Push Notifications Research Articles

Fathers' involvement in early childcare is associated with amygdala resting-state connectivity.

Becoming a parent requires new skills and frequent task switching during daily childcare. Little is known about the paternal brain during the transition to fatherhood. The present study examined intrinsic neuronal network connectivity in a group of first-time expectant and new fathers (total N = 131) using amygdala seed-based resting-state functional connectivity analysis. Furthermore, we examined the association between paternal involvement (i.e. hours spent in childcare and real-time push notifications on smartphone) and connectivity within the parental brain network in new fathers. There were no significant differences in functional connectivity between expectant and new fathers. However, results show that in new fathers, time spent in childcare was positively related to amygdala connectivity with the supramarginal gyrus, postcentral gyrus and the superior parietal lobule—all regions within the cognition/mentalizing network that have been associated with empathy and social cognition. Our results suggest that fathers’ time investment in childcare is related to connectivity networks in the parental brain.

A randomised control trial of TeleClinical Care – a smartphone-app based model of care for heart failure and acute coronary syndromes

Abstract Background Acute coronary syndrome (ACS) and heart failure (HF) are frequent causes of hospitalisation and readmissions. A novel smartphone app-based model of care (TeleClinical Care – TCC) was developed to support patients after ACS or HF admission. Purpose This randomised control trial aimed to characterise both the intervention and clinical outcomes. The primary endpoint was the incidence of 30-day readmissions. Secondary endpoints included six-month cardiac and all-cause readmissions, mortality, major adverse cardiovascular events (MACE), cardiac rehabilitation (CR) completion, medication adherence, serum low-density lipoprotein (LDL-C), quality of life, blood pressure, body mass index, waist circumference and six-minute walk distance. Additionally, cost-effectiveness and user satisfaction were evaluated. Methods Patients were randomised 1:1 to either TCC plus usual care or usual care alone and were followed-up at six months. Intervention arm participants received the TCC app and were asked to use Bluetooth-enabled devices for measuring weight, heart rate, blood pressure and physical activity daily. Readings were automatically transmitted to the patient's smartphone and a secure web-server (KIOLA). Customisable thresholds for each parameter were defined at discharge. Abnormal readings were flagged by email to a monitoring team, who discussed management with the patient's usual healthcare providers. The app also provided educational push notifications. Results 164 patients from two hospitals in Sydney, Australia were enrolled between February 2019 and March 2020 (TCC n=81, control n=83). Recruitment ceased during the COVID-19 pandemic. The mean age was 61.5 years. 79% of patients were male. The per-patient mean percentage of days with data transmission was 64.2±27.5%. 565 alerts were received, 16% of which resulted in additional investigations, healthcare consultation or a change in management. There was no difference in 30-day readmission rate (11 readmissions in each arm). There was a significant difference in six-month readmissions, favouring the intervention (21 vs. 41 readmissions, HR=0.40, 95% CI 0.16–0.95, P=0.03), driven by a reduction in cardiac readmissions (11 vs. 25, HR=0.51, 95% CI 0.27–0.94, P=0.03). Use of TCC was associated with improved CR completion (39% vs. 18%, P=0.025) and medication adherence (75% vs. 50%, P=0.002). There was no significant difference in mortality, MACE, LDL-C, quality of life or any of the physical parameters. The average user rating was 4.56 out of 5. The study cost EUR 4015 per readmission saved. Upon modelling, it was calculated that if the number of enrolled patients exceeds 243, total expenditure will be overcome by cost savings from reducing readmissions. Conclusion The TCC model of care was feasible and safe. In this study, clinical benefits were demonstrated including a reduction in six-month readmissions, improved CR completion and improved medication adherence. Funding Acknowledgement Type of funding sources: Public hospital(s). Main funding source(s): Department of Cardiology, Prince of Wales HospitalPrince of Wales Hospital Foundation Figure 1. TCC interfaceFigure 2. Cumulative readmissions over the course of the trial

Playing smartphone games while studying: an experimental study on reading interruptions by a smartphone game

