scholarly journals Evaluation of Mood Check-in Feature for Participation in Meditation Mobile App Users: Retrospective Longitudinal Analysis

10.2196/27106 ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. e27106
Author(s):  
Jennifer Huberty ◽  
Jeni Green ◽  
Megan Puzia ◽  
Chad Stecher
Keyword(s):  
Mental Health ◽  
Longitudinal Analysis ◽  
Mindfulness Meditation ◽  
Mobile Apps ◽  
Median Number ◽  
Mobile App ◽  
Rate Of Change ◽  
Behavioral Strategies ◽  
Before And After ◽  
Intent To Treat

Background Mindfulness meditation smartphone apps may improve mental health but lack evidence-based behavioral strategies to encourage their regular use for attaining mental health benefits. In October 2019, the Calm mindfulness meditation app introduced a mood check-in feature, but its effects on participation in meditation have yet to be tested. Objective The objective of this study was to investigate how a mood check-in feature impacts meditation behavior in Calm app subscribers. Methods This was a retrospective longitudinal analysis of mobile app usage data from a random sample of first-time subscribers to the Calm app (n=2600) who joined in summer 2018 or summer 2019. The mood check-in feature allows users to rate their mood using an emoji after completing a meditation session and displays a monthly calendar of their past mood check-ins. Regression analyses were used to compare the rate of change in meditation behavior before and after the introduction of mood check-ins and to estimate how usage of mood check-ins was associated with individuals’ future meditation behavior (ie, intent-to-treat effects). Additional regression models examined the heterogenous effect of mood check-ins between subscribers who were active or inactive users prior to the introduction to mood check-ins (ie, above or below the median number of weeks with any meditation within their cohort). In order to confirm the specific associations between mood check-ins and meditation engagement, we modeled the direct relationship between the use of mood check-ins in previous weeks and subsequent meditation behavior (ie, treatment on the treated effects). Results During the first 9 months of their subscription, the 2019 cohort completed an average of 0.482 more sessions per week (95% CI 0.309 to 0.655) than the 2018 cohort; however, across both cohorts, average weekly meditation declined (–0.033 sessions per week, 95% CI –0.035 to –0.031). Controlled for trends in meditation before mood check-ins and aggregate differences between the 2018 and 2019 samples, the time trend in the number of weekly meditation sessions increased by 0.045 sessions among the 2019 cohort after the introduction of mood check-ins (95% CI 0.039 to 0.052). This increase in meditation was most pronounced among the inactive subscribers (0.063 sessions, 95% CI 0.052 to 0.074). When controlled for past-week meditation, use of mood check-ins during the previous week was positively associated with the likelihood of meditating the following week (odds ratio 1.132, 95% CI 1.059 to 1.211); however, these associations were not sustained beyond 1 week. Conclusions Using mood check-ins increases meditation participation in Calm app subscribers and may be especially beneficial for inactive subscribers. Mobile apps should consider incorporating mood check-ins to help better engage a wider range of users in app-based meditation, but more research is warranted.

Evaluating mood check-ins to promote engagement in mobile app-based mindfulness meditation (Preprint)

2021 ◽  
Author(s):  
Jennifer Huberty ◽  
Jeni Green ◽  
Megan Puzia ◽  
Chad Stecher
Keyword(s):  
Mindfulness Meditation ◽  
Mobile Apps ◽  
Negative Mood ◽  
Cumulative Effect ◽  
Positive Mood ◽  
Mobile App ◽  
Rate Of Change ◽  
Behavioral Strategies ◽  
Specific Effects ◽  
Before And After

BACKGROUND Mindfulness meditation smartphone applications (apps) are popular apps to improve mental health but lack evidence-based behavioral strategies to encourage adherence. In October 2019, the Calm mindfulness meditation app introduced a mood check-in feature, but its effects on user adherence have yet to be tested. OBJECTIVE The objective of this study is to test whether a mood check-in feature within the Calm app improves adherence to app-based meditation practice. METHODS This was a retrospective longitudinal analysis of usage data from a random sample of first-time subscribers to the Calm app (N=2,600) who joined in summer 2018 or summer 2019. Regression analyses were used to compare the rate of change in meditation behavior before and after the introduction of mood check-ins and to estimate how pervious usage of mood check-ins predicted individuals’ future meditation behavior. Additional regression models examined the specific effects of prior mood check-ins containing a positively versus negatively rated mood. RESULTS Controlling for usage during the eight weeks prior and to usage trends among 2018 subscribers, the cumulative effect of eight weeks of mood check-ins was an estimated increase of approximately one meditation session. Positive mood check-ins during the previous week increase the odds of meditation by 1.224, but negative mood check-ins were not associated with future meditation behavior. CONCLUSIONS Using mood check-ins increases meditation participation and the likelihood of meditation particularly for positive mood check-ins. Mobile apps should consider incorporating mood check-ins to sustain behavior or increase adherence but more research is warranted.

