods were developed to detect typical façade damage indicators, such as cracks and spalling, including with a focus on multi-temporal and multi-scale feature fusion. We further developed a processing pipeline and mobile app to facilitate near-real time damage mapping. The solutions were tested in a number of pilot experiments and evaluated by a variety of stakeholders.</p>

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