Pivot Menu for Adaptive Media Content Discovery
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Solution Overview
Problem
The abundance of media content available online makes it challenging for users to efficiently discover and engage with content suited to their preferences, leading to a tedious and time-consuming search process, resulting in a suboptimal user experience.
Innovation Solution
A system and method for adaptive content control and display that utilizes a pivot menu during media playback, allowing users to interact with player controls, information, related media, playlists, and channels without interrupting the content consumption, enabling seamless discovery and selection of additional content based on user inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users search for and discover content manually through traditional methods, then they can find content suited to their preferences, but the process becomes tedious, difficult, and time consuming
Solution Approach 1:
The system automatically performs content discovery and recommendation by analyzing user behavior patterns, viewing history, and preferences without requiring manual searching. The pivot menu proactively presents relevant content based on user engagement, allowing the system to serve itself in identifying and delivering suitable content.
Solution Approach 2:
The system implements continuous feedback loops by monitoring user interactions with content and using this data to dynamically adjust recommendations. The pivot menu adapts its content suggestions based on real-time user behavior, creating a self-improving recommendation system that becomes more accurate over time.
2Adaptability or versatility
If users access large archives of media content, then content variety and availability increase, but locating and identifying suitable content becomes more difficult
Solution Approach 1:
The pivot menu acts as an intermediary layer between the user and the vast content archive. It processes and filters the large volume of available content, presenting only the most relevant options to the user based on their preferences and behavior, thus simplifying content identification without reducing archive size.
Solution Approach 2:
The system segments the vast content archive into manageable, contextually relevant groups displayed through the pivot menu. By organizing content into categorized sections based on user preferences and viewing history, it makes the large archive searchable and identifiable without requiring users to navigate through all available content.
3Ease of operation
If a comprehensive menu system is provided for content navigation, then user control and content discovery improve, but interface complexity increases
Solution Approach 1:
The pivot menu implements dynamic behavior by adapting its structure and content based on user interactions and context. Rather than presenting a static comprehensive menu, it dynamically adjusts to show only relevant options at each moment, reducing perceived complexity while maintaining full functionality when needed.
Solution Approach 2:
The system adds a temporal dimension to menu navigation, allowing users to access comprehensive controls at any point during playback. The pivot menu can be invoked on-demand, providing full navigation capabilities when needed while maintaining a simple playback interface during content consumption, thus separating spatial and temporal aspects of interface complexity.
Data Source
AI summary
This disclosure relates to adaptive content control and display for internet media. A playback component provides for playback of media content. An input component detects user inputs during playback of the content. In response to the user inputs being detected, a menu component displays a level of a pivot menu during playback of the content. The pivot menu is displayed on top, or in front, of a portion of the content during playback, and the pivot menu can be at least partially transparent to enable consumption of the content to continue without complete obstruction.