Media Guidance Application Command Automation
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Solution Overview
Problem
Users face frustration due to the repetitive need to input the same sequences of commands when navigating media menus, which negatively impacts their viewing experience.
Innovation Solution
A media guidance application that recognizes and records frequently entered user command sequences, allowing it to automatically issue these sequences when the user accesses the same menu, using biometric identification and command sequence ranking to determine the most frequently used commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually input command sequences to navigate media menus, then they can access services and content, but the repetitive input process is tedious and negatively impacts viewing experience
Solution Approach 1:
The system performs preliminary action by learning and storing frequent command sequences during an initial period when the user manually inputs commands. This historical data is used to automatically execute commands in the future, eliminating repetitive input. The media guidance application monitors and records user commands during a learning phase, then uses this information to automatically navigate menus without requiring repeated manual input.
Solution Approach 2:
The system implements self-service by automatically executing command sequences without requiring continuous user input. The media guidance application monitors user behavior, identifies frequent command patterns, and autonomously executes these commands to navigate media menus. This allows the system to serve itself by learning user preferences and autonomously performing navigation tasks that would otherwise require repeated manual commands.
2Ease of operation
If the media guidance application automatically issues command sequences, then repetitive input is eliminated, but the system complexity increases due to monitoring, detecting, and automating functions
Solution Approach 1:
The system uses feedback by continuously monitoring user command input and adjusting its automatic command issuance based on observed usage patterns. The media guidance application collects feedback from actual user behavior, analyzes which command sequences are most frequently executed, and uses this information to refine its automatic navigation. This feedback loop ensures the automation adapts to user preferences while managing system complexity through data-driven optimization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enhances the user experience by eliminating the need for repetitive command input, providing quicker access to frequently used services or menus, thus improving navigation efficiency.
Implementation Method 1
the media guidance application may use an accelerometer integrated into the remote control device to detect that the remote control has been moved
Implementation Method 2
the media guidance application may use a fingerprint reader integrated into the housing of the remote control device to determine the identity of the user based on his or her fingerprint
Data Source
AI summary
Methods and systems are disclosed for a media guidance application that controls user equipment devices by automatically issuing frequently-used sequences of user commands with a remote control device. For example, the media guidance application may determine that a user typically inputs a particular series of commands when they use a user equipment device at a certain time (e.g., navigating to a March Madness application during March). The media guidance application may then identify the user when he or she picks up the remote control and automatically, without user input, cause the remote control to issue the appropriate user command sequence. The media guidance application may also determine new or augmented sequences based on additional inputs received from the user. This may allow users to more easily navigate to and use their favorite services.