Parents’ Perceptions of Their Children’s Engagement in a Consumer-Based Meditation Mobile App: Cross-Sectional Survey Study (Preprint)

2020 ◽  
Author(s):  
Megan Puzia ◽  
Breanne Laird ◽  
Jeni Green ◽  
Jennifer Huberty
Keyword(s):  
Mental Health ◽  
Mindfulness Meditation ◽  
Mobile Apps ◽  
The United States ◽  
Mobile App ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Breathing Exercises ◽  
Children’S Sleep

BACKGROUND In the United States, nearly half (48%) of school-aged children experience sleep disturbance that results in less than the recommended sleep duration, which may negatively impact mental health and behavior. Mindfulness interventions may improve sleep and mental health in youth. However, there are gaps in the literature regarding how children (2-12 years) and adolescents (13-17 years) practice mindfulness and the extent to which they benefit from these practices. OBJECTIVE The purpose of this study was to determine parents’ perceptions of their children’s engagement with a consumer-based mindfulness meditation app and the extent to which they believe their children have benefitted from using the app, particularly with regard to sleep. METHODS This study is a secondary analysis of a cross-sectional survey in adult subscribers (N=11,108) to the mindfulness meditation mobile app Calm. Participants who indicated that they had a child or children younger than 18 years (2944/11,108) who used the Calm app were asked additional questions related to their perceptions of their children’s engagement with Calm. Descriptive statistics were used to assess children’s app engagement, and chi-square tests and binary logistic regression models were used to assess differences in children’s usage based on gender and age. RESULTS Among the survey respondents, approximately half of the parents (1537/2944, 52.21%) reported that their children used Calm. Children used Calm mostly for (1) sleep (1168/1537, 75.99%), (2) stress (491/1537, 31.95%), (3) depression or anxiety (430/1537, 27.98%), and (4) improvement of overall health (215/1537,13.99%). Older children were more likely to begin using Calm to reduce stress, depression, or anxiety, whereas younger children were more likely begin using Calm to improve sleep. Most children used Calm when lying down to go to bed (1113/1529, 72.79%). Children were most likely to use sleep stories at night (1144/1207, 94.78%), followed by music and soundscapes (749/1114, 67.24%), meditations (736/1120, 65.71%), and breathing exercises (610/1092, 55.86%). Nearly all parents believed that using sleep stories was helpful for their children’s sleep (1090/1128, 96.63%), and the majority of parents felt that the other components were also helpful for their children’s sleep (music and soundscapes [570/728, 78.30%], meditations [445/696, 63.94%], and breathing exercises [610/1092, 55.86%]). CONCLUSIONS To our knowledge, this is the first study to explore parents’ perceptions of how their children or adolescents use a popular consumer-based mindfulness mobile app (ie, Calm). As the majority of children use the app for sleep, mindfulness meditation mobile apps should consider incorporating age-appropriate sleep content to meet the needs of this audience. More research is needed to confirm the feasibility and effectiveness of mindfulness meditation apps for improving sleep and mental health in children and adolescents.

scholarly journals Parents’ Perceptions of Their Children’s Engagement in a Consumer-Based Meditation Mobile App: Cross-Sectional Survey Study

10.2196/24536 ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. e24536
Author(s):  
Megan Puzia ◽  
Breanne Laird ◽  
Jeni Green ◽  
Jennifer Huberty
Keyword(s):  
Mental Health ◽  
Mindfulness Meditation ◽  
Mobile Apps ◽  
The United States ◽  
Mobile App ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Breathing Exercises ◽  
Children’S Sleep