In this study, we investigated whether the use of smartphone games while reading a text reduces learning performance or reading speed. We also examined whether this is affected by push notifications. Ninety-three students were randomly assigned to three learning conditions. In the gaming group (G), participants played a game app for 20 s at 2-min intervals while reading. In one subgroup, the game app sent push notifications (GN+); in the other subgroup, no notifications (GN−) were sent. In the control group (C), participants did not play a game. After the reading, participants took a multiple-choice quiz. We compared quiz scores and reading times of the groups (G) and (C) and within the gaming group (GN+, GN−) and observed no differences. Since the statistical non-significance of these tests does not entail the absence of an effect, we conducted equivalence tests, which did not demonstrate equivalence either. The experiment ensured high internal validity, yet remained inconclusive. Reasons for the similarity of performance in all groups could be non-specific exercise effects (all participants owned a smartphone), low similarity between the tasks, low variance of participants’ ability and motivation (high achieving, low ADHD scores) or low game complexity. Future research should address these questions.

Do automatic push notifications improve patient flow in the emergency department? analysis of an ED in a large medical center in Israel.

IntroductionCongestion in emergency departments [ED] is a significant challenge worldwide. Any delay in the timely and immediate medical care provided in the ED can affect patient morbidity and mortality. Our research analyzed the use of an innovative platform to improve patient navigation in the ED, as well as provide updated information about their care. Our hope is that this can improve ED efficiency and improve overall patient care.ObjectiveThe primary objective of our study was to determine whether the use of an automatic push notification system can shorten ‘length of stay’ (LOS) in the ED, improve patient flow, and decrease ED patient load.MethodsThis was a prospective cohort study utilizing data extrapolated from the electronic medical records of 2972 patients who visited the walk-in ED of a large-scale central hospital in Israel from January 17, 2021 to March 15, 2021. During this period, the automatic push text notification system was activated on a week-on week-off basis. We compared data from our experimental group with the control group.ResultsThe results of this study indicate that the use of an automatic push notification system had a minimal impact on specific parameters of ED patient flow. Apart from a few significant reductions of specific timed-intervals during patients’ ED visit, the majority of results were not statistically significant.ConclusionThis study concluded that the anticipated benefits of a push text notification system in the ED do not, at this stage, justify the system’s additional cost. We recommend a follow-up study to further investigate other possible benefits.

Developing OurSleepKit: A Couple-focused mHealth Tool to Support Adherence to Positive Airway Pressure Treatment

ABSTRACT Background and Aim Existing interventions promoting positive airway pressure (PAP) adherence focus only on the diagnosed individual, despite the fact that partners are often the most impacted by obstructive sleep apnea (OSA), and are delivered mostly by health professionals, with limited success. The goal of this work is to develop a prototype of OurSleepKit, a couple-focused mobile health (mHealth) tool to coach mutual engagement and promote adherence to PAP treatment. Methods We used an iterative participatory approach working with future end users of OurSleepKit to support the development of this prototype. We conducted a total of 14 semi-structured in-depth open-ended dyadic interviews with OSA patients and their partners. Phase 1 of the development was to inform key functions of an engaging tool. Phase 2 focused on developing functions to engage positive conversation in the dyad and obtained feedback for this initial prototype. Results The OurSleepKit prototype was developed and demonstrated high acceptability and engagement. Three key functions included periodic assessments based on developmental stages of PAP treatment, a Coaching Board which provides customized and dynamically updated support content – primarily brief story-telling videos featuring real-life couples’ experiences – and timely tailored prompts (for action, learning, and conversation) through push notifications in the evening to facilitate positive conversation in the dyad and offer in-the-moment support for PAP use. Conclusions Going beyond the traditional and prevailing view of PAP use as an individual phenomenon, OurSleepKit is a novel mHealth intervention engaging both the patient and partner holding great promise to promote PAP adherence.

