Live Caption Interface for Faster Session Control
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Solution Overview
Problem
Existing techniques for managing captions on electronic devices are cumbersome and inefficient, requiring multiple key presses, wasting user time and device energy, particularly in battery-operated devices.
Innovation Solution
Faster and more efficient methods and interfaces for managing captions in live communication sessions, including the ability to display expanded caption information and switch user interfaces, reduce the cognitive burden on users, and conserve power by optimizing user inputs and interface modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If captions are manually reviewed and edited before posting, then caption quality and accuracy are improved, but the time and labor required increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating multiple caption variations and pre-selecting optimal candidates using AI models before the user needs them. This includes pre-generating captions, pre-evaluating them against brand guidelines, and pre-ranking options, so that when posting time arrives, the user already has curated caption choices ready rather than starting from scratch.
Solution Approach 2:
The patent replaces the manual mechanical process of caption creation and review with automated AI-based systems. Machine learning models generate captions, natural language processing evaluates them against brand guidelines, and algorithms rank options - substituting human manual labor with automated intelligent systems that work faster and consistently.
2Manufacturing precision
If multiple caption options are generated and reviewed, then the best caption can be selected, but the complexity of the process increases
Solution Approach 1:
The system performs self-service by automatically generating multiple caption variations, evaluating them against brand guidelines using AI models, ranking the options, and presenting curated selections to the user. This self-service automation handles the complex tasks of generation, evaluation, and filtering, leaving the user to simply review and select from pre-processed options.
Solution Approach 2:
The system implements feedback loops where AI models evaluate generated captions against brand guidelines and performance metrics, then use this feedback to refine and rank the captions. User selections and edits are also fed back into the system to continuously improve the AI models, creating a self-improving cycle that manages complexity through intelligent feedback mechanisms.
3Stability of the object's composition
If brand guidelines are strictly enforced during caption creation, then brand consistency is improved, but the ease of creating captions decreases
Solution Approach 1:
The patent replaces manual compliance checking with automated AI-based systems that continuously evaluate captions against brand guidelines. Natural language processing models automatically assess tone, style, and content requirements, freeing users from manually worrying about compliance while ensuring consistent brand adherence through automated evaluation and filtering.
4Productivity
If AI-based auto-complete suggestions are used, then caption creation speed is improved, but the precision and brand alignment may decrease
Solution Approach 1:
The patent replaces basic AI auto-complete with sophisticated multi-model AI systems that not only generate captions quickly but also evaluate them against brand guidelines using natural language processing. The system substitutes simple completion algorithms with intelligent models that balance speed and quality by generating multiple options and automatically filtering for brand compliance.
Data Source
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AI summary
The present disclosure generally relates to embodiments for a live communication interface for managing captions.