Background In the United States, nearly half (48%) of school-aged children experience sleep disturbance that results in less than the recommended sleep duration, which may negatively impact mental health and behavior. Mindfulness interventions may improve sleep and mental health in youth. However, there are gaps in the literature regarding how children (2-12 years) and adolescents (13-17 years) practice mindfulness and the extent to which they benefit from these practices. Objective The purpose of this study was to determine parents’ perceptions of their children’s engagement with a consumer-based mindfulness meditation app and the extent to which they believe their children have benefitted from using the app, particularly with regard to sleep. Methods This study is a secondary analysis of a cross-sectional survey in adult subscribers (N=11,108) to the mindfulness meditation mobile app Calm. Participants who indicated that they had a child or children younger than 18 years (2944/11,108) who used the Calm app were asked additional questions related to their perceptions of their children’s engagement with Calm. Descriptive statistics were used to assess children’s app engagement, and chi-square tests and binary logistic regression models were used to assess differences in children’s usage based on gender and age. Results Among the survey respondents, approximately half of the parents (1537/2944, 52.21%) reported that their children used Calm. Children used Calm mostly for (1) sleep (1168/1537, 75.99%), (2) stress (491/1537, 31.95%), (3) depression or anxiety (430/1537, 27.98%), and (4) improvement of overall health (215/1537,13.99%). Older children were more likely to begin using Calm to reduce stress, depression, or anxiety, whereas younger children were more likely begin using Calm to improve sleep. Most children used Calm when lying down to go to bed (1113/1529, 72.79%). Children were most likely to use sleep stories at night (1144/1207, 94.78%), followed by music and soundscapes (749/1114, 67.24%), meditations (736/1120, 65.71%), and breathing exercises (610/1092, 55.86%). Nearly all parents believed that using sleep stories was helpful for their children’s sleep (1090/1128, 96.63%), and the majority of parents felt that the other components were also helpful for their children’s sleep (music and soundscapes [570/728, 78.30%], meditations [445/696, 63.94%], and breathing exercises [610/1092, 55.86%]). Conclusions To our knowledge, this is the first study to explore parents’ perceptions of how their children or adolescents use a popular consumer-based mindfulness mobile app (ie, Calm). As the majority of children use the app for sleep, mindfulness meditation mobile apps should consider incorporating age-appropriate sleep content to meet the needs of this audience. More research is needed to confirm the feasibility and effectiveness of mindfulness meditation apps for improving sleep and mental health in children and adolescents.

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.

scholarly journals The Influence of Mindfulness Meditation Versus CBT for Anxiety on Emotional Distress and Attitudes Towards Seeking Mental Health Treatment

2021 ◽  
Author(s):  
Daniela Aisenberg-Shafran ◽  
Liav Shturm
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Emotional Distress ◽  
Mental Health Treatment ◽  
Mindfulness Meditation ◽  
Psychological Treatment ◽  
Behavioral Therapy ◽  
Control Group ◽  
Health Treatment ◽  
Before And After

Abstract Older adults often avoid seeking psychological treatment, challenging their ability to adaptively deal with anxiety, stress and depression. The aim of the current study was to compare the effects of a mindfulness intervention vs. cognitive-behavioral-therapy (CBT) on measures of emotional distress and attitudes towards seeking mental-health treatment among older adults. Twenty-four seniors were assigned to: 1) MBIS (Mindfulness-Based Intervention for Seniors); and 2) CBT for anxiety, or to a care-as-usual control group. Attitudes towards seeking psychological treatment, levels of depression, anxiety and worry were measured before and after the interventions. Following the intervention, participants more positively addressed the possibility of utilizing psychological treatment, while no changes were observed in the control group. Interestingly, levels of worry improved only in the MBIS group, and anxiety levels only improved in the CBT group. It seems that attending cognitive group interventions are effective to their focus and positively impact attitudes towards psychological treatment.

scholarly journals Digital Tools Fill a Gap in Mental Health Screening and Support, Particularly for Women Lacking Strong Social Networks

Iproceedings ◽  
10.2196/15207 ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e15207
Author(s):  
Dani Bradley ◽  
Christina Cobb ◽  
Adam Wolfberg
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Healthcare Provider ◽  
Mobile Apps ◽  
Single Women ◽  
Health Screening ◽  
Mental Health Screening ◽  
Married Women ◽  
Mobile App ◽  
Screening Tools