Drowsiness Detection for Motorized Vehicles Using Machine Learning

Abstract: Driver drowsiness is one of the major causes for most of the accidents in the world. Detecting the driver's eye tiredness is the easiest way for measuring the drowsiness of the driver. The advent of high-speed motorized vehicles drowsy driving accidents has claimed the lives of millions of people across the globe. To avoid such accidents, proposes a Machine Learning based system drowsiness system for motorized vehicles with alarm and Web Push Notifications to notify the driver before any accident occurs. The driver's face is captured by a real-time camera system, and the eye borders are detected by a pre-trained machine learning model from the real-time video stream. Then each eye is represented by 6 – coordinates (x, y) starting from the left corner of the eye and then working clockwise around the eye. The EAR (Ear Aspect Ratio) is calculated across 20 consecutive frames, and if it falls below a certain threshold, it sounds an alarm and sends the details of the nearest coffee shop to your mobile device via a Web Push Notification. When the alarm is activated, it also displays a list of nearby coffee shops to help the driver stay awake. Keywords: Machine Learning, SVM, MOR, EAR

WITNESSING LIKE A USER: MOBILE NOTIFICATIONS AND THE LAYERED CONSTRUCTION OF MEDIATIZED TERRORISM

This paper study the imbrication of data-driven devices and platform infrastructures and the mediatized construction of terrorist attacks. It analyzes the role of smartphone push notifications and technical affordances of “layering” media across diverse media devices and platforms in users’ mediatized life (e.g. screenshotting a tweet, posting it to Facebook, and users’ commenting on the post), and these platform and device features role in co-constructing terrorist attacks as datafied media events along with mobile media posts and reactions by users and formal news accounts and aggregations by media outlets. Using a data collection framework that logs screenshots of participants’ mobile media devices every five seconds over the course of longitudinal studies, I qualitatively observe screenshots capturing the mobile media usage of 16 subjects from late May to late June 2017, including media relating to two terrorist attacks in the UK. This paper illustrates the role of mobile device and datafied platform features in the sparking of mediatized microrituals and the broader construction of terrorist attacks as datafied media events. It also highlights the layering of mediatization, wherein the above-mentioned interface elements often migrate with a given media object across platforms within a single mobile environment on the user-end, and as it is layered with the users’ in-person contexts beyond the screen. The study of mediatized terrorism, therefore, must be understood across these layers, necessitating further empirical exploration and conceptual development.

Automated Alert System for River Water Level and Water Quality Assessment using Telegram Bot API

Technology has advanced to the point that it can assist people in their daily lives. Human beings may benefit from this development in a variety of ways. Progress in river water monitoring is also one of them. There are many advantages in improving the river water monitoring system. The objective of this project is to develop an automated system for monitoring river water levels and quality with push notification features. Internet of Things (IoT) was implemented in this research by using NodeMCU as a microcontroller to connect both ultrasonic sensors and pH sensors to the Internet. An ultrasonic sensor is used to read the water level, and a pH sensor is used to read the water pH values. The results show the successful output from all of 10 time attempts to obtain more accurate test results. The results will be averaged to be analysed and concluded from the test. All the tests include testing for the accuracy of the ultrasonic sensor, the accuracy of the pH sensor, and the performance of the internet connection using integrated Wi-Fi module in NodeMCU microcontroller. The system test also shows that it performs perfectly with the requirement needed to send the real-time status of the water level, water quality and an alert to the user using the Telegram Bot API. This research can help to increase the level of awareness of the river water monitoring system. This research was done by looking at people's problems in the vicinity of the river area by producing a system tool that helps to monitor the river water in real-time status.

Jeevan Jyoti Mobile Application for Ambulance Service

In these modern times where the technologies is evolving every day. In order to cope up with the need of proper ambulance services during medical emergency situation, an android mobile application named Jeevan Jyoti is introduced which will aim successful booking of ambulance with required medical support both in the ambulance and from the hospital. Mobile application is a growing and in-demand technology because of its easier accessibility and feasibility to remind users about the upcoming updates with the help of push notification. This idea approaches a system where whenever a request for ambulance is raised, it sends that request to all the nearby hospital(s) along with the parameters such as ambulance type, number of casualties, symptoms, medical report, etc. To expand this system, IoT is added which will help the doctor monitor the vital stats such as pulse rate and temperature of the patient continuously while the ambulance is en-route to the hospital.

