Biometric Human Interface Input for Adaptive User Interaction
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Solution Overview
Problem
Conventional Human Interface Devices (HIDs) lack advanced technologies to capture nuanced user interactions and adapt their behavior in real-time, limiting the potential for intuitive and responsive user experiences.
Innovation Solution
Intelligent HIDs are equipped with sensors to capture keystroke frequency, velocity, pressure, and aftertouch, and integrate AI models to analyze user interactions, enabling adaptive behavior and enhanced user experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional HIDs are used without AI integration, then device complexity is low, but adaptability to user behavior is poor
Solution Approach 1:
The HID transitions from a static device to a dynamic one by continuously monitoring user interactions and adapting its behavior in real-time. The device dynamically adjusts its operational characteristics based on detected user patterns, making the adaptability improvement while managing complexity through incremental adjustments rather than complete system redesign
Solution Approach 2:
The HID incorporates AI models that enable it to automatically analyze user behavior patterns and adjust its own operation without requiring external intervention. The device performs self-learning and self-adaptation, improving versatility while containing complexity growth through autonomous operation
2Measurement precision
If sensors and AI models are integrated into HIDs, then user interaction analysis capability is enhanced, but device complexity increases
Solution Approach 1:
The HID system is segmented into distinct functional modules: sensor components for data collection, AI model components for analysis, and control components for action execution. This modular segmentation allows each component to be optimized independently, enhancing measurement precision while managing overall device complexity through organized modularity
Solution Approach 2:
The integrated sensor and AI model system is designed to perform multiple functions: capturing various user interactions, analyzing different behavior patterns, and adapting to diverse user preferences. This multi-functionality approach improves measurement precision across multiple dimensions while containing complexity growth through shared processing infrastructure
3Loss of information
If HIDs transmit detailed sensor data to IHS, then information accuracy is high, but data transmission volume increases
Solution Approach 1:
The HID extracts only the essential and relevant features from raw sensor data before transmission to the IHS. By applying AI-based feature extraction, the device removes redundant information while preserving critical user interaction patterns, thereby maintaining information accuracy while significantly reducing data transmission volume
Solution Approach 2:
The HID transforms raw sensor data into processed parameters and features that capture the essential information content in a compressed form. By changing the data representation from raw sensor readings to meaningful behavioral parameters, the system preserves information accuracy while reducing the quantity of transmitted data
Data Source
AI summary
Systems and methods for intelligent Human Interface Devices (HIDs). In some embodiments, an HID may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the HID to: receive data from a sensor coupled to the processor; and transmit an indication of an input received by the processor to an Information Handling System (IHS) coupled to the HID in response to a determination, by the processor, that the data matches a biometric profile.