Automatic Content Toggle System for Multi-Channel Viewing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Viewers face challenges in being aware of upcoming content of interest and efficiently switching between multiple shows airing simultaneously, as existing remote controls do not facilitate seamless toggling between three or more channels without manual input.
Innovation Solution
A system and method that gather user data from viewing history, social media, and profiles to determine prospective content and toggle triggers, allowing automatic switching between shows based on user interests and preferences without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If viewers use remote control to switch between channels manually, then they can access different content, but the process becomes cumbersome and time-consuming when three or more shows are of interest
Solution Approach 1:
The system automatically monitors multiple channels and switches between them without user intervention. The electronic device independently determines when to toggle between shows based on pre-configured criteria, eliminating the need for manual remote control operations and reducing the burden on viewers when watching multiple shows simultaneously
Solution Approach 2:
The system pre-configures toggle criteria and monitors channel schedules in advance. By determining upcoming shows and pre-establishing switching criteria, the system prepares to automatically switch between channels before the viewer needs to manually intervene, enabling proactive content delivery rather than reactive user control
2Productivity
If viewers manually switch between channels using remote control, then they can watch multiple shows, but they may miss content due to the time required for manual switching
Solution Approach 1:
The electronic device autonomously monitors multiple channels and executes automatic switching based on predetermined criteria, eliminating the time-consuming manual remote control process. This self-service approach ensures continuous monitoring without interruption, preventing viewers from missing content due to manual switching delays
Solution Approach 2:
The system continuously monitors channel schedules and maintains persistent tracking of upcoming shows. This continuous monitoring ensures that the system is always ready to switch channels at the optimal moment, maintaining uninterrupted viewing coverage and eliminating the gaps that occur during manual channel switching
3Ease of operation
If the system automatically switches between shows based on user data, then viewing convenience is improved, but the system complexity increases
Solution Approach 1:
The system introduces an intermediary layer that automatically processes user data and determines switching criteria. This intermediary mechanism translates complex user preferences into simple automatic switching actions, shielding the viewer from system complexity while delivering convenient automated content delivery
Solution Approach 2:
The system performs preliminary data gathering and processing to establish switching criteria in advance. By pre-determining toggle triggers and configured shows based on user profiles and viewing history, the system simplifies the actual viewing process while managing complexity through advance preparation
Data Source
AI summary
Methods and systems for toggling between media content that is provided from a content service provider and displayed on a display. The systems and methods prospectively determine a variety of content that may be of interest to the user and that will air at some point in the future. This includes different content that will be available at the same time. The systems and methods also determine toggle types and toggle triggers for the content. The occurrence of a toggle trigger while first content is being displayed results in switching the display to a different second content. The prospective content and associated toggle types and triggers are determined based on gathered information about the user.