COMPUTER VISION BASED TRAFFIC RULE BREACH DETECTION

This paper is about the detection of traffic rule breach via computer vision which takes the feed from the traffic surveillance system, processes the video feed, detects the breach and alerts the traffic police. The number of traffic accidents is on the rise with the increasing number of vehicles. Traffic breach is the biggest cause of accidents. So, to mitigate this problem our system processes the CCTV camera feed in real-time, detects the traffic rule breach events and sends the push notification to the android based application of the traffic police stationed nearby; so, further actions can be taken. As this system detects breach faster than humans, the concerned authoritarian department will be at ease in implementing safe roads accurately. This system acts as an add-on to the current video surveillance system rather than building new infrastructure. Thus, the output of this system can be used not only or safety and security purposes but as well as for analytical purposes with effective traffic monitoring at a lower cost. Hence, this system aids law enforcement agencies in implementing road safety efficiently and effectively ensuring smooth traffic flow.

A Systematic Review on Mobile Health Applications' Education Program for Patients Taking Oral Anticoagulants.

Warfarin is widely used as an oral anticoagulant. However, it is difficult to manage patients due to its narrow therapeutic range and individualized differences. Using controlled trials and real-world observational studies, this systematic review aimed to analyze health education’s impact among patients on warfarin therapy by mobile application. Smartphone and tablet applications have the potential to actively educate patients by providing them with timely information through push notifications. MEDLINE, EMBASE, CINAHL, Web of Science, and Cochrane electronic databases were searched using the keywords “anticoagulants,” “warfarin”, “mobile application”, and “smartphone” up to May 2020. Of the 414 articles obtained, 12 articles met the inclusion criteria for this review. The education and self-management programs using the mobile health application had diverse contents. A meta-analysis was not deemed appropriate because of the heterogeneity of populations, interventions, and outcomes. Thus, a narrative synthesis is presented instead. This review demonstrates that educating patients for anticoagulation management through their smartphones or tablets improves their knowledge levels, medication or treatment adherence, satisfaction, and clinical outcomes. Moreover, it has a positive effect on continuing health care. Future research concerning patients taking warfarin should include key self-management outcomes in larger, more rigorously designed studies, allowing for comparisons across studies. This study proposes a continuous application of timely education through smartphone applications to the current medical and nursing practice.

Influence of Design Elements of Mobile Push Notifications on Mobile App User Interactions

<p class="0abstract">With the increasing relevance of mobile apps for companies, push notifications to address app users are also becoming more important. While the acceptance factors of push notifications have already been extensively researched, the effect of the different design elements on user interaction by opening the mobile app is still completely unexplored. Based on existing scientific findings from related fields, especially banner advertising and e-mail marketing, the authors first develop hypotheses on the effect of title, button and image on user interaction with push notifications. In several experiments the hypotheses are tested using the example of a mobile shopping app. The results are evaluated using Chi-square test and Cramer's V. While the use of a title seems to have a positive effect on interaction rates, the hypotheses on the positive effect of buttons and images on interaction rates have to be rejected.</p>

The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol

Smoking is the leading preventable cause of death and disability in the U.S. Empirical evidence suggests that engaging in evidence-based self-regulatory strategies (e.g., behavioral substitution, mindful attention) can improve smokers' ability to resist craving and build self-regulatory skills. However, poor engagement represents a major barrier to maximizing the impact of self-regulatory strategies. This paper describes the protocol for Mobile Assistance for Regulating Smoking (MARS) – a research study designed to inform the development of a mobile health (mHealth) intervention for promoting real-time, real-world engagement in evidence-based self-regulatory strategies. The study will employ a 10-day Micro-Randomized Trial (MRT) enrolling 112 smokers attempting to quit. Utilizing a mobile smoking cessation app, the MRT will randomize each individual multiple times per day to either: (a) no intervention prompt; (b) a prompt recommending brief (low effort) cognitive and/or behavioral self-regulatory strategies; or (c) a prompt recommending more effortful cognitive or mindfulness-based strategies. Prompts will be delivered via push notifications from the MARS mobile app. The goal is to investigate whether, what type of, and under what conditions prompting the individual to engage in self-regulatory strategies increases engagement. The results will build the empirical foundation necessary to develop a mHealth intervention that effectively utilizes intensive longitudinal self-report and sensor-based assessments of emotions, context and other factors to engage an individual in the type of self-regulatory activity that would be most beneficial given their real-time, real-world circumstances. This type of mHealth intervention holds enormous potential to expand the reach and impact of smoking cessation treatments.

