Caller-Status Call Assistant for Dynamic Response Adaptation
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Solution Overview
Problem
Conventional call assistant systems fail to effectively filter out irrelevant information from voice mails and do not adapt responses based on the current status of the caller or callee, leading to cumbersome retrieval of useful information and inappropriate messages.
Innovation Solution
An electronic call assistant system that determines the identity of the caller and callee, acquires content from various applications and sensors, and communicates a custom audio response based on the extracted text queries, caller and callee statuses, and access levels, allowing for real-time adaptation of responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional automatic call answering machines play pre-recorded audio messages, then the callee can be notified of incoming calls, but the messages are static and do not adapt to the current status of the caller or callee
Solution Approach 1:
The patent applies dynamics by transitioning from static pre-recorded messages to dynamic, real-time generated responses. The call assistant analyzes current caller status (from voice stress, speech patterns) and callee status (from sensor data, application content) to adaptively generate appropriate audio responses, making the system flexible and context-aware rather than fixed and rigid
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring caller characteristics (voice stress analysis, speech signal features) and callee status (sensor data, location, activity) to adjust the call response in real-time. This closed-loop feedback enables the system to learn from interactions and improve response appropriateness based on accumulated data
2Loss of information
If voice mails are recorded for all callers, then complete communication records are maintained, but the recorded voice mails are long and cluttered with irrelevant and superficial information
Solution Approach 1:
The patent extracts only the essential and relevant information from caller messages using natural language processing and speech analysis. Instead of storing complete voice mails, the system identifies and retains key information such as caller intent, urgency level, and important details, discarding irrelevant chatter and superficial content
Solution Approach 2:
The patent introduces an intermediary processing layer (call assistant with NLP capabilities) between the caller and callee that filters, summarizes, and structures communication content. This intermediary transforms raw voice messages into concise, organized information summaries that preserve essential meaning while eliminating redundancy
3Productivity
If the call assistant analyzes caller status and callee status to generate custom responses, then communication effectiveness is improved, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent segments the complex analysis task into distinct modules: voice stress analysis, speech signal processing, sensor data interpretation, application content analysis, and response generation. Each module handles a specific aspect of status determination, making the overall system more manageable and efficient despite the comprehensive analysis performed
Data Source
AI summary
An electronic call assistant based on a callee-status and a caller-status, comprises one or more sensors, a memory, and a circuitry. The memory in the first electronic device may be configured to store a plurality of applications. The circuitry in the first electronic device is configured to determine an identity of a caller of a voice call received by the first electronic device from a second electronic device. A current callee-status of a callee associated with the first electronic device, is detected. The circuitry is configured to extract a text query from a speech signal in the received voice call. The circuitry is further configured to communicate a custom audio response to the second electronic device based on the extracted text query, the determined identity of the caller, current callee-status of the callee, and the level of access associated with the determined identity.