AI-Enabled HID Mood Detection for Real-Time Adaptive Interaction
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Solution Overview
Problem
Conventional Human Interface Devices (HIDs) lack advanced technologies to adapt to user behavior in real-time, limiting their effectiveness in providing a truly intelligent and responsive user interface.
Innovation Solution
Intelligent HIDs are configured to capture nuanced user interactions through sensors and integrate AI-driven functionalities, allowing them to analyze context and adapt their behavior accordingly, operating with or independent of an Information Handling System (IHS).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional HIDs are used without AI integration, then device complexity remains low, but adaptability to user behavior is poor
Solution Approach 1:
The HID performs self-analysis of user interactions through integrated AI models, automatically detecting user mood and behavior patterns without requiring external analysis systems. The device serves its own analytical needs by processing sensor data locally to generate user state information.
Solution Approach 2:
The HID combines multiple functions into a single device: traditional input functionality plus integrated sensor data collection, AI model execution, and user state analysis. This multi-functional approach enables the device to both capture user interactions and analyze them independently.
2Measurement precision
If HIDs capture detailed sensor data for mood analysis, then measurement precision of user state improves, but loss of information through EC bottleneck increases
Solution Approach 1:
The patent extracts the AI processing functionality from the traditional EC data path and places it directly within the HID. This removes the EC bottleneck from the critical analysis path, allowing detailed sensor data to be processed immediately at the source without information loss through the intermediate controller.
Solution Approach 2:
The HID acts as an intermediary between the sensors and the IHS, performing AI-based mood analysis locally before transmitting results. This intermediary processing prevents information loss by analyzing data at the source rather than relying on the EC to forward all raw sensor data.
3Productivity
If HIDs operate independently of IHS, then productivity through real-time adaptation improves, but device complexity increases
Solution Approach 1:
The HID performs preliminary AI analysis of user state locally before interactions occur, detecting mood changes and behavior patterns in real-time. This preliminary detection enables the device to prepare adaptive responses independently, only engaging the IHS when actual interaction is needed.
Data Source
AI summary
Systems and methods for artificial emotional intelligence using 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 processor to: identify a mood of a user based, at least in part, upon sensor data obtained from an HID; and modify an operation based, at least in part, upon the identification.


