Portable AI Assistants!! Part 2: Initial Ideation and Requirements.

AI Assistants !! Are we ready for this or is this a Cash grab? Part 2

Considerations of the output for a first iteration

This is the continuation of Part 1 Portable AI Assistants! Are we ready for this or is this a Cash grab?. What is the starting point for ideation for the development of a standalone AI Assistant device or smartphone App. The employment of a product development framework or New Product Development (NPD) Process, (this is not standardized and varies by organization structure, industry, and maturity), might be used and the most common steps are:

• Ideas: Come up with ideas for a new product or an iteration of an existing product. Gather all the Product team and brainstorm ideas.
• Product Research: Once companies have an idea for a product, they need to validate it with the target customer. Listen to potential customers and collect customer insights through surveys, support tickets, reports, and more.
• Market research: How producers and the marketplace study the consumer and gather information about the consumers’ needs. There are two major types of market research: primary research, which is sub-divided into quantitative and qualitative research, and secondary research
• Prototyping: Multiple iteration prior to brainstorm ideas then creates a prototype of a practical finished product that potential customers can use.
• Planning: It is essential to plan for the long-term of the company’s product before building a final  prototype.
• Product managers envision product design, start conversations with manufacturers and suppliers, and consider prices. (depends on stage and purpose of prototype)
• Sourcing: Ensure vital strategic partners, vendors, and suppliers are needed to produce the product.
• Cost calculation: Once the product is produced, and the actual data is available, a Product manager can estimate future costs and optimize processes and materials to reduce costs.

Some of the possible outputs are written below this is non exhaustive think of this as a strawman or a first look at the problem statement.

Software Requirements\ Features

What would be the requirements\ features for an AI assistant as an independent device as a standalone device or through the use of a smartphone. This is throwing stuff at the wall and hoping its sticks especially if you have no inspiration or user research but you have Tech or financial assets:

1. Portable Brain/Personal AI:

   – Organize, index, retrieve, and manage files, social media interactions, emails, and subscriptions.

   – Index music library, subscription services, and playlists.

   – Support verbal and social interactions with customizable AI personas.

   – Act as an interactive personal assistant.

   – Serve as a universal translator.

   – Cloud connectivity for seamless access and synchronization.

   – Integration with existing AI assistants like Alexa, Google Assistant, and Siri.

2. Crypto Mining App:

   – Mine a new type of cryptocurrency optimized for mobile devices.

   – Utilize unused data for payment plans.

3. Video Group Chat:

   – Enable video group chat with nascent hologram capabilities.

4. Music/Video Library Replacement:

   – Provide hi-resolution audio and video playback.

   – Support offline downloads for services like Netflix.

5. File Backup and Indexing:

   – Backup desktop files, bookmarks, and social media data.

   – Visualize interests and interactions through indexed data.

6. Game/App Developer SDK:

   – Offer a software development kit for game and app development.

7. Interactive Features:

• Gaming Integration: Support plug-in gaming with real-life controllers. Enable portable gaming with gesture control.
• Social media Connectivity: Integration with social media and Meta
• Virtual Avatar Creation: Create a mobile avatar based on user’s preferences and interactions. Interact with real and virtual environments.
• Voice Interaction and Recording: Record voice commands and interactions. Retrieve results from personal index or internet.
• Daily Interaction Recording: Passively record daily interactions for review and sharing.  Overlay virtual interactions and social media content.
• Exercise Equipment Integration: Dock with exercise equipment for tracking and visualizing workouts. Provide virtual routes for activities like jogging, rowing, or cycling.
• Augmented Reality (AR) Games: Integrate with AR devices for immersive gaming experiences. Support augmented overlay for real-life participation.

8.  Integration with Augmented Reality Glasses: as a portable devise that plugs into AR glasses to enhance usability and portability

• Researchers at Stanford University have developed a prototype augmented reality headset that leverages holographic imaging to overlay full-colour, 3D moving images directly onto the lenses of what appears to be an ordinary pair of glasses.
• Unlike bulky headsets commonly used in AR systems, this new approach delivers a visually satisfying 3D viewing experience in a compact, comfortable, and attractive form factor suitable for all-day wear.