A Clinician-Led, Experience-Based Co-Design Approach for Developing mHealth Services to Support the Patient Self-management of Chronic Conditions: Development Study and Design Case.

BackgroundDespite the increasing use of mobile health (mHealth) services, such as mHealth apps or SMS text messaging services, that support the patient self-management of chronic conditions, many existing mHealth services lack theoretical guidance. In addition, although often the target audience for requirement acquisition at the initial mHealth app design stage, it is a common challenge for them to fully conceptualize their needs for mHealth services that help self-manage chronic conditions.ObjectiveThis study proposes a novel co-design approach with the initial requirements for mHealth services proposed by clinicians based on their experiences in guiding patients to self-manage chronic conditions. A design case is presented to illustrate our innovative approach to designing an mHealth app that supports the self-management of patients with obesity in their preparation for elective surgery.MethodsWe adopted a clinician-led co-design approach. The co-design approach consisted of the following four cyclic phases: understanding user needs, identifying an applicable underlying theory, integrating the theory into the prototype design, and evaluating and refining the prototype mHealth services with patients. Expert panel discussions, a literature review, intervention mapping, and patient focus group discussions were conducted in these four phases.ResultsIn stage 1, the expert panel proposed the following three common user needs: motivational, educational, and supportive needs. In stage 2, the team selected the Social Cognitive Theory to guide the app design. In stage 3, the team designed and developed the key functions of the mHealth app, including automatic push notifications; web-based resources; goal setting and monitoring; and interactive health-related exchanges that encourage physical activity, healthy eating, psychological preparation, and a positive outlook for elective surgery. Push notifications were designed in response to a patient’s risk level, as informed by the person’s response to a baseline health survey. In stage 4, the prototype mHealth app was used to capture further requirements from patients in the two focus group discussions. Focus group participants affirmed the potential benefits of the app and suggested more requirements for the function, presentation, and personalization needs. The app was improved based on these suggestions.ConclusionsThis study reports an innovative co-design approach that was used to leverage the clinical experiences of clinicians to produce the initial prototype app and the approach taken to allow patients to effectively voice their needs and expectations for the mHealth app in a focus group discussion. This approach can be generalized to the design of any mHealth service that aims to support the patient self-management of chronic conditions.

Edge-enabled Mobile Crowdsensing to Support Effective Rewarding for Data Collection in Pandemic Events

Smart cities use Information and Communication Technologies (ICT) to enrich existing public services and to improve citizens’ quality of life. In this scenario, Mobile CrowdSensing (MCS) has become, in the last few years, one of the most prominent paradigms for urban sensing. MCS allow people roaming around with their smart devices to collectively sense, gather, and share data, thus leveraging the possibility to capture the pulse of the city. That can be very helpful in emergency scenarios, such as the COVID-19 pandemic, that require to track the movement of a high number of people to avoid risky situations, such as the formation of crowds. In fact, using mobility traces gathered via MCS, it is possible to detect crowded places and suggest people safer routes/places. In this work, we propose an edge-anabled mobile crowdsensing platform, called ParticipAct, that exploits edge nodes to compute possible dangerous crowd situations and a federated blockchain network to store reward states. Edge nodes are aware of all critical situation in their range and can warn the smartphone client with a smart push notification service that avoids firing too many messages by adapting the warning frequency according to the transport and the specific subarea in which clients are located.

Personal finance apps and low‐income households

AbstractThe use of personal finance smartphone apps results in an improvement in various measures used to assess financial knowledge and skills, attitudes and motivations, and financially capable behaviors for those in low‐income households. Those provided with smartphone apps demonstrated increased self‐confidence in financial decision‐making and financial literacy and improved their ability to delay self‐gratification and their sense of being able to effect change. Financially capable behavior changes manifested in being better able to keep track of finances and manage unexpected bills. User engagement with finance apps could be improved by targeting users with a specific financial decision‐making problem, personalizing the apps through push notifications to encourage ongoing user engagement, and incorporating game mechanics.

