scholarly journals What and How long: Prediction of Mobile App Engagement

2022 ◽  
Vol 40 (1) ◽  
pp. 1-38
Author(s):  
Yuan Tian ◽  
Ke Zhou ◽  
Dan Pelleg

User engagement is crucial to the long-term success of a mobile app. Several metrics, such as dwell time, have been used for measuring user engagement. However, how to effectively predict user engagement in the context of mobile apps is still an open research question. For example, do the mobile usage contexts (e.g., time of day) in which users access mobile apps impact their dwell time? Answers to such questions could help mobile operating system and publishers to optimize advertising and service placement. In this article, we first conduct an empirical study for assessing how user characteristics, temporal features, and the short/long-term contexts contribute to gains in predicting users’ app dwell time on the population level. The comprehensive analysis is conducted on large app usage logs collected through a mobile advertising company. The dataset covers more than 12K anonymous users and 1.3 million log events. Based on the analysis, we further investigate a novel mobile app engagement prediction problem—can we predict simultaneously what app the user will use next and how long he/she will stay on that app? We propose several strategies for this joint prediction problem and demonstrate that our model can improve the performance significantly when compared with the state-of-the-art baselines. Our work can help mobile system developers in designing a better and more engagement-aware mobile app user experience.

2020 ◽  
Author(s):  
Michael Mackert ◽  
Dorothy Mandell ◽  
Erin Donovan ◽  
Lorraine Walker ◽  
Mike Garcia ◽  
...  

UNSTRUCTURED Health communication campaigns often suffer from the shortcomings of a limited budget and limited reach, resulting in a limited impact. This paper suggests a shift to audience-centered communication platforms – particularly apps on mobile phones. By using a common platform, multiple interventions and campaigns can combine resources and increase user engagement, resulting in a larger impact on health behavior. Given the widespread use of mobile phones, mobile apps can be an effective and efficient tool to provide health interventions. One such platform is Father’s Playbook, a mobile app designed for men to be more involved during their partner’s pregnancy. Health campaigns and interventions looking to reach expectant fathers can use Father’s Playbook as a vehicle for their messages.


Healthcare ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 129 ◽  
Author(s):  
Heather Kaplan ◽  
Lisa Opipari-Arrigan ◽  
Christopher Schmid ◽  
Christine Schuler ◽  
Shehzad Saeed ◽  
...  

Inflammatory bowel disease (IBD) affects 3 million children and adults in the US. Treatment involves medications with considerable risk profiles. Dietary modification, such as the specific carbohydrate diet (SCD), may be helpful in treating IBD, but there is insufficient evidence of its effectiveness. N-of-1 trials are ideal for addressing this important research question. The Personalized Research on Diet in Ulcerative Colitis and Crohn’s Disease (PRODUCE) study employs a series of 50 individual N-of-1 trials that compare the SCD to a modified SCD. Treatment periods are assigned in blocks of two, with each patient completing two balanced treatment blocks. Patients are randomized to start with the SCD or modified SCD and alternate between conditions for four eight-week periods. A mobile app guides collecting and viewing data, transitioning diets, and reviewing personal results. Primary outcomes include patient reported outcomes (PROs) of stool frequency, stool consistency, pain interference, and gastrointestinal (GI) symptom severity. We examine changes in inflammation via fecal calprotectin. Participants will receive a personalized answer regarding comparative effectiveness between the SCD and a less restrictive diet option (modified SCD), as well as compared to their baseline diet. We will aggregate the results of completed N-of-1 trials across patients to estimate population level comparative effectiveness of these treatments and the effectiveness of each diet.