Key features of this integration:

• Compact Form Factor: The headset looks like regular glasses to the outside world.
• Enriched World: What the wearer sees through the lenses is an enriched world overlaid with vibrant, full-colour 3D computed imagery.
• Technical Breakthroughs:
• AI-Enhanced Holographic Imaging: The combination of artificial intelligence (AI) and holography enables high-quality 3D imagery without complex optical systems.
• Nanophotonic Device Approaches: New nanophotonic devices help overcome engineering challenges.  Potential applications include fields such as gaming, entertainment, training, education, surgery planning, and complex mechanical work.

Usability and Ergonomics

A well-designed portable AI assistant prioritizes both usability and user comfort, when designing a portable AI assistant, considering usability and ergonomic requirements is crucial to ensure a seamless user experience.

1. Usability Requirements:
   • Efficient Interaction: The AI assistant should minimize cognitive load and streamline interactions. Developers should be able to achieve tasks with minimal effort, reducing keystrokes and repetitive actions
   • Output Quality: Generated code or responses should meet functional and non-functional requirements. Developers need confidence that the output aligns with project goals and coding standards
   • Debuggability: Developers should be able to comprehend and debug the generated code. Clear explanations, proper indentation, and adherence to coding conventions enhance debuggability.
   • Context Awareness: The AI assistant should understand context (e.g., project domain, existing codebase) to provide relevant suggestions. Context-awareness improves usability.
   • Customization: Developers may have preferences for coding style, libraries, or frameworks. Allowing customization ensures the AI adapts to individual needs
   • Error Handling: When the AI generates incorrect code, it should provide informative error messages. Developers need guidance on how to correct issues
2. Ergonomic Requirements:
   • Form Factor: The physical design of the portable device matters. It should be lightweight, comfortable to hold, and easy to carry. Ergonomic shapes prevent strain during prolonged use
   • Display: The screen should be clear, high-resolution, and glare-resistant. Adjustable brightness and font size accommodate different lighting conditions and user preferences
   • Input Mechanism: Consider touchscreens, physical buttons, or voice input. Ergonomic placement of controls ensures ease of use without causing discomfort
   • Battery Life: A long-lasting battery minimizes interruptions. Users shouldn’t worry about frequent recharging during critical tasks
   • Connectivity: Seamless Wi-Fi, Bluetooth, and network connectivity enhance usability. Users should effortlessly sync data and access cloud services
   • Heat Dissipation: Efficient heat management prevents discomfort during extended usage. Overheating can affect user experience and safety
   • Audio Output: Clear speakers or headphone jacks allow users to receive verbal feedback or listen to music without straining
   • Wearable Integration: If the device integrates with wearables (e.g., AR glasses), ensure compatibility and comfort during simultaneous use

User-centric requirements.

A user-centric AI Assistant should prioritize ease of use, personalization, privacy, and efficient task execution to enhance the overall user experience. These requirements focus on creating a seamless and efficient experience for users it will overlap with the ergonomics and usability above:

Effortless Interaction: Requirement: Users expect natural and intuitive interactions with the AI Assistant. Solution: The assistant should understand spoken language, text input, and gestures. It must respond promptly and accurately to user queries.

Context Awareness: Requirement: Users want the assistant to remember context across interactions. Solution: Implement thread management to maintain context. The assistant should recall previous messages, user history, and ongoing tasks.

Customization and Personalization: Requirement: Users have unique preferences and needs. Solution: Allow customization, such as preferred language, tone, and interaction style. Personalize responses based on user behaviour and history.

Transparent Data Usage and Privacy: Requirement: Users care about data privacy. Solution: Clearly inform users about data collection, usage, and retention. Obtain explicit consent for location tracking and other sensitive information.

Seamless Integration with Existing Tools and Services: Requirement: Users want the assistant to work seamlessly with other tools they use. Solution: Integrate with existing APIs, databases, and services. Enable file uploads (e.g., CSV, TXT, PDF) for comprehensive solutions.

