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What is the Moon Platform?

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Moon Platform is an advanced, multi-disciplinary architecture designed to meticulously monitor and assess the impact of smartphone applications on the cognitive capabilities of children and teenagers. Utilising state-of-the-art proprietary technologies, including deep learning, machine learning, and Human Intelligence Moon Platform serves as a guiding light for the digital era, illuminating the often-hidden effects of excessive screen time on young minds.

Our platform provides a comprehensive analysis of the cognitive impact through precise metrics, empowering parents with actionable insights and recommendations. Moon Platform not only quantifies the influence of various applications but also offers tailored guidance on managing screen time, selecting appropriate apps, and addressing potential digital incidents. By leveraging cutting-edge technology, Moon Platform is dedicated to fostering a balanced, healthy digital experience for the next generation, ensuring they thrive in an increasingly connected world.

Inspiration

The inspiration for this project come from a few years back, when I was enjoying a beautiful sunset with my older daughter at Gisborne after a light jogging, and it is a very special sunset due the geographic position of the beach where you have the impression of the sun going down over the sea and we are talking about an east coast beach, so only this fact is already unique, isn’t it?


Anyways, barefoot on the sand, feeling the temperature dropping quickly, bird calls in the trees are so loud that compete with the waves sound, the wind now blows from the land to the sea, the sky color changing from blue to yellow, orange, and many other colour spectrums in between that I can’t count or name it properly even using the Pantone colour palette.
That was the moment we heard a couple filming the sunset with a cellphone having a conversation, the woman asked:


-       Did you finish recording?


The man responded:


-       Yes, I can’t wait to get back home and watch it in our 4K TV.

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My first thought was: When the reality became boring at this level? What is blocking us from seeing the real world? They have just missed the chance of enjoying the “5D” sunset experience, watching all different red colours coming up, feeling your eyes adapting to a different light set, feeling the wind changes, the temperature going down, I am sorry, you will not have that on 4K!

 

Smartphones connected to the internet are blocking people from seeing the world with their own eyes. Moreover, social media applications are playing a debatable game by studying and analszing what we do online and how to make more profit from us; offerings, notifications, and many other tools that are used to keep us busy online and without noticing it, we end up being manipulated by these mega corporations.

 

All this happens with our permission when we click on: “I accept”. With the excuse of providing a better user experience, we give up our privacy in exchange for becoming part of these social platforms, remember, we are not a client for these companies, we are their product.

 

Just like in the movie “The Matrix”, the lead character Neo was given the option of taking a red pill, which would enable him to leave the shadows and start living a real life out of the matrix. Morpheus also offered a blue pill which would make Neo return to his illusion.

 

By accepting the terms and services of these platforms, we are taking the blue pill in which will put us into an made-up illusion life where everything that interact with us is controlled by an organisation and not by you or me, and that’s where the problems begin, because recent studies show that adults are getting addicted to these internet connected applications with the same impact of any other drugs, leading us to depression, high anxiety, violence, and introspection.

 

If that’s not enough, it is even worse for kids and teenagers, due the fact that they are still developing their cognitive capabilities, these apps are turning the new generation into less capable adults, which superficial thoughts, narcissist, and intolerant behavior, restricting them from unleashing their full cognitive potential and making them afraid of the reality.

 

In a survey done with teenagers in 2022 had the following question: If you had the chance to see your favourite artist playing live, how would you prefer to watch it? At home in a 4K TV with the last generation surround sound system or live at a stadium nearby? 53% of the students responded that they would prefer to watch it at home.

 

Back to the beach I’ve asked my daughter how would she prefer to see the sunset?

 

She responded that as long as we can have pizza, she would prefer to stay at the beach.

 

And what about you: In your life, would you prefer to take the red or the blue pill?

Treny Scale: The Core of Moon Platform

The heart of the Moon Platform is the Treny Scale, a system named after "Treny," my daughter's invisible friend from her childhood. The inspiration behind this name is deeply personal, as my daughter was a victim of serious incidents involving smartphones, an experience that has left an indelible mark on our lives, I've decided that as a parent who has faced such a harrowing event, I am committed to doing everything in my power to ensure no other parent has to endure what I have gone through.

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The Science Behind the Treny Scale

The Treny Scale is a scientifically designed system to measure the cognitive impact experienced by children and teenagers due to the overuse of smartphone applications. It evaluates the effect of prolonged smartphone usage on various domains of cognition, including Perceptual-Motor Skills, Executive Functioning, Complex Attention, Learning and Memory, Language, and Social Cognition. Each domain is assessed using specific metrics to provide a comprehensive understanding of how these applications influence cognitive development.