Author(s):  
Qinghua Yang

Despite the ubiquity of smartphone ownership and the increasing integration of social engagement features in smoking cessation apps to engage users, the social and non-social engagement features that are present in current smoking cessation apps and the effectiveness of these features in engaging users remain understudied. To fill the gap in the literature, a content analysis of free and paid smoking cessation mobile apps was conducted to examine (a) the presence of social features (i.e., social support, social announcement, and social referencing) and non-social engagement features (e.g., personal environmental changes, goal setting, progress tracking, reinforcement tracking, self-monitoring, and personalized recommendations) and (b) their relationships with user engagement scores measured by the Mobile App Rating Scale. In this study, 28.2% of the smoking cessation apps enable social announcement and 8.1% offered the social support feature. Only two apps provided a social referencing feature (1.3%). No app included reinforcement tracking, with the percentage of other non-social engagement features ranging from 9.4% to 49.0%. Social support (β = 0.30, p < 0.001), social announcement (β = 0.21, p < 0.05), and social referencing (β = 0.18, p < 0.05) were significant predictors of user engagement. Regarding the non-social engagement features, personal environment changes (β = 0.38, p < 0.001), progress tracking (β = 0.18, p < 0.05), and personalized recommendations (β = 0.37, p < 0.001) significantly predicted user engagement. The findings not only contribute to the mobile communication literature by applying and extending the theory-based mobile health apps engagement typology, but also inform the future architecture design of smoking cessation mobile apps.


2021 ◽  
Author(s):  
Chelsey Wilks ◽  
Carol Chu ◽  
DongGun Sim ◽  
Josh Lovell ◽  
Peter Gutierrez ◽  
...  

BACKGROUND People with suicidal thoughts are more inclined to seek technology-delivered interventions than in-person forms of treatment, making mobile apps for suicide prevention an ideal platform for treatment delivery. OBJECTIVE This review examines apps designed for suicide prevention, with a specific focus on user engagement. METHODS All apps referring to suicidal thoughts and behaviors were identified in Google Play and iOS app stores and were systematically reviewed for app content and quality. The Mobile App Rating Scale (MARS) was used to evaluate app usability and engagement. RESULTS A total of 66 apps were identified. Most (64.0%) were designed specifically for people with suicidal ideation, whereas 89.3% had at least one best practice feature for suicide risk reduction and 83.3% scored in the “acceptable” range according to the MARS. The total MARS score was not associated with the user app rating or the number of features. CONCLUSIONS Only free apps were systematically evaluated, potentially limiting the breadth of this review. It is unclear how frequently these apps are used, whether they are reaching target audiences, or most importantly, if they are effective at reducing suicidal thoughts and behaviors.


2018 ◽  
Author(s):  
Amit Baumel ◽  
John M Kane

BACKGROUND The literature suggests that the product design of self-guided electronic health (eHealth) interventions impacts user engagement. Traditional trial settings, however, do not enable the examination of these relationships in real-world use. OBJECTIVE This study aimed to examine whether the qualities of product design, research evidence, and publicly available data predict real-world user engagement with mobile and Web-based self-guided eHealth interventions. METHODS This analysis included self-guided mobile and Web-based eHealth interventions available to the public—with their qualities assessed using the Enlight suite of scales. Scales included Usability, Visual Design, User Engagement, Content, Therapeutic Persuasiveness, Therapeutic Alliance, Credibility, and Research Evidence. Behavioral data on real-world usage were obtained from a panel that provides aggregated nonpersonal information on user engagement with websites and mobile apps, based on a time window of 18 months that was set between November 1, 2016 and April 30, 2018. Real-world user engagement variables included average usage time (for both mobile apps and websites) and mobile app user retention 30 days after download. RESULTS The analysis included 52 mobile apps (downloads median 38,600; interquartile range [IQR] 116,000) and 32 websites (monthly unique visitors median 5689; IQR 30,038). Results point to moderate correlations between Therapeutic Persuasiveness, Therapeutic Alliance, and the 3 user engagement variables (.31≤rs≤.51; Ps≤.03). Visual Design, User Engagement, and Content demonstrated similar degrees of correlation with mobile app engagement variables (.25≤rs≤.49; Ps≤.04) but not with average usage time of Web-based interventions. Positive correlations were also found between the number of reviews on Google Play and average app usage time (r=.58; P<.001) and user retention after 30 days (r=.23; P=.049). Although several product quality ratings were positively correlated with research evidence, the latter was not significantly correlated with real-world user engagement. Hierarchical stepwise regression analysis revealed that either Therapeutic Persuasiveness or Therapeutic Alliance explained 15% to 26% of user engagement variance. Data on Google Play (number of reviews) explained 15% of the variance of mobile app usage time above Enlight ratings; however, publicly available data did not significantly contribute to explaining the variance of the other 2 user-engagement variables. CONCLUSIONS Results indicate that the qualities of product design predict real-world user engagement with eHealth interventions. The use of real-world behavioral datasets is a novel way to learn about user behaviors, creating new avenues for eHealth intervention research.