PENERAPAN METODE PROTOTYPE PADA APLIKASI PENJADWALAN KERJA DAN KEGIATAN KARYAWAN BERBASIS PWA

<p><span class="fontstyle0">Abstract </span><span class="fontstyle2">: </span><span class="fontstyle3">Work and events scheduling is one of the most important parts in the sustainability of the production process in the company. One company from Pasuruan Regency which is engaged in soft drink production, still uses Microsoft Excel software in managing data that has several. Therefore we need a system that can manage schedules more efficiently. In building this system, using a website platform and using the prototype method as its approach. The Prototoype method is used with the aim of providing a common perception and understanding between researchers and clients of the basic process of the system to be built so that later it is expected to produce an appropriate system. In this application has several main features, for example, the push notification feature. This push notification is aimed at employees making it easier for employees to get up-to-date schedule information.<br /></span></p><p><span class="fontstyle0">Keywords: </span><span class="fontstyle3">Work and events scheduling, prototype, push notification</span> <br /><br /></p>

Neglect Application for Block the Unwanted Notification

Each of these notifications can provide added value in terms of content for smartphone users, but they can also cause disruption and interruption. As a result, advertisers must understand how the frequency with which messages are delivered affects consumer acceptance. The Prisma method is used to conduct the systematic review, which identifies a total of 18,725 potentially relevant scientific papers. Push notifications are appropriate for encouraging users to use an app and establish new habits, according to the 17 research articles included in the qualitative synthesis. App usage rises with frequency, with very active users tolerating higher rates. At the same time, it is demonstrated that too high is not a good thing. Because a frequency can be perceived as bothersome, users should be given the option to choose the frequency with which they get information. Notifications. A research gap has been found, especially in studies that look at observed app user behavior rather than behavior reported through questionnaires examine the interaction between notification frequency, content, and presentation.

Changing user needs and motivation to visit a website through ad experience: a case study of a university website

An organization’s website is one of its most crucial part in supporting the success of an organization. It can be used as a media campaign and acquaintanceship. Because of its importance, then user engagement is needed. User engagement is a crucial mediator in the process of persuasion involving interactive media. The user’s engagement in building the organization’s website is still low, especially on the university website. In this article, we developed a university web with a push notification to attract the user. Push notification implies not only a change in the interface between users and technology; they also imply changing user dynamics and patterns of use. This article discussing the use of push notifications can change the interest and motivation of web users. The questionnaires analyzed with User Experience Questionare+(UEQ+) conducted on respondents identified that users’ motivation to open and contribute to revisit websites increases.

622-P: Frequent Engagement with Retrospective Real-Time CGM Data Is Associated with Improved Glycemic Control

Real-time continuous glucose monitoring (CGM) systems allow users to take immediate action based on current glucose and its trajectory; retrospective review of CGM data permits behavior modification according to historic trends. Dexcom CGM Systems allow for data to be uploaded automatically into Dexcom CLARITY for retrospective review. CLARITY mobile app users can also engage with their recent data by setting goals for time in range (TIR; 70-180 mg/dL) and opting to receive push notifications when TIR goals are met. We evaluated the associations between CLARITY engagement and glycemic metrics. Anonymized data uploaded in September 2020 by a convenience sample of 25,000 US-based users of the G6 CGM System (Dexcom, Inc., San Diego, CA) were assessed. Users were stratified by those who engaged with CLARITY never, at least once, or every day in September 2020. Utilization was calculated as the number of sensor glucose values over the number of total possible sensor glucose values for days with ≥1 glucose value. CGM-derived glycemic metrics are shown in the Table. Increased CLARITY engagement was associated with lower mean glucose and higher TIR, mainly attributable to less hyperglycemia. Hypoglycemia exposure was consistently low and did not depend on the extent of CLARITY engagement. Frequent retrospective CGM data review may motivate behaviors that result in improved glycemic control.View largeDownload slideView largeDownload slide DisclosureJ. H. Van der linden: Employee; Self; Dexcom, Inc. S. Puhr: Employee; Self; Dexcom, Inc. J. Welsh: Employee; Self; Dexcom, Inc. T. C. Walker: Employee; Self; Dexcom, Inc.