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The Treny Scale employs a rigorous scientific methodology to evaluate the cognitive load imposed by smartphone applications. Each metric is rated on a scale of 1 to 10, with higher scores indicating greater negative impact. These ratings are then aggregated to provide an overall score for each cognitive domain.

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Impact Level
Examples
Description
Extremely addictive gaming and social networking apps that encourage many hours of continuous daily engagement, apps that promote multitasking with rapid switching between tasks leading to decreased productivity and increased cognitive load.
Apps at this level are those with severe negative impacts on cognitive and social functioning. They significantly impair attention, learning, and memory, and might lead to behavioural issues. Usage of these apps is often characterised by addiction-like symptoms.
Highly addictive video games and social media apps that encourage prolonged use, apps with constant notifications that disrupt ongoing tasks.
These applications have substantial negative effects on cognitive functions, including decreased attention spans, disrupted sleep patterns due to prolonged use at night, and reduced face-to-face social interactions.
Mainstream social media platforms, competitive online games that can be distracting but also improve reaction times and strategic thinking.
Apps in this category begin to show more pronounced negative effects on cognitive functions such as reduced attention span and distractibility. However, impacts might still be managed with strict usage limits and parental controls.
Social media apps with educational content, productivity apps with built-in breaks and usage limits.
These applications have a slight negative impact on cognitive functions but may also offer some benefits. The negative effects are not significant and can be mitigated through controlled and mindful usage.
Educational apps that improve language skills, math-solving apps, meditation and mindfulness apps.
Apps at this level have either no noticeable negative cognitive impact or may even enhance cognitive abilities. These applications typically include educational tools, brain-training games, and apps designed to promote mental health and well-being.

The Treny Scale is an essential tool for understanding and mitigating the risks associated with the overuse of smartphone applications by young people. By quantifying the cognitive impact, it helps parents, educators, and policymakers make informed decisions to protect the mental health and cognitive development of children and teenagers. This initiative aims to create a safer digital environment, ensuring that the next generation can enjoy the benefits of technology without compromising their well-being.

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Platform Architecture

The follow diagram depicts the information flow within the Moon Platform, a system designed to assess and analyse the cognitive impact of smartphone applications on children and teenagers.

Here is a detailed description of each step in the information flow:

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Upload Form

Input Mechanism: Users upload forms or relevant data through a secure web interface.

Data Formats: Supports multiple formats, including JSON, CSV, XML, and text files.

Security: Data is encrypted during transmission using TLS to ensure confidentiality and integrity.

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Data Validation

Data Preparation

Data Validation:
Schema Validation: Ensures that incoming data adheres to predefined schemas.
Consistency Checks: Validates the consistency of data entries.
Anomaly Detection: Uses statistical methods to detect outliers and anomalies in the data.


Data Preparation:
Normalisation: Converts data into a common format for uniform analysis.
Data Cleaning: Removes duplicates, fills missing values, and corrects data errors.
Feature Extraction: Identifies and extracts relevant features for analysis, such as usage duration, frequency, and activity types.

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Data Virtualisation

Data Abstraction Layer: Creates virtual representations of the data to facilitate easy access and manipulation.

 

Integration: Integrates with various data sources, including cloud storage (e.g., AWS S3, Google Cloud Storage) and on-premises databases.

 

Real-time Access: Provides real-time access to data without the need for physical data replication.

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Platform Input

Data Ingestion Framework

Batch Processing: Periodically processes large volumes of data.

Stream Processing: Handles real-time data streams using technologies like Apache Kafka or AWS Kinesis.

Data Pipelines: Automated ETL (Extract, Transform, Load) pipelines are used to move data from ingestion to storage.

Information Flow

Form Upload

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Data Validation Data Preparation

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Automated Simulators

Machine Learning
Deep Learning

Historical Database

Cognitive Research

Moon Platform

Advisory Services

Recycle / Refinement

Cognitive Impact Analysis

Cognitive Insights Report

Screen Time Assessment

Data Virtualisation

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Platform Input

At the core, we have the Moon Platform, which is detailed as follows:

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Moon Platform

Cognitive Research


Automated Simulation:


Simulation Models: Uses cognitive simulation models to mimic real-world usage scenarios.
Scenario Testing: Evaluates different usage scenarios to predict cognitive impacts.