Background Roughly 11% of women suffer from postpartum depression nationwide; however, many believe the condition to be widely underreported, in part due to inadequate screening and stigma associated with the condition. Social support networks can help to prevent or mitigate symptoms related to postpartum depression. Single mothers tend to suffer from this condition at a higher rate than married women as they tend to have weaker social networks compared to married women. Objective The primary objective ws to determine whether gaps exist in mental health screening and whether digital screening tools can help to fill these gaps. The secondary objective ws to determine whether digitally delivered support proves to be more or less beneficial to subsets of women, namely based on their marital status. Methods A survey about mental health history, support, experience with mental health screeners, and characteristics of social networks was sent by email to users of the Ovia Fertility, Ovia Pregnancy, and Ovia Parenting mobile apps. Respondents were all 18 years of age or older and living in the United States. The study was granted exemption by our institutional review board. Results Of the 2016 respondents, 39% reported that they were never screened by their healthcare provider for mental health conditions (26% of women with children and 52% of women without children). Among women who reported never being screened by a healthcare provider, 17% reported that they have completed at least one of the screeners (PHQ-9 or Edinburgh Postnatal Depression Scale [EPDS]) in an Ovia mobile app. Of the 2016 respondents, 86% reported being married or in a domestic partnership. Among the single respondents, 32% reported either having children, being pregnant, or currently trying to conceive. More single women who have children, are pregnant, or are actively trying to conceive reported that they would feel most supported by a mobile appl (namely, one of Ovia Health’s three mobile apps) and to seek treatment for mental health concerns compared to married women (19% compared to 14% of married women; P=.03). Additionally, single women who have children, are pregnant, or are actively trying to conceive reported more often than married women that they feel their mental health is best supported by a mobile appl (16% compared to 10% of married women; P=.007). However, both groups of women selected their healthcare provider and their friends/family as the first and second ranking support systems for both seeking mental health treatment and for mental health related support, with the mobile app ranking last. Conclusions Screening for mental health conditions during the reproductive health journey is lacking. Digital solutions that deliver clinically validated screening tools help to screen women who are missed in a clinical setting. Women who report being single throughout parenting, pregnancy, or while trying to conceive find more value in mobile app–provided mental health support compared to married women. These findings highlight two gaps that digital technologies, like Ovia Health, can fill: low mental health screening rates during reproductive years and suboptimal social systems.

Multipurpose Mobile Apps for Mental Health in Chinese App Stores: Content Analysis and Quality Evaluation (Preprint)

2021 ◽  
Author(s):  
Xiaoqian Wu ◽  
Lin Xu ◽  
PengFei Li ◽  
TingTing Tang ◽  
Cheng Huang
Keyword(s):  
Mental Health ◽  
Rating Scale ◽  
Mobile Apps ◽  
Scientific Basis ◽  
Mobile App ◽  
Security Measures ◽  
Privacy And Security ◽  
Health Apps ◽  
Mental Health Awareness ◽  
Privacy Measures

BACKGROUND Mental disorders impose varying degrees of burden on patients and their surroundings. However, people are reluctant to take the initiative to seek mental health services because of the uneven distribution of resources and stigmatization. Thus, mobile apps are considered an effective way to eliminate these obstacles and improve mental health awareness. OBJECTIVE This study aimed to evaluate the quality, function, privacy measures, and evidence-based and professional background of multipurpose mental health apps in Chinese commercial app stores. METHODS A systematic search was conducted on iOS and Android platforms in China to identify multipurpose mental health apps. Two independent reviewers evaluated the identified mobile apps using Mobile App Rating Scale (MARS). Each app was downloaded, and the general characteristics, privacy and security measures, development background, and functional characteristics of each app were evaluated. RESULTS A total of 40 apps were analyzed, of which 35 apps (87.5%) were developed by companies and 33 apps (82.5%) provided links to access the privacy policy; 52.5% did not mention the involvement of relevant professionals or the guidance of scientific basis in the app development process. The main built-in functions of these apps include psychological education (38/40, 95%), self-assessment (34/40, 85%), and counseling (33/40, 83%). The overall quality average MARS score of the 40 apps was 3.53 (standard deviation 0.39), and the total score was between 2.96 and 4.30. The total score of MARS was significantly positively correlated with the scores of each subscale (r = 0.62–0.88; P <.001). However, the user score of the app market was not significantly correlated with the total score of MARS (r = 0.23; P =.19). CONCLUSIONS The quality of multipurpose mental health apps in China’s main app market is generally good and provides various functional combinations. However, health professionals are less involved in the development of these apps, and the privacy protection policy of the apps also needs to be described in more detail. This study provides a reference for the development of multipurpose mental health apps.

scholarly journals Net Neutrality and Mobile App Innovation in Denmark and Netherlands 2010–2016

2018 ◽  
Vol 17 (3) ◽  
pp. 207-224
Author(s):  
Roslyn Layton
Keyword(s):  
Mobile Networks ◽  
Mobile Apps ◽  
Self Regulation ◽  
Mobile App ◽  
Net Neutrality ◽  
The European Union ◽  
App Development ◽  
The Us ◽  
Before And After ◽  
The Impact

