SenseAI: Your OS-Level Personal Assistant
Abstract
SenseAI is an innovative operating-system-level agent designed to simplify users’ daily interactions with their computers. It seamlessly integrates with installed applications, enabling users to perform routine tasks effortlessly through natural language commands. SenseAI revolutionizes everyday computer interactions by ensuring consistent performance, adaptability to new software, seamless communication between applications, robust security against threats, and ease of long-term maintenance.
Author
Name: Praneet Dhoolia
Student number: 47364417
Functionality
SenseAI delivers a dynamic user experience by automating repetitive tasks and interfacing directly with installed applications. Users communicate naturally, prompting SenseAI to execute actions across various applications.
Features of SenseAI:
- Natural Language Processing (NLP): Understands simple voice or text commands (e.g., “Email Alice,” “Schedule a meeting,” or “Open Spotify and play jazz music”).
- Application Integration: Works across productivity software, email clients, calendars, web browsers, and multimedia apps.
- Task Automation: Automates routine tasks such as managing emails, scheduling appointments, searching the web, and controlling media playback.
- Contextual Awareness: Retains context to handle follow-up commands smoothly.
- Security Controls: Protects user privacy by enforcing strict permissions and requiring explicit authorization for sensitive tasks.
- Extensible Plugin Architecture: Easily integrates additional software through plugins or modules.
Scope
The Minimum Viable Product (MVP) of SenseAI includes:
- Basic Natural Language Interpreter:
- Accurately parses structured natural language commands.
- Core Application Integration:
- Interacts with an email client, web browser, and calendar.
- Performs simple cross-application tasks (e.g., create calendar events directly from email content).
- Essential Security Model:
- User confirmation for sensitive actions.
- Modular Architecture:
- Plugin framework for adding new application integrations.
Quality Attributes
Reliability
SenseAI performs consistently without failures, accurately interpreting commands and completing tasks successfully. Users rely on dependable automation, making reliability a cornerstone attribute.
Extensibility
SenseAI can adapt to various scenarios by easily incorporating new features, software, and capabilities. This adaptability ensures long-term relevance and continued enhancement without extensive redevelopment.
Interoperability
SenseAI interacts fluidly across multiple applications, ensuring smooth data exchange and workflow integration. This seamless interaction is essential for a natural and intuitive user experience.
Security
Security protects user data and operations, ensuring SenseAI remains robust against unauthorized access and potential threats. Given the sensitivity of OS-level access, comprehensive security practices are essential.
Maintainability
SenseAI can be efficiently updated, fixed, and improved over its lifecycle. A maintainable design facilitates rapid response to bugs and feature requests, extending the system’s viability.
Evaluation
Evaluation criteria aligned with each quality attribute ensure robust and measurable success.
Reliability
- Functional Consistency: Repeatedly test common tasks and verify success rates (>98% successful executions).
- Fault-tolerance Tests: Introduce simulated application failures and verify graceful error handling without cascading system crashes.
Extensibility
- Plugin Integration Testing: Measuring time and effort needed to integrate new application plugins (target: successful integration within 3 working days).
- Interface Flexibility: Ensuring interfaces accommodate new functionality with minimal architectural adjustments.
Interoperability
- Cross-application Workflow Tests: Verifying smooth execution of tasks involving multiple applications without manual intervention (target: >95% success rate).
- Data Exchange Accuracy: Checking accurate and error-free data sharing between applications.
Security
- Penetration Testing: Regular vulnerability assessments using automated and manual penetration testing techniques.
- Access Control Testing: Simulated unauthorized access attempts to verify strict enforcement of permissions and user authorization.
Maintainability
- Change Implementation Efficiency: Quantifying the average time needed to implement minor updates or fixes (target: under 2 working days per minor update).
- Code Quality Reviews: Regular static analyses measuring readability, cohesion, and complexity, ensuring sustainable maintenance.
By adhering to this detailed evaluation plan, SenseAI aims to deliver a dependable, secure, and user-centric OS-level companion, significantly enhancing the daily computing experience.