Dynamic Topology Generation for Interactive Media Playback
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Solution Overview
Problem
Conventional interactive media titles have a fixed structure that does not adapt to individual user preferences, leading to a less engaging experience and inefficient resource allocation for streaming and buffering.
Innovation Solution
A computer-implemented method that dynamically generates and modifies the topology of an interactive media title based on user data and preferences, allowing for personalized choices and optimized resource allocation by selectively buffering segments based on predicted user selections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all content associated with each possible choice is buffered, then the user experience is improved by having all options available, but network and device resources are wasted by buffering content that is never chosen
Solution Approach 1:
The system changes the buffering parameters dynamically based on user behavior data. Instead of buffering all content uniformly, it adjusts buffering parameters (such as buffer size, pre-fetching amount, and prioritization) for different content segments based on predicted user choices, thereby optimizing resource usage while maintaining user experience.
Solution Approach 2:
The system uses user behavior data to automatically determine which content segments to buffer, eliminating the need for manual configuration or conservative over-buffering. The buffering decisions are made autonomously based on patterns learned from user interactions, allowing the system to serve itself efficiently.
2Ease of manufacture
If the structure of interactive media title is fixed, then the implementation is simpler, but it cannot be adapted to suit different users' interests and preferences
Solution Approach 1:
The system transforms the fixed structure into a dynamic one that adapts based on user behavior data. The topology of the interactive media title is modified in real-time during playback based on user choices and preferences, allowing the structure to evolve and personalize itself without requiring complete reimplementation.
Solution Approach 2:
The system performs preliminary analysis of user behavior data before playback to pre-determine the optimal topology structure for each user. This preliminary action allows the system to prepare personalized pathways and content selections in advance, balancing implementation simplicity with user adaptability.
3Reliability
If the topology is modified based on user behavior data, then the user experience is personalized and improved, but the system complexity increases
Solution Approach 1:
The system implements feedback loops where user behavior data is continuously collected during playback and used to dynamically adjust the topology. This feedback mechanism allows the system to learn from user interactions and automatically optimize the content delivery without requiring complex manual intervention or system redesign.
Solution Approach 2:
The system introduces an intermediary layer (the topology modification module) that sits between the fixed content structure and the user interface. This intermediary handles the complexity of personalization by translating user behavior data into topology adjustments, shielding the rest of the system from direct complexity while enabling personalized experiences.
4Ease of operation
If buffering decisions are made without user data, then the system is simpler to operate, but resource allocation is inefficient
Solution Approach 1:
The system automatically makes buffering decisions based on user behavior data without requiring manual configuration or complex operational input. The buffering engine self-adjusts parameters and selects content segments to buffer autonomously, maintaining ease of operation while dramatically improving resource allocation efficiency through data-driven decisions.
Data Source
AI summary
A playback application is configured to dynamically generate topology for an interactive media title. The playback application obtains an initial topology and also collects various data associated with a user interacting with the feature. The playback application then modifies the initial topology, based on the collected data, to generate a dynamic topology tailored to the user. The dynamic topology describes the set of choices available to the user during playback as well as which options can be selected by the user when making a given choice. In addition, the playback application also selectively buffers different portions of the interactive media title, based on the collected data, in anticipation of the user selecting particular options for available choices.