2021 ◽  
Author(s):  
Zhuojun Gu ◽  
Ravi Bapna ◽  
Jason Chan ◽  
Alok Gupta

The most commonly cited issues with mobile apps are low user engagement and retention levels. In this paper, we use a randomized control trial to test the efficacy of crowdsourcing on enhancing user engagement and retention in the context of mobile gaming apps. We examine two specific crowdsourcing features: the ability to submit content and the ability to access crowdsourced content. We find that the content submission significantly increases engagement and retention by reducing users’ hazard of ending a session by approximately 11% relative to the baseline and reducing the hazard of abandoning the game app by 14%. In contrast, giving users the ability to access crowdsourced content has no significant effect on engagement but has a positive effect on retention by reducing the hazard of abandoning the game app by 13%. Surprisingly, we find that the interaction effect of these two crowdsourced features is negative on user engagement. Individually, the submission feature manifests itself via empowering users to control their product use experience, whereas the access feature’s positive effect on retention is mediated by diversity and novelty of content. However, the two effects are not complementary. It turns out when these two features are given together, the empowerment enabled by one’s own submission is crowded out by others’ submissions, and this dominates the diversity benefit. Crowdsourcing features have heterogeneous impact on different user segments, with heavy users and users of longer tenure being more affected by the crowdsourcing features. This paper was accepted by Anandhi Bharadwaj, information systems.


2019 ◽  
Vol 11 (1) ◽  
pp. 24-35
Author(s):  
Rhoda C. Joseph

This article examines mobile apps as a service provided through mobile government (mGovernment). Mobile apps were more typically associated with non-government businesses but are now growing in the public sector. The primary research question motivating this study is how are governments facilitating user engagement via their mobile devices through mGovernment? This study uses a citizen-consumer perspective with a theoretical framework based on the mobile user engagement model (MoEN) (Kim, Kim, & Wachter, 2013) to examine mGovernment apps. The results indicate that there are opportunities in the public sector to achieve a higher level of interaction and engagement between governments and their mobile constituents.


Author(s):  
Shankar Chaudhary

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.


e-Finanse ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 45-58
Author(s):  
Marzanna Poniatowicz ◽  
Agnieszka Piekutowska

AbstractThe aim of the paper is to analyse the effects of economic immigration on subnational government finance (SNG) in Poland. The goal to achieve is to answer the following research question: what are the fiscal effects of immigration on SNG budget revenues and expenditures. To answer this question, logarithmic models were developed. The analysis refers to the years 2007-2016. In this respect, data from Statistics Poland - referring to budget revenues and expenditures of communes, cities of district status, districts and voivodeships - were used. As far as immigration statistics are concerned, data from the Ministry of Family, Labour and Social Policy were used. The results indicate an increase in both revenues and expenditures of SNG as a result of immigration. Such results can be explained inter alia by the nature of migration - research were focused on economic immigration. Results confirm that the level of employment of foreigners is one of the determinants shaping the fiscal effect of immigration. Moreover, the impact of economic immigration on SNG budget revenues and expenditures depends on the structure of this budget. This explains the differentiated results of the analysis of the impact of immigration on SNG in different countries. The positive correlation between immigration and SNG revenues in Poland can be associated with a high share of subnational governments in personal income tax revenues as this tax is one of the main categories of SNG revenues. Furthermore, results show that the impact of immigration on local government budgets in Poland is modest. This confirms the conclusions drawn by other authors (e.g. Auerbach and Oreopoulos), that in the long term, immigration cannot be considered as a potential instrument for resolving fiscal imbalances.


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