Efficient Transaction Execution: Requirement: Users seek end-to-end solutions, including transactional tasks. Solution: The assistant should orchestrate complex tasks (e.g., settling payments, retrieving account details) seamlessly. It must execute transactions promptly.

Adaptive Learning and Improvement: Requirement: Users expect the assistant to learn and improve over time. Solution: Implement machine learning models to adapt to user behaviour, refine responses, and enhance accuracy.

Clear and Informative Responses: Requirement: Users want concise, relevant, and informative answers. Solution: The assistant should avoid jargon, provide explanations, and offer additional resources when needed.

Availability and Responsiveness: Requirement: Users need timely assistance. Solution: Ensure the assistant is available 24/7 and responds promptly. Minimize wait times during interactions.

Error Handling and Recovery: Requirement: Users encounter errors or misunderstandings. Solution: The assistant should gracefully handle errors, provide helpful suggestions, and recover from unexpected situations

Hardware Features:

Sensors, Camera, and Calibration: Requirements: High-resolution camera for image recognition, augmented reality, and video
calls. Multiple sensors (accelerometer, gyroscope, magnetometer) for motion tracking, orientation, and context awareness. Calibration algorithms to ensure accurate sensor data. Novel Solution: Implement depth-sensing cameras (such as LiDAR) for improved object detection and 3D mapping.

Memory: Requirements: Offer storage capacity exceeding XXXXTB (where XXXXTB represents a large storage capacity). Act as a backup for music, videos, and files (this could be the cloud?). Novel Solution: Explore non-volatile memory technologies like MRAM (Magnetoresistive RAM) for faster access and lower power consumption.

Operating System Support: Requirements: Support multiple operating systems (e.g., Android, iOS, Linux). Novel Solution: Develop a lightweight, customizable OS optimized for AI tasks, ensuring seamless integration with existing platforms.

Gaming Options: Requirements: Enable gaming experiences (both casual and immersive) on the AI assistant. Novel Solution: Collaborate with game developers to create AI-enhanced games specifically tailored for the assistant’s capabilities.

Display Connectivity: Requirements: Connect to external screens or include and integrated projector. Novel Solution: Integrate holographic
displays for 3D visualizations and immersive experiences.

Keyboard Options: Requirements: Include onboard keyboard, laser projection keyboard, or foldable/rollup keyboard. Novel Solution: Explore brain-computer interfaces (BCIs) for typing without physical keyboards.

Wireless Controllers: Requirements: Support virtual wireless game controllers. Novel Solution: Implement gesture-based control using sensors (e.g., hand gestures for navigation).

Connectivity: Requirements: Include Wi-Fi, Bluetooth, and network connectivity. Novel Solution: Leverage 5G networks for low-latency communication and seamless cloud integration.

Battery Life and Charging: Requirements: Provide a large battery for extended usage. Novel Solution: Investigate energy harvesting techniques (solar, kinetic, thermal) to supplement battery life.

Processing Power: Requirements: Include a high-performance processor and RAM for multitasking. Novel Solution: Utilize neuromorphic chips or quantum computing for AI-specific tasks.

Output Ports: Requirements: Include HDMI out for external display connectivity. Novel Solution: Explore wireless display technologies (e.g., Wi-Fi Direct) to eliminate physical ports.

Summary: The future of Portable AI assistants

In summary, the future of portable AI assistants holds immense promise, combining technological advancements, user-centric design, and seamless integration across devices. This post was written as so that a current product designer can choose a pathway for enhanced smartphones or standalone devices.

