Dialogue Device Blink Timing Synchronization
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Solution Overview
Problem
Current technologies face challenges in effectively utilizing human blinking behavior to enhance communication with artificial agents, as existing methods struggle to accurately assess user interest and synchronize blink timings between humans and dialogue devices.
Innovation Solution
A processing device that acquires and analyzes blink timing data from both users and dialogue devices, calculating an index based on the synchronization degree of blink timings to evaluate user interest and adjust dialogue processing accordingly, while also considering environmental factors to control blink motions naturally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blink timing synchronization between user and dialogue device is implemented, then communication quality and user interest evaluation are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent replaces complex mechanical or hardware-based blink detection systems with image processing and computer vision algorithms. The processing device uses software-based analysis of video frames to detect eyelid movement, substituting physical sensors with computational methods that reduce hardware complexity while maintaining detection accuracy.
Solution Approach 2:
The patent creates a virtual model of natural human blinking behavior that the dialogue device can emulate. By analyzing and replicating the temporal patterns of user blinks, the system generates synthetic blink timing data that mirrors human behavior, enabling synchronization without requiring complex real-time physiological monitoring of the device itself.
2Measurement precision
If quantitative evaluation of user interest through blink timing analysis is implemented, then user engagement assessment is improved, but measurement and detection difficulty increase
Solution Approach 1:
The patent divides the complex task of user interest evaluation into distinct temporal segments based on blink events. By isolating and analyzing specific time windows around detected blinks, the system can precisely measure engagement metrics without needing to continuously process all visual data, reducing overall detection complexity while maintaining measurement precision.
Solution Approach 2:
The patent implements preliminary blink detection and timing registration before performing the actual user interest evaluation. The system first detects and records all blink events with precise timestamps, then uses this pre-processed timing data as input for the interest evaluation algorithm, separating the detection phase from the analysis phase to reduce computational difficulty.
3Stability of the object's composition
If environmental factors are considered for controlling dialogue device blink motion, then naturalness of blink motion is improved, but processing time and computational load increase
Solution Approach 1:
The patent performs preliminary analysis of environmental factors and user behavior patterns before the actual dialogue interaction begins. The system pre-processes environmental data and establishes baseline blink patterns, so that during the dialogue, it only needs to make minor adjustments based on real-time conditions rather than computing everything from scratch, reducing processing time while maintaining naturalness.
Solution Approach 2:
The patent implements periodic updates of environmental factor consideration rather than continuous processing. The system evaluates environmental conditions at regular intervals and adjusts blink motion parameters accordingly, rather than constantly monitoring and reacting to every environmental change, which reduces computational load while maintaining the appearance of natural, adaptive behavior.
Data Source
AI summary
A processing device includes a memory configured to store executable instructions, and processing circuitry configured to execute the executable instructions stored in the memory to thereby realize: a first acquisition unit configured to acquire timing of blink motion performed by a dialogue device, a second acquisition unit configured to acquire blink timing by user performing a dialogue with the dialogue device, and a processing unit configured to perform processing according to difference between the timing of blink motion performed by the dialogue device and the blink timing by the user.