Wearable Automatic Response System Using Ranked Knowledge Base
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Solution Overview
Problem
Wearable devices with small displays or without displays face challenges in generating detailed responses to communications due to their limited input capabilities, making it difficult for users to effectively respond to messages or calls.
Innovation Solution
An automatic response system that uses a knowledge base to provide ranked possible user responses on a wearable device, allowing users to select from pre-defined responses based on communication type and contact identifier, thereby facilitating response selection without manual typing on the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If a small display or no display is used in wearable devices, then the device size and portability are improved, but the ability to generate detailed responses to communications deteriorates
Solution Approach 1:
The patent introduces a companion device as an intermediary that handles the complex task of generating detailed response messages. The wearable device communicates with the companion device, which then provides simplified response options to the user. This mediator approach allows the wearable to maintain its small form factor while still enabling detailed communication responses through the companion device's larger interface.
Solution Approach 2:
The system pre-generates multiple possible response messages before presenting them to the user. The companion device analyzes the incoming communication and prepares several potential responses in advance, allowing the user to simply select from pre-formed options rather than composing messages in real-time on the small wearable display.
2Adaptability or versatility
If manual typing is required on the wearable device, then response personalization is improved, but the time and effort required to respond deteriorates
Solution Approach 1:
The companion device performs preliminary analysis of incoming communications and pre-generates multiple personalized response options based on the conversation context, user preferences, and communication type. This advance preparation eliminates the need for real-time composition on the wearable device, significantly reducing response time while maintaining personalization through user selection from tailored options.
Solution Approach 2:
The system incorporates feedback mechanisms where user selections from pre-generated responses are analyzed and used to improve future response suggestions. The companion device learns from user preferences and communication patterns, refining its pre-generated options over time to better match user intentions, thus maintaining personalization without requiring manual typing.
3Productivity
If pre-defined responses are provided, then response speed is improved, but response accuracy and relevance deteriorates
Solution Approach 1:
The system dynamically adapts the pre-defined responses based on the specific communication context, user preferences, and conversation history. Rather than using static pre-defined responses, the companion device adjusts and customizes response options in real-time to match the relevance requirements of each specific situation, maintaining both speed and accuracy.
Solution Approach 2:
The system uses feedback from user selections and communication outcomes to continuously refine and update the pre-defined response database. This feedback loop ensures that pre-defined responses remain relevant and accurate over time, as the system learns from actual usage patterns and adjusts its suggestions accordingly.
Data Source
AI summary
One embodiment provides an apparatus. The apparatus includes a wearable device. The wearable device includes a knowledge base, a user interface and automatic response logic. The knowledge base includes at least one data structure. Each data structure includes a plurality of ranked possible user responses. The automatic response logic is to select one data structure of the at least one data structure in response to a received communication. The selecting is based, at least in part, on an event type and based, at least in part, on a contact identifier. The communication is received from a communication partner device via a companion device. The automatic response logic is further to provide at least one ranked possible user response from the selected data structure to a user via the user interface.