Conversational AI for Context-Aware Media Device Control
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Solution Overview
Problem
Users face difficulty and cumbersome interactions with media devices due to the complexity of navigating large amounts of content, channels, applications, settings, and functionalities, especially when using limited input devices like remote controls.
Innovation Solution
Implementing a conversational artificial intelligence system with a neural network that processes voice inputs, understands context, and generates commands to control media devices, reducing interaction complexity and enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional remote control interfaces are used to navigate media devices, then device control functionality is maintained, but user interaction becomes complex and cumbersome
Solution Approach 1:
The patent replaces mechanical remote control interfaces with voice-based natural language processing. Users speak commands instead of pressing physical buttons, substituting mechanical interaction with acoustic field-based communication. The system processes speech inputs through automatic speech recognition and natural language understanding to execute media device controls, dramatically simplifying user interaction while maintaining full device functionality.
2Adaptability or versatility
If comprehensive media content and functionalities are provided, then system capability is enhanced, but navigation and control difficulty increases
Solution Approach 1:
The patent introduces natural language processing and contextual understanding systems as intermediaries between users and the complex media device ecosystem. Instead of requiring users to directly navigate complex menus and settings, the voice-activated AI assistant acts as a mediator that interprets user intent, understands contextual information, and automatically executes appropriate commands across multiple devices and functions, making comprehensive system capabilities accessible through simple speech.
3Ease of operation
If voice recognition is implemented for media device control, then interaction simplicity is improved, but understanding complex user intent becomes more difficult
Solution Approach 1:
The patent implements feedback mechanisms where the voice-activated system confirms its understanding of user commands and requests clarification when intent is ambiguous. The system provides real-time feedback about detected commands, suggested actions, and contextual interpretations, allowing users to verify and correct the system's understanding before execution. This iterative feedback loop enhances the system's ability to accurately detect and measure complex user intent while maintaining interaction simplicity.
Data Source
AI summary
System, apparatus, article of manufacture, method and/or computer program embodiments are provided for using an artificial intelligence system to interact with a device. An example method can include obtaining a transcript of a voice input requesting a task from a media device and recognized using automatic speech recognition; based on the transcript and auxiliary data, generating an input to a neural network, the auxiliary data including context data and/or historical data associated with previous voice interactions with the media device; based on the input, determining, by the neural network, a response to the voice input; generating, by the neural network, an output based on the response; converting the output from the neural network into an executable command configured to trigger the media device to perform an action associated with the response to the voice input; and based on the command, triggering the media device to perform the action.