1. The Promising Future of Portable AI Assistants:
   • As AI technology continues to advance, we can expect even more intuitive, context-aware, and emotionally intelligent portable AI assistants.
   • These future devices will seamlessly integrate into every aspect of our lives, enhancing productivity, convenience, and personalized experiences
   • Key trends for the future include:
     • Seamless Integration: AI assistants will work seamlessly across various platforms and devices, from smartphones to smart speakers and even augmented reality (AR) glasses.
     • Emotional Intelligence: AI assistants will better understand and respond to human emotions, making interactions more empathetic and personalized.
     • Context-Awareness: Devices will adapt to user context, providing relevant information based on location, preferences, and activities.
     • Expanded Capabilities: AI assistants will handle more complex tasks, such as managing schedules, predicting needs, and proactively assisting users.
     • Enhanced Privacy and Security: Future devices will prioritize user privacy and data protection while delivering personalized services
2. Smarter Phones and Foldable Devices:
   • Phones are evolving into capable personal assistants. AI-fuelled features will make them smarter, allowing for personalized recommendations, context-aware actions, and improved user experiences.
   • Foldable phones, with clever design improvements, are inching closer to their breakout moment. These flexible devices will offer new ways to interact with AI assistants and consume content.

Appendices

Case study Gaming: Using AI and current technology to improve Pokémon Go or a similar interactive AR game

A. Pokémon Go (stylized as Pokémon GO Pokémon GO)

Is a 2016 augmented reality (AR) mobile game, part of the Pokémon franchise, developed and published by Niantic in collaboration with Nintendo and The Pokémon Company for iOS and Android devices. It uses mobile devices with GPS to locate, capture, train, and battle virtual Pokémon, which appear as if they are in the player’s real-world location. The game is free-to-play; it uses a freemium business model combined with local advertising and supports in-app purchases for additional in-game items. The game launched with around 150 species of Pokémon, which had increased to around 700 by 2021.

Pokémon Go was released to mixed reviews; critics praised the concept but criticized technical problems. It was one of the most used and profitable mobile apps in 2016, having been downloaded more than 500 million times worldwide by the end of the year. It is credited with popularizing location-based and AR technology, promoting physical activity, and helping local businesses grow due to escalated foot traffic. However, it attracted controversy for contributing to accidents and creating public nuisances. Various governments expressed concerns about security, and some countries regulate its use. The game had over 147 million monthly active users by May 2018, over a billion global downloads by early 2019, and grossed more than $6 billion in revenue by 2020

Source Wikipedia:  Pokémon GO

B. The new and Improved AI Assited Game

What if you recreate Pokémon Go or a similar game with the current knowledge and deployment of AI inclusive of ideas discussed in this blog with the usability such as AR glasses, standalone AI devices or smartphone, improved GPs, Virtual 3d, 5G, group play, Meta and novel ideas. Including real and virtual prizes (Crypto currency, Crypto ART and NFTs).  This enhanced Pokémon Go could blend the virtual and real worlds, creating an exciting and socially engaging experience for players.

Here are some of the features and requirements for this futuristic Pokémon Go or similar experience:

Features:

1. Advanced Augmented Reality (AR):
   • Pokémon appear seamlessly integrated into the real world through AR glasses or smartphone screens.
   • Realistic animations, shadows, and interactions make Pokémon feel truly present.
2. Improved GPS and Location Accuracy:
   • Utilize high-precision GPS for accurate positioning of Pokémon and PokéStops.
   • Leverage 5G networks for low-latency communication and faster data updates.
3. Virtual 3D Battles:
   • Engage in dynamic 3D battles with other players or AI-controlled trainers.
   • Real-time animations, dodging, and special moves create immersive combat experiences.
4. Group Play and Raids:
   • Form teams with nearby players to battle powerful Legendary Pokémon.
   • Coordinate strategies, share resources, and defeat raid bosses together.
5. Meta Integration:
   • Integrate with Meta’s AI assistant for personalized tips, battle strategies, and location recommendations.
   • Meta’s holographic displays enhance the AR experience.
6. Crypto Prizes and NFTs:
   • Earn crypto rewards (PokéCoins) for achievements, gym control, and successful raids.
   • Collect Pokémon-themed NFTs (Non-Fungible Tokens) as rare digital assets.
7. Dynamic Weather and Seasons:
   • Pokémon behaviour changes based on real-world weather conditions (e.g., water Pokémon during rain).
   • Seasonal events introduce unique Pokémon spawns and challenges.
8. Real and Virtual Prizes:
   • Local businesses sponsor PokéStops and Gyms, offering discounts or exclusive items.
   • Virtual events with real-world prizes (e.g., Pokémon merchandise, travel vouchers).
9. AI Gaming companion: Envision an advanced AI gaming companion for the Pokémon Go \ similar game, combining the latest AI technologies and enhancing the player experience. AI Gaming Companion Features:

