The news media nowadays use their mobile applications to reach out to their users. Because users are almost ubiquitously equipped with smart mobile devices, the assumption is that sending out notifications to users leads to a better user experience and a greater reach for the company. However, the lack of user feedback on the push delivery makes measurement difficult to prove the effectiveness of notifications. In this paper, user log datasets from the Taiwan Apple Daily app are analyzed. The goal is to discover potential insights, characteristics and user behavior that would provide value addition to both news media companies and their users. Some of the notable results include cluster formation for app access locations for majority of users, and exponential decay of popularity of article categories which vastly depend on only a few articles within the categories.
See Full PDF See Full PDFIn this paper, user log data of mobile notifications are collected from a real mobile news application, and notification opening rate and reaction time are identified as key parameters that characterize user behavior. The results indicate that notification opening patterns depend on the content of notifications, the time at which they are sent, the activeness of users, and the reaction time. Also demonstrated in this paper is that there exists an inverse relationship between the notification opening rate of users and their notification reaction time, and between their notification opening rate and notification opening volume. Then, a novel method of quantifying notification usefulness for users is developed, and a notification optimization framework is developed for sending notifications from different news categories. The optimized notification allocation has a 3.21% improved average notification opening rate, and a 2.78 hour lesser average reaction time.
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In today's advancing ubiquitous computing age, with its ever-increasing amount of information from various applications and services available for consumption, the management of people's attention has become very important. In particular, the high volume of notifications on mobile devices has become a major cause of interruption of users. There has been much research aimed at detecting the opportune moment to present such information to users with in a way that lowers the cognitive load or frustration. However, evaluation of such systems in the real-world production environment with real users and notifications, and evaluation on user's engagement to the presented notification beyond simple responsiveness have not been adequately studied. To the best of our knowledge, this study is the first to investigate user interruptibility and engagement using a real-world large-scale mobile application and real-world notifications consisting of actual news content. We equipped the Yahoo! JAPAN Android app, one of the most popular applications on the national market, with our mobile-sensing and machine-learning-based interruptibility estimation logic. We conducted a large-scale in-the-wild user study with more than 680,000 users for three weeks. The results show that in most cases delaying the notification delivery until an interruptible moment is detected is beneficial to users and results in significant reduction of user response time (49.7%) compared to delivering the notifications immediately. We also observed a higher number of notifications opened in our system as well as constant improvement in user engagement levels throughout the entire study period.
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In case of Sudden Cardiac Arrest, an untreated time interval of only a few minutes usually means the victims’ death. Due to a variety of parameters, e.g., the current traffic situation and the mere traveling distance, emergency medical services often arrive too late in order to procure efficient cardiopulmonary. Given this premise, it is necessary to find alternative ways for providing immediate first aid measures. One promising approach is the implementation of a Volunteer Notification System (VNS) – integrating laypersons and medically trained volunteers into the professional medical services by notifying those potential helpers who are, at the time of incident, close to the victim. By tracking the users’ location, the system is able to notify those volunteers who can arrive on scene fast enough to provide the urgently needed measures. In September 2011, the European research project “EMuRgency” started the development of such a system. Whereas a running prototype has already successfully been developed, a more sophisticated solution is required to determine the relevant volunteers. While the actual distance is an important parameter, it does not necessarily determine the time of arrival at the scene. Possible obstacles might be in the way and both physical performance and the type of movement have a direct influence on the traveling speed. Furthermore, secondary criteria apply; e.g., the current situation a volunteer is in, knowledge of the area, general engagement and his or her medical expertise. This publication will give you an overview of the “EMuRgency” project and discuss the current stage of development of the VNS; furthermore, this paper will introduce the main concept for determining the relevant volunteers within an ongoing emergency scenario and the advantages of an artificial intelligence approach to enable an efficient volunteer selection will be discussed.
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In this research work a survey of tested mobile applications will be summarized, which were selected by a few defined prerequisites, and a brief overview is given of what is available in the corresponding stores. It will also be shown how the individual mobile applications for encyclopedias are presenting and providing information to users. This cover its visual representation and the manner in how information is retrieved. Additionally a new smart way will be introduced in which we can deal with information with a special focus to encyclopedias and mobile devices. The prototyped application carries out special features, which makes usage of mobile devices capabilities. The presented approach follows a slightly more aggressive way on how to bring information to users. For example it requires the permission of user and tells him/ her actively that there is an interesting piece of information close by his/ her location. Communication between the device and users is done using the notification system. To satisfy the needs of users a set of options will be presented so that they can customize time and number of notifications. Those settings shall also prevent the battery from draining to fast and give the user control about it. The outcome is a a prototype with a set of features which allows users to retrieve information based on their mood and their willingness of spending effort. If he/ she is eager to learn the application provides ways to support that. If he/ she just want some quick information there are ways to get it. And if he/ she wants a new way of information retrieval via mobile applications for encyclopedias the prototype offers the above mentioned possibility to do so.
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