Context-Driven Voice Control for Media Devices
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Solution Overview
Problem
Current voice control systems for media and audio/visual components are limited in their ability to provide intelligent and customized control, leading to frustration for users, as they typically only convert voice to text and perform generic searches without considering individual user contexts or devices.
Innovation Solution
A context-driven voice-control system that gathers user attributes and dynamically generates control and support pathways based on user inputs, allowing users to manage accounts, troubleshoot issues, and control media services using vocal commands, with features like sequential stage presentation and authorization signals for selected actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current voice control systems merely convert voice to text and perform generic word search, then the system complexity is low, but the user experience and control intelligence are insufficient
Solution Approach 1:
The voice control system is segmented into multiple specialized modules: voice-to-text conversion module, natural language processing module, context analysis module, device control module, and user profile management module. Each module handles a specific aspect of voice control, allowing the system to achieve high intelligence through modular architecture rather than monolithic complexity.
Solution Approach 2:
A context management intermediary is introduced that sits between the voice-to-text conversion and the actual device control. This intermediary analyzes the converted text, retrieves relevant user context and device states, and generates appropriate control commands. It acts as a mediator that transforms simple text conversion into intelligent contextual control without requiring complete system redesign.
2Measurement precision
If voice control systems lack user context and device awareness, then the system operation is simple, but the control accuracy and user satisfaction deteriorate
Solution Approach 1:
The system performs preliminary actions by continuously gathering and storing user context information (preferences, usage patterns, device configurations) before voice commands are issued. User profiles and device states are pre-loaded and maintained in context databases, so when a voice command arrives, the system already has the necessary contextual information to accurately interpret and execute the command without requiring complex real-time analysis.
Solution Approach 2:
The system implements feedback loops where the results of voice-controlled actions are fed back into the context management system. When a user successfully controls a device or corrects a misinterpretation, this feedback updates the user profile and context data, improving future control accuracy. The system continuously learns from user interactions to refine its understanding of user intent and device states.
Data Source
AI summary
A context-driven voice-control system and method for enabling users to control customer service activities related to live broadcast programming, recorded programming, streaming programming, and on-demand programming using vocal selection by the user. The context-driven voice-control system and method may also enable users to control one or more of account management activities using vocal selection by the user, authentication to authorize changes to their account using vocal selection by the user, and troubleshooting of equipment and system capabilities using vocal selection by the user. The context-driven voice-control system and method dynamically generates and presents a list of available control and support pathways to a user based on the user attributes and the voice control requests.