AI Human Interface Input Processing for Adaptive HID Behavior
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Solution Overview
Problem
Conventional Human Interface Devices (HIDs) lack advanced interaction capabilities and fail to adapt to nuanced user behaviors, limiting the potential for intuitive and responsive user experiences.
Innovation Solution
Intelligent HIDs are equipped with sensors to capture user interactions like keystroke frequency, velocity, and pressure, and integrate AI models to analyze and adapt their behavior accordingly, enabling more nuanced responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI models are integrated into HIDs to process raw user input, then interaction capabilities and adaptability to user behavior are improved, but device complexity increases
Solution Approach 1:
The system segments AI processing into two parts: lightweight AI models executed locally within the HID for basic input processing, and more complex AI models executed in the cloud or on the host system. This segmentation allows the HID to provide adaptability without bearing the full complexity of sophisticated AI processing.
Solution Approach 2:
The patent introduces an intermediary communication layer between the HID and the host system for processing and transmitting processed user input. This intermediary structure enables the HID to function with integrated AI capabilities while managing complexity through coordinated interaction with external systems.
2Measurement precision
If HIDs capture detailed sensor data about user interactions, then measurement precision of user behavior is improved, but loss of information increases
Solution Approach 1:
The system extracts and processes only the essential features from detailed sensor data (such as keystroke frequency, velocity, pressure) using AI models, while filtering out redundant information. This extraction approach maintains measurement precision for behavioral analysis while reducing the volume of information that could be lost during transmission and processing.
Solution Approach 2:
The HID performs preliminary processing of sensor data locally using embedded AI models before transmitting to the host system. This preliminary action prepares and optimizes the data, ensuring that only the most relevant information is transmitted, thereby maintaining precision while minimizing potential information loss during subsequent processing stages.
3Speed
If HIDs process user input locally using AI models, then speed of response is improved, but use of energy by the HID increases
Solution Approach 1:
The HID executes only partial AI processing locally using lightweight models for immediate response, while deferring more computationally intensive AI tasks to the cloud or host system. This partial action approach maintains fast local response for critical input processing while reducing overall energy consumption by avoiding complete local execution of all AI models.
Data Source
AI summary
Systems and methods for intelligent Human Interface Devices (HIDs) interactions. 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: process raw user input via an Artificial Intelligence (AI) model to produce processed user input; and transmit the processed user input to an Information Handling System (IHS) coupled to the HID.