Smart AI Pokémon Recommendations:

1. The AI companion analyses your Pokémon collection, battle history, and upcoming raids.It suggests optimal Pokémon lineups based on type advantages, move sets, and opponent weaknesses.
2. Real-Time Battle Strategies: During battles, the AI provides real-time advice on dodging, timing charged moves, and switching Pokémon. It predicts opponent moves and recommends counters.
3. Raid Coordination and Notifications: The companion alerts you when nearby raids start or when Legendary Pokémon appear. It helps coordinate raid groups by suggesting optimal team compositions and timing.
4. PokéStop and Gym Navigation: The AI guides you to nearby PokéStops and Gyms using AR overlays or voice directions. It highlights hidden gems and lesser-known landmarks.
5. Community Event Reminders: The companion notifies you about Community Days, special events, and limited-time spawns. It suggests optimal locations for event participation.
6. Pokémon Tracking and Rarity Alerts: The AI tracks rare Pokémon spawns and notifies you when they appear nearby. It helps you prioritize catching elusive Pokémon.
7. Advanced AR Interactions: The companion enhances AR interactions by making Pokémon react to real-world elements (e.g., weather, time of day). It creates hyper-realistic Pokémon encounters¹.
8. Personalized Challenges and Goals: Based on your playstyle, the AI sets personalized goals (e.g., catch a specific shiny, complete a Pokédex region). It celebrates achievements and milestones.
9. Data Insights and Analytics: The companion provides analytics on your gameplay, such as catch rates, battle win ratios, and walking distance. It suggests areas for improvement.
10. Social Integration and Meet-Ups: Connect with other players through the companion app. Organize local meet-ups, trade Pokémon, and share tips.

Requirements:

1. AR Glasses or High-End Smartphones:
   • AR glasses with built-in cameras and displays for immersive Pokémon interactions.
   • Alternatively, smartphones with powerful processors, large screens, and AR capabilities.
2. Advanced AI Models for Pokémon Behaviour:
   • Train AI models to simulate Pokémon behaviour (movement, interactions, battles).
   • Use reinforcement learning for adaptive Pokémon responses.
3. High-Resolution Maps and Landmarks:
   • Collaborate with local communities to update and verify landmarks (PokéStops, Gyms).
   • Use ML models to detect low-quality submissions and prevent abuse.
4. Secure Blockchain Integration for Crypto Rewards and NFTs:
   • Implement secure blockchain technology for transparent rewards and NFT ownership.
   • Ensure scalability and low transaction fees.
5. Collaboration with Local Businesses:
   • Partner with businesses to sponsor in-game locations.
   • Offer location-based promotions and incentives.
6. Data Privacy and User Consent:
   • Obtain explicit consent for location tracking and data usage.
   • Protect user privacy while providing personalized experiences.
7. Community Engagement and Events:
   • Organize real-world Pokémon GO events (festivals, tournaments, community days).
   • Encourage physical activity and social interaction.
8. AI Gaming companion Requirements:
9. AI Model Training: Train the AI on historical Pokémon Go data, including battle outcomes, spawn rates, and player behaviour.
10. High-Performance Hardware: Run the AI companion on powerful smartphones or AR glasses. Ensure low latency for real-time interactions.
11. Privacy and User Consent: Obtain user consent for location tracking and data usage. Protect user privacy while providing personalized recommendations.
12. Integration with Pokémon Go API: Access game data (Pokémon stats, moves, spawn locations) through official APIs. Ensure compliance with Niantic’s terms of use.
13. Community Engagement and Feedback Loop: Collect feedback from users to improve the AI companion. Adapt to changing game dynamics and events.