Abstract Net neutrality or “Open Internet” rulemaking has been ongoing for more than a decade. Some 50 nations have adopted formal rules including the US (then repealed), the European Union, India, and many countries in Latin America. Among other arguments, it is asserted that net neutrality rules are necessary for application innovation. While the focus for policymakers has largely been to make rules, there is less attention on how to measure the impact of such rules and how well they achieve their innovation goals. The article summaries a specific research investigation to what degree the introduction of rules in a given country stimulates innovation in that country’s mobile app ecosystem. The focus in on mobile networks because it allowed the most consistent data across countries. The study covered 53 countries, their net neutrality policies (or lack thereof), and the results to the respective mobile application ecosystems of the countries adopting rules between the period of 2010–2016. This investigation tests the proposition that countries which adopt net neutrality rules should experience an increase in mobile app development innovation within their national economy. To test this, a statistical methodology was developed based upon measuring the number of locally developed mobile apps in the country for relevant periods before and after rules are imposed and the corresponding app downloads, usage, and revenue. Measurement was conducted with two independent toolsets and adjusted for the sophistication and penetration of advanced mobile networks in the country. To make more meaningful comparisons and avoid inevitable heterogeneity across the countries, the investigation focuses on two similar countries with different rules, Denmark with soft rules (self-regulation) and Netherlands with hard rules (legislation). The study reviewed the leading theories of innovation as well as the foundational papers in net neutrality to explain the observed discrepancies. The research finds significant statistical support for “soft” net neutrality measures adopted on a voluntary basis. Hard rules adopted through legislation and regulation were not associated with greater mobile app development for the given country. Denmark increased in local mobile app development while Netherlands decreased. Additionally, the explosion of mobile apps from countries with no net neutrality rules and the general dearth of mobile apps from countries which have had hard rules for years runs counter to expected results. This suggests that policymakers revisit their assumptions and expectations for net neutrality policy.

scholarly journals A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study (Preprint)

2018 ◽  
Author(s):  
Leming Zhou ◽  
Bambang Parmanto ◽  
Zakiy Alfikri ◽  
Jie Bao
Keyword(s):  
Access Control ◽  
Mobile Apps ◽  
Health Data ◽  
Mobile App ◽  
Security And Privacy ◽  
Personal Health ◽  
Security Measures ◽  
Security Education ◽  
Study Results ◽  
Before And After

BACKGROUND On many websites and mobile apps for personal health data collection and management, there are security features and privacy policies available for users. Users sometimes are given an opportunity to make selections in a security setting page; however, it is challenging to make informed selections in these settings for users who do not have much education in information security as they may not precisely know the meaning of certain terms mentioned in the privacy policy or understand the consequences of their selections in the security and privacy settings. OBJECTIVE The aim of this study was to demonstrate several commonly used security features such as encryption, user authentication, and access control in a mobile app and to determine whether this brief security education is effective in encouraging users to choose stronger security measures to protect their personal health data. METHODS A mobile app named SecSim (Security Simulator) was created to demonstrate the consequences of choosing different options in security settings. A group of study participants was recruited to conduct the study. These participants were asked to make selections in the security settings before and after they viewed the consequences of security features. At the end of the study, a brief interview was conducted to determine the reason for their selections in the security settings. Their selections before and after the security education were compared in order to determine the effectiveness of the security education. The usability of the app was also evaluated. RESULTS In total, 66 participants finished the study and provided their answers in the app and during a brief interview. The comparison between the pre- and postsecurity education selection in security settings indicated that 21% (14/66) to 32% (21/66) participants chose a stronger security measure in text encryption, access control, and image encryption; 0% (0/66) to 2% (1/66) participants chose a weaker measure in these 3 security features; and the remainder kept their original selections. Several demographic characteristics such as marital status, years of experience using mobile devices, income, employment, and health status showed an impact on the setting changes. The usability of the app was good. CONCLUSIONS The study results indicate that a significant percentage of users (21%-32%) need guidance to make informed selection in security settings. If websites and mobile apps can provide embedded security education for users to understand the consequences of their security feature selection and the meaning of commonly used security features, it may help users to make the best choices in terms of security settings. Our mobile app, SecSim, offers a unique approach for mobile app users to understand commonly used security features. This app may be incorporated into other apps or be used before users make selections in their security settings.

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