Machine Learning and Deep Learning:


Algorithm Selection: Utilises algorithms such as neural networks, random forests, and gradient boosting machines.
Training and Validation: Models are trained using historical data and validated using cross-validation techniques.
Hyperparameter Tuning: Optimises model parameters to improve prediction accuracy.


Historical Database:


Data Storage: Stores historical data in scalable, distributed databases (e.g., Apache Cassandra, MongoDB).
Data Retrieval: Efficient querying and retrieval of historical data for model training and analysis.

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Advisory Services

Interpretation of Data:


Data Analytics: Advanced analytics techniques (e.g., regression analysis, clustering) are used to interpret data.
Expert Insights: Domain experts provide qualitative insights to complement quantitative analysis.

 

Recommendations:
 

Personalised Advice: Generates personalized recommendations based on individual usage patterns.
Policy Formulation: Informs policy decisions and best practices for safe smartphone usage.

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Recycle 

Refinement

Continuous Improvement

Feedback Loop: Collects feedback from users and incorporates it into model refinement.


Incremental Learning: Models are continuously updated with new data to improve accuracy.


Error Analysis: Systematically analyzes prediction errors to identify and correct model weaknesses.

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Results

Report Generation:


Automated Reporting: Uses automated tools to generate comprehensive reports.
Visualisation: Employs data visualisation techniques (e.g., dashboards, graphs) to present insights clearly.

 

Cognitive Impact Analysis:


Domain-Specific Metrics: Evaluates impact across cognitive domains such as attention, memory, and social cognition.
Risk Assessment: Identifies high-risk applications and usage patterns.

 

Screen Time Assessment:
 

Age-Specific Recommendations: Provides screen time limits tailored to different age groups.
Evidence-Based Guidelines: Recommendations are based on empirical research and best practices.

Privacy Protection

The Moon Platform is dedicated to ensuring the highest level of user data privacy protection when analysing smartphone applications. The attached privacy policy documents provide detailed guidelines on how we evaluate potential privacy violations and inform users about the possible risks associated with using certain mobile phone applications.

Here is how the Moon Platform will work to protect user data privacy:

 

  • Data Collection and Minimization

    • Essential Data Only: The platform collects only the data necessary for cognitive impact analysis, such as basic account information (name, username, password, email address).

    • User Consent: Users are informed about the data collection process and must provide explicit consent before any data is gathered.

  • Data Encryption

    • In-Transit Encryption: All data transmitted between the user's device and the platform is encrypted using TLS (Transport Layer Security), ensuring confidentiality and integrity during transmission.

    • At-Rest Encryption: Data stored on the platform’s servers is encrypted using AES (Advanced Encryption Standard) to protect against unauthorised access.

  • Data Anonymisation and Pseudonymisation

    • Anonymisation: Personal identifiers are removed or masked, ensuring that data cannot be traced back to an individual without additional information kept separately.

    • Pseudonymisation: Data is processed in a way that it can no longer be attributed to a specific individual without the use of additional information, which is stored separately and securely.

  • Access Controls and Authentication

    • Role-Based Access Control (RBAC): Data access is restricted based on user roles within the organization, ensuring that only authorized personnel have access to sensitive information.

    • Multi-Factor Authentication (MFA): Users and administrators authenticate using multiple factors to ensure legitimate access to the platform.

  • Data Integrity and Auditing

    • Integrity Checks: Regular checks are performed to ensure that data has not been tampered with or altered.

    • Audit Logs: All access and data modifications are logged, with regular reviews to detect and respond to unauthorised activities.

  • User Control and Data Portability

    • Data Management: Users have full control over their data, including the ability to access, modify, and delete it.

    • Data Portability: Users can request their data in a portable format, enabling them to transfer it to another service.

  • Compliance with Privacy Regulations

    • GDPR Compliance: The platform adheres to the General Data Protection Regulation (GDPR) principles, ensuring data protection and privacy for users within the European Union.

    • CCPA Compliance: The platform complies with the California Consumer Privacy Act (CCPA), providing users with rights regarding their personal data collection and use.

  • Third-Party Data Sharing and Transparency

    • Limited Sharing: Data is shared with third parties only when necessary and under strict regulations. Third parties must comply with the platform's privacy standards.

    • Transparency Reports: Regular reports are published detailing data usage and sharing practices.

  • Regular Security Assessments and Updates

    • Security Audits: Regular audits are conducted to identify and address potential vulnerabilities.

    • Patch Management: The platform ensures timely updates and patches to protect against new threats.

Privacy Impact Levels

 

The follow privacy policy document outlines potential privacy exposure levels, which the Moon Platform uses to evaluate smartphone applications:

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