Media Guidance Application Verbal Command Authorization
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Solution Overview
Problem
Existing media guidance systems fail to effectively handle non-guidance verbal commands and ambient sounds by not considering user authorization and relationships when determining playback modifications.
Innovation Solution
A media guidance application that detects verbal commands from one user to another, compares them to a database of commands, and modifies playback based on user profiles, ranks, and characteristics to encourage the intended action, while ensuring authorized actions are allowed and unauthorized actions are prevented.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system modifies playback in response to any detected sound or verbal command, then the system responds to all user inputs, but it cannot distinguish between authorized and unauthorized users to perform the action
Solution Approach 1:
The system applies different response behaviors to different users based on their authorization status. Authorized users trigger playback modification, while unauthorized users do not, creating localized quality differences in system response based on user identity and permissions.
Solution Approach 2:
The system dynamically adjusts its response to verbal commands based on real-time user identification and authorization checks. The playback modification behavior changes dynamically depending on whether the detected user is authorized to perform the requested action.
2Ease of operation
If the system translates non-playback commands into playback modifications to encourage user action, then user interaction is enhanced, but the system complexity increases due to command interpretation and user profile analysis
Solution Approach 1:
The system uses a universal command processing mechanism that handles both traditional playback commands and non-playback verbal commands through a unified interface. The same audio detection and command interpretation infrastructure serves multiple purposes, reducing the need for separate specialized systems.
Solution Approach 2:
The system automatically analyzes user profiles, determines authorization status, and decides on playback modifications without requiring manual configuration or intervention. The command processing system self-adapts to user characteristics and automatically executes appropriate responses.
3Productivity
If the system detects verbal commands and modifies playback to encourage intended actions, then media management is enhanced, but the difficulty of detecting and measuring user intent and authorization increases
Solution Approach 1:
The system uses user profiles and historical data as feedback mechanisms to infer authorization status and intent. By analyzing patterns in user behavior and characteristics stored in profiles, the system can predict whether a user should be allowed to perform certain actions without requiring explicit verification for each command.
Solution Approach 2:
The system pre-analyzes and stores user profiles, characteristics, and authorization rules before commands are issued. This preliminary preparation of user data enables faster and more accurate intent detection when verbal commands are received, as the framework for evaluation is already in place.
Data Source
AI summary
Systems and methods are described for determining whether a user is authorized to perform an action that meets a goal of a sound. A media guidance application may detect a sound generated by a first device external to a media equipment device. The media guidance application may retrieve, from a lookup table, a known goal that is associated with the sound. The media guidance application may detect a user in a viewing environment. The media guidance application may determine an identity of the user, and may modify playback to encourage or discourage the user from achieving the known goal based on the identity of the user.